CRAN Package Check Results for Package DecisionAnalysis

Last updated on 2019-12-07 08:49:24 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.0 6.48 61.18 67.66 ERROR
r-devel-linux-x86_64-debian-gcc 1.0.0 5.24 46.27 51.51 OK
r-devel-linux-x86_64-fedora-clang 1.0.0 79.46 NOTE
r-devel-linux-x86_64-fedora-gcc 1.0.0 75.88 NOTE
r-devel-windows-ix86+x86_64 1.0.0 15.00 79.00 94.00 OK
r-devel-windows-ix86+x86_64-gcc8 1.0.0 16.00 78.00 94.00 OK
r-patched-linux-x86_64 1.0.0 5.17 55.29 60.46 OK
r-patched-solaris-x86 1.0.0 119.20 WARN
r-release-linux-x86_64 1.0.0 5.97 54.75 60.72 OK
r-release-windows-ix86+x86_64 1.0.0 12.00 75.00 87.00 OK
r-release-osx-x86_64 1.0.0 WARN
r-oldrel-windows-ix86+x86_64 1.0.0 8.00 71.00 79.00 OK
r-oldrel-osx-x86_64 1.0.0 WARN

Check Details

Version: 1.0.0
Check: examples
Result: ERROR
    Running examples in 'DecisionAnalysis-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: DecisionAnalysis-package
    > ### Title: DecisionAnalysis: Multi-Objective Decision Analysis
    > ### Aliases: DecisionAnalysis DecisionAnalysis-package
    >
    > ### ** Examples
    >
    >
    > #Create a value hierarchy tree
    > branches<- as.data.frame(matrix(ncol=5,nrow=7))
    > names(branches)<-c("Level1","Level2","Level3","leaves","weights")
    > branches[1,]<-rbind("QB","Elusiveness","Speed","Forty","0.092")
    > branches[2,]<-rbind("QB","Elusiveness","Agility","Shuttle","0.138")
    > branches[3,]<-rbind("QB","Size","","Height","0.096")
    > branches[4,]<-rbind("QB","Size","","Weight","0.224")
    > branches[5,]<-rbind("QB","Intelligence","","Wonderlic","0.07")
    > branches[6,]<-rbind("QB","Strength","Explosiveness","Vertical","0.152")
    > branches[7,]<-rbind("QB","Strength","Power","Broad","0.228")
    > value_hierarchy_tree(branches$Level1,branches$Level2,branches$Level3,
    + leaves=branches$leaves,weights=branches$weights)
    >
    >
    > #subset NFLcombine data from DecisionAnalysis package
    > qbdata <- NFLcombine[1:7,]
    >
    > #Create SAVF_matrix
    > Height <- SAVF_exp_score(qbdata$heightinchestotal, 68, 75.21, 82)
    > Weight <- SAVF_exp_score(qbdata$weight, 185, 224.34, 275)
    > Forty <- SAVF_exp_score(qbdata$fortyyd, 4.3, 4.81, 5.4, increasing=FALSE)
    > Shuttle <- SAVF_exp_score(qbdata$twentyss, 3.8, 4.3, 4.9, increasing=FALSE)
    > Vertical <- SAVF_exp_score(qbdata$vertical, 21, 32.04, 40)
    > Broad <- SAVF_exp_score(qbdata$broad, 90, 111.24, 130)
    > Wonderlic <- SAVF_exp_score(qbdata$wonderlic, 0, 27.08, 50)
    > SAVF_matrix = cbind(Height, Weight, Forty, Shuttle, Vertical, Broad, Wonderlic)
    >
    > #Create weights vector
    > weights = c(0.096, 0.224, 0.092, 0.138, 0.152, 0.228, 0.07)
    >
    > #Calculate MAVF Score
    > MAVF_Scores(SAVF_matrix, weights, qbdata$name)
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
    :
     --- package (from environment) ---
    DecisionAnalysis
     --- call from context ---
    MAVF_Scores(SAVF_matrix, weights, qbdata$name)
     --- call from argument ---
    if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
    }
     --- R stacktrace ---
    where 1: MAVF_Scores(SAVF_matrix, weights, qbdata$name)
    
     --- value of length: 2 type: logical ---
    [1] FALSE TRUE
     --- function from context ---
    function (SAVF_matrix, weights, names)
    {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
    }
    <bytecode: 0x6287560>
    <environment: namespace:DecisionAnalysis>
     --- function search by body ---
    Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
    Error in if (class(SAVF_matrix) != "matrix") { :
     the condition has length > 1
    Calls: MAVF_Scores
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.0
Check: tests
Result: ERROR
     Running 'testthat.R' [6s/7s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(DecisionAnalysis)
     >
     > test_check("DecisionAnalysis")
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_breakout(SAVF_matrix, weights2, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_breakout(SAVF_matrix, weights2, names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_breakout.R#21: expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_breakout.R#18: test_that("MAVF_breakout provides proper messages and warnings",
     {
     expect_error(MAVF_breakout(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     Measurement <- dplyr::quo(Measurement)
     Value <- dplyr::quo(Value)
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     SAVF <- t(SAVF_matrix) * weights
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF, t(SAVF))
     `%>%` <- dplyr::`%>%`
     value %>% tidyr::gather(Measurement, Value, -c(1:2)) %>%
     dplyr::group_by(Measurement) %>% ggplot2::ggplot(ggplot2::aes(x = stats::reorder(names,
     MAVF), y = Value, fill = Measurement)) + ggplot2::geom_bar(stat = "identity") +
     ggplot2::coord_flip() + ggplot2::ylab("Weighted SAVF Scores") +
     ggplot2::xlab("Alternatives") + ggplot2::ggtitle("Breakout of Weighted SAVF")
     }
     <bytecode: 0x40e34f0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_breakout in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_breakout(SAVF_matrix, weights = SAVF_matrix, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_breakout(SAVF_matrix, weights = SAVF_matrix, names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_breakout.R#22: expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_breakout.R#18: test_that("MAVF_breakout provides proper messages and warnings",
     {
     expect_error(MAVF_breakout(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     Measurement <- dplyr::quo(Measurement)
     Value <- dplyr::quo(Value)
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     SAVF <- t(SAVF_matrix) * weights
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF, t(SAVF))
     `%>%` <- dplyr::`%>%`
     value %>% tidyr::gather(Measurement, Value, -c(1:2)) %>%
     dplyr::group_by(Measurement) %>% ggplot2::ggplot(ggplot2::aes(x = stats::reorder(names,
     MAVF), y = Value, fill = Measurement)) + ggplot2::geom_bar(stat = "identity") +
     ggplot2::coord_flip() + ggplot2::ylab("Weighted SAVF Scores") +
     ggplot2::xlab("Alternatives") + ggplot2::ggtitle("Breakout of Weighted SAVF")
     }
     <bytecode: 0x40e34f0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_breakout in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_breakout(SAVF_matrix[, 1:6], weights, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_breakout(SAVF_matrix[, 1:6], weights, names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_breakout.R#23: expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights, names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_breakout.R#18: test_that("MAVF_breakout provides proper messages and warnings",
     {
     expect_error(MAVF_breakout(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     Measurement <- dplyr::quo(Measurement)
     Value <- dplyr::quo(Value)
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     SAVF <- t(SAVF_matrix) * weights
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF, t(SAVF))
     `%>%` <- dplyr::`%>%`
     value %>% tidyr::gather(Measurement, Value, -c(1:2)) %>%
     dplyr::group_by(Measurement) %>% ggplot2::ggplot(ggplot2::aes(x = stats::reorder(names,
     MAVF), y = Value, fill = Measurement)) + ggplot2::geom_bar(stat = "identity") +
     ggplot2::coord_flip() + ggplot2::ylab("Weighted SAVF Scores") +
     ggplot2::xlab("Alternatives") + ggplot2::ggtitle("Breakout of Weighted SAVF")
     }
     <bytecode: 0x40e34f0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_breakout in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"))
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"))
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_breakout.R#24: expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_breakout.R#18: test_that("MAVF_breakout provides proper messages and warnings",
     {
     expect_error(MAVF_breakout(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     Measurement <- dplyr::quo(Measurement)
     Value <- dplyr::quo(Value)
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     SAVF <- t(SAVF_matrix) * weights
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF, t(SAVF))
     `%>%` <- dplyr::`%>%`
     value %>% tidyr::gather(Measurement, Value, -c(1:2)) %>%
     dplyr::group_by(Measurement) %>% ggplot2::ggplot(ggplot2::aes(x = stats::reorder(names,
     MAVF), y = Value, fill = Measurement)) + ggplot2::geom_bar(stat = "identity") +
     ggplot2::coord_flip() + ggplot2::ylab("Weighted SAVF Scores") +
     ggplot2::xlab("Alternatives") + ggplot2::ggtitle("Breakout of Weighted SAVF")
     }
     <bytecode: 0x40e34f0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_breakout in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_breakout(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_breakout(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers(code, warning = function(condition) {
     out$push(condition)
     maybe_restart("muffleWarning")
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_warnings)
     where 6 at testthat/test_MAVF_breakout.R#25: expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224, 0.092,
     0.138, 0.15, 0.22, 0.05), names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_breakout.R#18: test_that("MAVF_breakout provides proper messages and warnings",
     {
     expect_error(MAVF_breakout(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_breakout(SAVF_matrix, weights2, names))
     expect_error(MAVF_breakout(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_breakout(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_breakout(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_breakout(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     Measurement <- dplyr::quo(Measurement)
     Value <- dplyr::quo(Value)
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     SAVF <- t(SAVF_matrix) * weights
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF, t(SAVF))
     `%>%` <- dplyr::`%>%`
     value %>% tidyr::gather(Measurement, Value, -c(1:2)) %>%
     dplyr::group_by(Measurement) %>% ggplot2::ggplot(ggplot2::aes(x = stats::reorder(names,
     MAVF), y = Value, fill = Measurement)) + ggplot2::geom_bar(stat = "identity") +
     ggplot2::coord_flip() + ggplot2::ylab("Weighted SAVF Scores") +
     ggplot2::xlab("Alternatives") + ggplot2::ggtitle("Breakout of Weighted SAVF")
     }
     <bytecode: 0x40e34f0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_breakout in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     -- 1. Error: MAVF_breakout provides proper messages and warnings (@test_MAVF_bre
     the condition has length > 1
     Backtrace:
     1. testthat::expect_warning(...)
     6. DecisionAnalysis::MAVF_breakout(...)
    
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_Scores(SAVF_matrix[, 1:6], weights, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_Scores(SAVF_matrix[, 1:6], weights, names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_scores.R#23: expect_error(MAVF_Scores(SAVF_matrix[, 1:6], weights, names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_scores.R#18: test_that("MAVF_scores provides proper messages and warnings",
     {
     expect_error(MAVF_Scores(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_scores(SAVF_matrix, weights2, names))
     expect_error(MAVF_scores(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_Scores(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     expect_error(MAVF_Scores(SAVF_matrix, c("0.096", "0.224",
     "0.092", "0.138", "0.152", "0.228", "0.07"), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
     }
     <bytecode: 0x4100dd0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"))
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"))
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_MAVF_scores.R#24: expect_error(MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_scores.R#18: test_that("MAVF_scores provides proper messages and warnings",
     {
     expect_error(MAVF_Scores(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_scores(SAVF_matrix, weights2, names))
     expect_error(MAVF_scores(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_Scores(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     expect_error(MAVF_Scores(SAVF_matrix, c("0.096", "0.224",
     "0.092", "0.138", "0.152", "0.228", "0.07"), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
     }
     <bytecode: 0x4100dd0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_Scores(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_Scores(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers(code, warning = function(condition) {
     out$push(condition)
     maybe_restart("muffleWarning")
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_warnings)
     where 6 at testthat/test_MAVF_scores.R#25: expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224, 0.092,
     0.138, 0.15, 0.22, 0.05), names))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_MAVF_scores.R#18: test_that("MAVF_scores provides proper messages and warnings",
     {
     expect_error(MAVF_Scores(SAVF_matrix, weights, names))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(MAVF_scores(SAVF_matrix, weights2, names))
     expect_error(MAVF_scores(SAVF_matrix, weights = SAVF_matrix,
     names))
     expect_error(MAVF_Scores(SAVF_matrix[, 1:6], weights,
     names))
     expect_error(MAVF_Scores(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder")))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names))
     expect_warning(MAVF_Scores(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.155, 0.175, 0.228, 0.15), names))
     expect_error(MAVF_Scores(SAVF_matrix, c("0.096", "0.224",
     "0.092", "0.138", "0.152", "0.228", "0.07"), names))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
     }
     <bytecode: 0x4100dd0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     -- 2. Error: MAVF_scores provides proper messages and warnings (@test_MAVF_score
     the condition has length > 1
     Backtrace:
     1. testthat::expect_warning(...)
     6. DecisionAnalysis::MAVF_Scores(...)
    
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_Scores(SAVF_matrix, weights, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_Scores(SAVF_matrix, weights, names)
     where 2: eval_bare(expr, quo_get_env(quo))
     where 3: quasi_label(enquo(object), label, arg = "object")
     where 4 at testthat/test_MAVF_scores.R#33: expect_is(MAVF_Scores(SAVF_matrix, weights, names), "data.frame")
     where 5: eval(code, test_env)
     where 6: eval(code, test_env)
     where 7: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 8: doTryCatch(return(expr), name, parentenv, handler)
     where 9: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 10: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 11: doTryCatch(return(expr), name, parentenv, handler)
     where 12: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 13: tryCatchList(expr, classes, parentenv, handlers)
     where 14: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 15: test_code(desc, code, env = parent.frame())
     where 16 at testthat/test_MAVF_scores.R#32: test_that("MAVF_scores has correct dimensions and output type",
     {
     expect_is(MAVF_Scores(SAVF_matrix, weights, names), "data.frame")
     expect_length(MAVF_Scores(SAVF_matrix, weights, names),
     2)
     })
     where 17: eval(code, test_env)
     where 18: eval(code, test_env)
     where 19: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 20: doTryCatch(return(expr), name, parentenv, handler)
     where 21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 22: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 23: doTryCatch(return(expr), name, parentenv, handler)
     where 24: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 25: tryCatchList(expr, classes, parentenv, handlers)
     where 26: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 27: test_code(NULL, exprs, env)
     where 28: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 29: force(code)
     where 30: doWithOneRestart(return(expr), restart)
     where 31: withOneRestart(expr, restarts[[1L]])
     where 32: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 33: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 34: FUN(X[[i]], ...)
     where 35: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 36: force(code)
     where 37: doWithOneRestart(return(expr), restart)
     where 38: withOneRestart(expr, restarts[[1L]])
     where 39: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 40: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 41: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 42: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 43: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
     }
     <bytecode: 0x4100dd0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     -- 3. Error: MAVF_scores has correct dimensions and output type (@test_MAVF_scor
     the condition has length > 1
     Backtrace:
     1. testthat::expect_is(...)
     4. DecisionAnalysis::MAVF_Scores(SAVF_matrix, weights, names)
    
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     MAVF_Scores(SAVF_matrix, weights, names)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: MAVF_Scores(SAVF_matrix, weights, names)
     where 2: as.matrix(MAVF_Scores(SAVF_matrix, weights, names))
     where 3: eval_bare(expr, quo_get_env(quo))
     where 4: quasi_label(enquo(object), label, arg = "object")
     where 5 at testthat/test_MAVF_scores.R#50: expect_equivalent(as.matrix(MAVF_Scores(SAVF_matrix, weights,
     names)), as.matrix(test1answer))
     where 6: eval(code, test_env)
     where 7: eval(code, test_env)
     where 8: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 9: doTryCatch(return(expr), name, parentenv, handler)
     where 10: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 11: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 12: doTryCatch(return(expr), name, parentenv, handler)
     where 13: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 14: tryCatchList(expr, classes, parentenv, handlers)
     where 15: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 16: test_code(desc, code, env = parent.frame())
     where 17 at testthat/test_MAVF_scores.R#49: test_that("MAVF_Scores computes correctly", {
     expect_equivalent(as.matrix(MAVF_Scores(SAVF_matrix, weights,
     names)), as.matrix(test1answer))
     })
     where 18: eval(code, test_env)
     where 19: eval(code, test_env)
     where 20: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 21: doTryCatch(return(expr), name, parentenv, handler)
     where 22: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 23: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 24: doTryCatch(return(expr), name, parentenv, handler)
     where 25: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 26: tryCatchList(expr, classes, parentenv, handlers)
     where 27: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 28: test_code(NULL, exprs, env)
     where 29: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 30: force(code)
     where 31: doWithOneRestart(return(expr), restart)
     where 32: withOneRestart(expr, restarts[[1L]])
     where 33: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 34: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 35: FUN(X[[i]], ...)
     where 36: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 37: force(code)
     where 38: doWithOneRestart(return(expr), restart)
     where 39: withOneRestart(expr, restarts[[1L]])
     where 40: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 41: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 42: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 43: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 44: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 45: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names)
     {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
     }
     <bytecode: 0x4100dd0>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     -- 4. Error: MAVF_Scores computes correctly (@test_MAVF_scores.R#50) ----------
     the condition has length > 1
     Backtrace:
     1. testthat::expect_equivalent(...)
     5. DecisionAnalysis::MAVF_Scores(SAVF_matrix, weights, names)
    
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     sensitivity_plot(SAVF_matrix, weights2, names, 4)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: sensitivity_plot(SAVF_matrix, weights2, names, 4)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_sensitivity_plot.R#21: expect_error(sensitivity_plot(SAVF_matrix, weights2, names, 4))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_sensitivity_plot.R#18: test_that("sensitivity_plot provides proper messages and warnings",
     {
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     4))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(sensitivity_plot(SAVF_matrix, weights2,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.155, 0.175, 0.228, 0.15), names,
     4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     "4"))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     9))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names, criteria, title = TRUE)
     {
     Names <- dplyr::quo(Names)
     Weight <- dplyr::quo(Weight)
     Value <- dplyr::quo(Value)
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     if ((class(criteria) != "numeric") | (criteria > nrow(SAVF_matrix))) {
     stop("criteria must be a column number of the SAVF_Matrix")
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     i <- criteria
     x <- seq(0, 1, by = 0.1)
     m <- matrix(NA, nrow = length(weights), ncol = 11)
     m <- sapply(1:length(weights), function(j) m[j, ] <- (1 -
     x) * (weights[j]/(1 - weights[i])))
     m <- t(m)
     m[i, ] <- x
     M <- data.frame(MAVF_Scores(SAVF_matrix, m, names))
     names(M) <- c("Names", x)
     `%>%` <- dplyr::`%>%`
     M %>% tidyr::gather(Weight, Value, -c(1)) %>% ggplot2::ggplot(ggplot2::aes(x = as.numeric(Weight),
     y = Value, group = Names, colour = Names)) + ggplot2::geom_line() +
     ggplot2::geom_vline(xintercept = weights[i]) + ggplot2::ylab("MAVF Score") +
     ggplot2::xlab("Weight") + if (title == TRUE) {
     ggplot2::labs(title = colnames(SAVF_matrix)[criteria])
     }
     }
     <bytecode: 0x40cecd8>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function sensitivity_plot in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     sensitivity_plot(SAVF_matrix, weights = SAVF_matrix, names, 4)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: sensitivity_plot(SAVF_matrix, weights = SAVF_matrix, names, 4)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_sensitivity_plot.R#22: expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_sensitivity_plot.R#18: test_that("sensitivity_plot provides proper messages and warnings",
     {
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     4))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(sensitivity_plot(SAVF_matrix, weights2,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.155, 0.175, 0.228, 0.15), names,
     4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     "4"))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     9))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names, criteria, title = TRUE)
     {
     Names <- dplyr::quo(Names)
     Weight <- dplyr::quo(Weight)
     Value <- dplyr::quo(Value)
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     if ((class(criteria) != "numeric") | (criteria > nrow(SAVF_matrix))) {
     stop("criteria must be a column number of the SAVF_Matrix")
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     i <- criteria
     x <- seq(0, 1, by = 0.1)
     m <- matrix(NA, nrow = length(weights), ncol = 11)
     m <- sapply(1:length(weights), function(j) m[j, ] <- (1 -
     x) * (weights[j]/(1 - weights[i])))
     m <- t(m)
     m[i, ] <- x
     M <- data.frame(MAVF_Scores(SAVF_matrix, m, names))
     names(M) <- c("Names", x)
     `%>%` <- dplyr::`%>%`
     M %>% tidyr::gather(Weight, Value, -c(1)) %>% ggplot2::ggplot(ggplot2::aes(x = as.numeric(Weight),
     y = Value, group = Names, colour = Names)) + ggplot2::geom_line() +
     ggplot2::geom_vline(xintercept = weights[i]) + ggplot2::ylab("MAVF Score") +
     ggplot2::xlab("Weight") + if (title == TRUE) {
     ggplot2::labs(title = colnames(SAVF_matrix)[criteria])
     }
     }
     <bytecode: 0x40cecd8>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function sensitivity_plot in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     sensitivity_plot(SAVF_matrix[, 1:6], weights, names, 4)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: sensitivity_plot(SAVF_matrix[, 1:6], weights, names, 4)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_sensitivity_plot.R#23: expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights, names,
     4))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_sensitivity_plot.R#18: test_that("sensitivity_plot provides proper messages and warnings",
     {
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     4))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(sensitivity_plot(SAVF_matrix, weights2,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.155, 0.175, 0.228, 0.15), names,
     4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     "4"))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     9))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names, criteria, title = TRUE)
     {
     Names <- dplyr::quo(Names)
     Weight <- dplyr::quo(Weight)
     Value <- dplyr::quo(Value)
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     if ((class(criteria) != "numeric") | (criteria > nrow(SAVF_matrix))) {
     stop("criteria must be a column number of the SAVF_Matrix")
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     i <- criteria
     x <- seq(0, 1, by = 0.1)
     m <- matrix(NA, nrow = length(weights), ncol = 11)
     m <- sapply(1:length(weights), function(j) m[j, ] <- (1 -
     x) * (weights[j]/(1 - weights[i])))
     m <- t(m)
     m[i, ] <- x
     M <- data.frame(MAVF_Scores(SAVF_matrix, m, names))
     names(M) <- c("Names", x)
     `%>%` <- dplyr::`%>%`
     M %>% tidyr::gather(Weight, Value, -c(1)) %>% ggplot2::ggplot(ggplot2::aes(x = as.numeric(Weight),
     y = Value, group = Names, colour = Names)) + ggplot2::geom_line() +
     ggplot2::geom_vline(xintercept = weights[i]) + ggplot2::ylab("MAVF Score") +
     ggplot2::xlab("Weight") + if (title == TRUE) {
     ggplot2::labs(title = colnames(SAVF_matrix)[criteria])
     }
     }
     <bytecode: 0x40cecd8>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function sensitivity_plot in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"), 4)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy", "Blaine Gabbert",
     "Christian Ponder"), 4)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers({
     code
     NULL
     }, error = function(cnd) {
     if (can_entrace(cnd)) {
     cnd <- cnd_entrace(cnd)
     }
     return_from(env, cnd)
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
     where 6 at testthat/test_sensitivity_plot.R#24: expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_sensitivity_plot.R#18: test_that("sensitivity_plot provides proper messages and warnings",
     {
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     4))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(sensitivity_plot(SAVF_matrix, weights2,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.155, 0.175, 0.228, 0.15), names,
     4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     "4"))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     9))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names, criteria, title = TRUE)
     {
     Names <- dplyr::quo(Names)
     Weight <- dplyr::quo(Weight)
     Value <- dplyr::quo(Value)
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     if ((class(criteria) != "numeric") | (criteria > nrow(SAVF_matrix))) {
     stop("criteria must be a column number of the SAVF_Matrix")
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     i <- criteria
     x <- seq(0, 1, by = 0.1)
     m <- matrix(NA, nrow = length(weights), ncol = 11)
     m <- sapply(1:length(weights), function(j) m[j, ] <- (1 -
     x) * (weights[j]/(1 - weights[i])))
     m <- t(m)
     m[i, ] <- x
     M <- data.frame(MAVF_Scores(SAVF_matrix, m, names))
     names(M) <- c("Names", x)
     `%>%` <- dplyr::`%>%`
     M %>% tidyr::gather(Weight, Value, -c(1)) %>% ggplot2::ggplot(ggplot2::aes(x = as.numeric(Weight),
     y = Value, group = Names, colour = Names)) + ggplot2::geom_line() +
     ggplot2::geom_vline(xintercept = weights[i]) + ggplot2::ylab("MAVF Score") +
     ggplot2::xlab("Weight") + if (title == TRUE) {
     ggplot2::labs(title = colnames(SAVF_matrix)[criteria])
     }
     }
     <bytecode: 0x40cecd8>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function sensitivity_plot in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
     :
     --- package (from environment) ---
     DecisionAnalysis
     --- call from context ---
     sensitivity_plot(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names, 4)
     --- call from argument ---
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     --- R stacktrace ---
     where 1: sensitivity_plot(SAVF_matrix, c(0.096, 0.224, 0.092, 0.138, 0.15,
     0.22, 0.05), names, 4)
     where 2: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
     where 3: withCallingHandlers(code, warning = function(condition) {
     out$push(condition)
     maybe_restart("muffleWarning")
     })
     where 4: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)),
     ...)
     where 5: quasi_capture(enquo(object), label, capture_warnings)
     where 6 at testthat/test_sensitivity_plot.R#25: expect_warning(sensitivity_plot(SAVF_matrix, c(0.096, 0.224,
     0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     where 7: eval(code, test_env)
     where 8: eval(code, test_env)
     where 9: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 10: doTryCatch(return(expr), name, parentenv, handler)
     where 11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 12: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 13: doTryCatch(return(expr), name, parentenv, handler)
     where 14: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 15: tryCatchList(expr, classes, parentenv, handlers)
     where 16: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 17: test_code(desc, code, env = parent.frame())
     where 18 at testthat/test_sensitivity_plot.R#18: test_that("sensitivity_plot provides proper messages and warnings",
     {
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     4))
     SAVF_matrix <- as.matrix(SAVF_matrix)
     expect_error(sensitivity_plot(SAVF_matrix, weights2,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights = SAVF_matrix,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix[, 1:6], weights,
     names, 4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, c("Greg McElroy",
     "Blaine Gabbert", "Christian Ponder"), 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.138, 0.15, 0.22, 0.05), names, 4))
     expect_warning(sensitivity_plot(SAVF_matrix, c(0.096,
     0.224, 0.092, 0.155, 0.175, 0.228, 0.15), names,
     4))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     "4"))
     expect_error(sensitivity_plot(SAVF_matrix, weights, names,
     9))
     })
     where 19: eval(code, test_env)
     where 20: eval(code, test_env)
     where 21: withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error)
     where 22: doTryCatch(return(expr), name, parentenv, handler)
     where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     where 24: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     where 25: doTryCatch(return(expr), name, parentenv, handler)
     where 26: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
     names[nh], parentenv, handlers[[nh]])
     where 27: tryCatchList(expr, classes, parentenv, handlers)
     where 28: tryCatch(withCallingHandlers({
     eval(code, test_env)
     if (!handled && !is.null(test)) {
     skip_empty()
     }
     }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
     message = handle_message, error = handle_error), error = handle_fatal,
     skip = function(e) {
     })
     where 29: test_code(NULL, exprs, env)
     where 30: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     where 31: force(code)
     where 32: doWithOneRestart(return(expr), restart)
     where 33: withOneRestart(expr, restarts[[1L]])
     where 34: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 35: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
     {
     reporter$start_file(basename(path))
     lister$start_file(basename(path))
     source_file(path, new.env(parent = env), chdir = TRUE,
     wrap = wrap)
     reporter$.end_context()
     reporter$end_file()
     })
     where 36: FUN(X[[i]], ...)
     where 37: lapply(paths, test_file, env = env, reporter = current_reporter,
     start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     where 38: force(code)
     where 39: doWithOneRestart(return(expr), restart)
     where 40: withOneRestart(expr, restarts[[1L]])
     where 41: withRestarts(testthat_abort_reporter = function() NULL, force(code))
     where 42: with_reporter(reporter = current_reporter, results <- lapply(paths,
     test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
     load_helpers = FALSE, wrap = wrap))
     where 43: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 44: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
     ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
     wrap = wrap)
     where 45: test_package_dir(package = package, test_path = test_path, filter = filter,
     reporter = reporter, ..., stop_on_failure = stop_on_failure,
     stop_on_warning = stop_on_warning, wrap = wrap)
     where 46: test_check("DecisionAnalysis")
    
     --- value of length: 2 type: logical ---
     [1] FALSE TRUE
     --- function from context ---
     function (SAVF_matrix, weights, names, criteria, title = TRUE)
     {
     Names <- dplyr::quo(Names)
     Weight <- dplyr::quo(Weight)
     Value <- dplyr::quo(Value)
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     if ((class(criteria) != "numeric") | (criteria > nrow(SAVF_matrix))) {
     stop("criteria must be a column number of the SAVF_Matrix")
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     i <- criteria
     x <- seq(0, 1, by = 0.1)
     m <- matrix(NA, nrow = length(weights), ncol = 11)
     m <- sapply(1:length(weights), function(j) m[j, ] <- (1 -
     x) * (weights[j]/(1 - weights[i])))
     m <- t(m)
     m[i, ] <- x
     M <- data.frame(MAVF_Scores(SAVF_matrix, m, names))
     names(M) <- c("Names", x)
     `%>%` <- dplyr::`%>%`
     M %>% tidyr::gather(Weight, Value, -c(1)) %>% ggplot2::ggplot(ggplot2::aes(x = as.numeric(Weight),
     y = Value, group = Names, colour = Names)) + ggplot2::geom_line() +
     ggplot2::geom_vline(xintercept = weights[i]) + ggplot2::ylab("MAVF Score") +
     ggplot2::xlab("Weight") + if (title == TRUE) {
     ggplot2::labs(title = colnames(SAVF_matrix)[criteria])
     }
     }
     <bytecode: 0x40cecd8>
     <environment: namespace:DecisionAnalysis>
     --- function search by body ---
     Function sensitivity_plot in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
     -- 5. Error: sensitivity_plot provides proper messages and warnings (@test_sensi
     the condition has length > 1
     Backtrace:
     1. testthat::expect_warning(...)
     6. DecisionAnalysis::sensitivity_plot(...)
    
     == testthat results ===========================================================
     [ OK: 63 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 5 ]
     1. Error: MAVF_breakout provides proper messages and warnings (@test_MAVF_breakout.R#25)
     2. Error: MAVF_scores provides proper messages and warnings (@test_MAVF_scores.R#25)
     3. Error: MAVF_scores has correct dimensions and output type (@test_MAVF_scores.R#33)
     4. Error: MAVF_Scores computes correctly (@test_MAVF_scores.R#50)
     5. Error: sensitivity_plot provides proper messages and warnings (@test_sensitivity_plot.R#25)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building 'MultiObjectiveDecisionAnalysisinR.Rmd' using rmarkdown
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    
    Attaching package: 'gridExtra'
    
    The following object is masked from 'package:dplyr':
    
     combine
    
     ----------- FAILURE REPORT --------------
     --- failure: the condition has length > 1 ---
     --- srcref ---
    :
     --- package (from environment) ---
    DecisionAnalysis
     --- call from context ---
    DecisionAnalysis::MAVF_Scores(SAVF_matrix, weights, names)
     --- call from argument ---
    if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
    }
     --- R stacktrace ---
    where 1: DecisionAnalysis::MAVF_Scores(SAVF_matrix, weights, names)
    where 2: eval(expr, envir, enclos)
    where 3: eval(expr, envir, enclos)
    where 4: withVisible(eval(expr, envir, enclos))
    where 5: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,
     error = eHandler, message = mHandler)
    where 6: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,
     enclos)), warning = wHandler, error = eHandler, message = mHandler))
    where 7: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,
     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
    where 8: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos,
     debug = debug, last = i == length(out), use_try = stop_on_error !=
     2L, keep_warning = keep_warning, keep_message = keep_message,
     output_handler = output_handler, include_timing = include_timing)
    where 9: evaluate::evaluate(...)
    where 10: evaluate(code, envir = env, new_device = FALSE, keep_warning = !isFALSE(options$warning),
     keep_message = !isFALSE(options$message), stop_on_error = if (options$error &&
     options$include) 0L else 2L, output_handler = knit_handlers(options$render,
     options))
    where 11: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE,
     keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message),
     stop_on_error = if (options$error && options$include) 0L else 2L,
     output_handler = knit_handlers(options$render, options)))
    where 12: block_exec(params)
    where 13: call_block(x)
    where 14: process_group.block(group)
    where 15: process_group(group)
    where 16: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),
     error = function(e) {
     setwd(wd)
     cat(res, sep = "\n", file = output %n% "")
     message("Quitting from lines ", paste(current_lines(i),
     collapse = "-"), " (", knit_concord$get("infile"),
     ") ")
     })
    where 17: process_file(text, output)
    where 18: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet,
     encoding = encoding)
    where 19: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),
     ...)
    where 20: vweave_rmarkdown(...)
    where 21: engine$weave(file, quiet = quiet, encoding = enc)
    where 22: doTryCatch(return(expr), name, parentenv, handler)
    where 23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
    where 24: tryCatchList(expr, classes, parentenv, handlers)
    where 25: tryCatch({
     engine$weave(file, quiet = quiet, encoding = enc)
     setwd(startdir)
     output <- find_vignette_product(name, by = "weave", engine = engine)
     if (!have.makefile && vignette_is_tex(output)) {
     texi2pdf(file = output, clean = FALSE, quiet = quiet)
     output <- find_vignette_product(name, by = "texi2pdf",
     engine = engine)
     }
     outputs <- c(outputs, output)
    }, error = function(e) {
     thisOK <<- FALSE
     fails <<- c(fails, file)
     message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",
     file, conditionMessage(e)))
    })
    where 26: tools:::buildVignettes(dir = "/home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/DecisionAnalysis.Rcheck/vign_test/DecisionAnalysis",
     ser_elibs = "/tmp/RtmpZbkzd1/file4132239735d1.rds")
    
     --- value of length: 2 type: logical ---
    [1] FALSE TRUE
     --- function from context ---
    function (SAVF_matrix, weights, names)
    {
     if (class(SAVF_matrix) != "matrix") {
     stop("SAVF_matrix must be a matrix\n", "You have provided an object of the following class:\n",
     "SAVF_matrix: ", class(SAVF_matrix), "\n")
     }
     if (class(weights) != "matrix") {
     if (class(weights) != "numeric") {
     stop("weights must be of class numeric\n", "You have provided an object of the following class:\n",
     "weights: ", class(weights))
     }
     if (sum(weights) < 1) {
     warning("The sum of weights is less than 1")
     }
     if (sum(weights) > 1) {
     warning("The sum of weights is greater than 1")
     }
     if (ncol(SAVF_matrix) != length(weights)) {
     stop("The number of columns in the SAVF matrix must equal the length of the vector of weights")
     }
     if (nrow(SAVF_matrix) != length(names)) {
     stop("The number of rows in the SAVF matrix must equal the length of the vector of names")
     }
     }
     SAVF_matrix[is.na(SAVF_matrix)] <- 0
     MAVF = SAVF_matrix %*% weights
     value <- data.frame(names, MAVF)
     names(value) <- c("Name", "Score")
     value <- value[order(value$Score, decreasing = TRUE), ]
     return(value)
    }
    <bytecode: 0x94b2a30>
    <environment: namespace:DecisionAnalysis>
     --- function search by body ---
    Function MAVF_Scores in namespace DecisionAnalysis has this body.
     ----------- END OF FAILURE REPORT --------------
    Quitting from lines 188-203 (MultiObjectiveDecisionAnalysisinR.Rmd)
    Error: processing vignette 'MultiObjectiveDecisionAnalysisinR.Rmd' failed with diagnostics:
    the condition has length > 1
    --- failed re-building 'MultiObjectiveDecisionAnalysisinR.Rmd'
    
    SUMMARY: processing the following file failed:
     'MultiObjectiveDecisionAnalysisinR.Rmd'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.0
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘DiagrammeR’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 1.0.0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘MultiObjectiveDecisionAnalysisinR.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    
    Attaching package: 'gridExtra'
    
    The following object is masked from 'package:dplyr':
    
     combine
    
    Quitting from lines 84-97 (MultiObjectiveDecisionAnalysisinR.Rmd)
    Error: processing vignette 'MultiObjectiveDecisionAnalysisinR.Rmd' failed with diagnostics:
    there is no package called 'webshot'
    --- failed re-building ‘MultiObjectiveDecisionAnalysisinR.Rmd’
    
    SUMMARY: processing the following file failed:
     ‘MultiObjectiveDecisionAnalysisinR.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-patched-solaris-x86

Version: 1.0.0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘MultiObjectiveDecisionAnalysisinR.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    
    Attaching package: 'gridExtra'
    
    The following object is masked from 'package:dplyr':
    
     combine
    
    Quitting from lines 84-97 (MultiObjectiveDecisionAnalysisinR.Rmd)
    Error: processing vignette 'MultiObjectiveDecisionAnalysisinR.Rmd' failed with diagnostics:
    cannot open the connection
    --- failed re-building ‘MultiObjectiveDecisionAnalysisinR.Rmd’
    
    SUMMARY: processing the following file failed:
     ‘MultiObjectiveDecisionAnalysisinR.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-release-osx-x86_64

Version: 1.0.0
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    
    Attaching package: 'gridExtra'
    
    The following object is masked from 'package:dplyr':
    
     combine
    
    Quitting from lines 84-97 (MultiObjectiveDecisionAnalysisinR.Rmd)
    Error: processing vignette 'MultiObjectiveDecisionAnalysisinR.Rmd' failed with diagnostics:
    cannot open the connection
    Execution halted
Flavor: r-oldrel-osx-x86_64