Last updated on 2019-12-21 10:48:05 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.2 | 5.27 | 50.05 | 55.32 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.2 | 4.21 | 36.63 | 40.84 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.2 | 66.10 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.2 | 61.64 | OK | |||
| r-devel-windows-ix86+x86_64 | 0.1.2 | 15.00 | 64.00 | 79.00 | OK | |
| r-devel-windows-ix86+x86_64-gcc8 | 0.1.2 | 15.00 | 63.00 | 78.00 | OK | |
| r-patched-linux-x86_64 | 0.1.2 | OK | ||||
| r-patched-solaris-x86 | 0.1.2 | 74.40 | OK | |||
| r-release-linux-x86_64 | 0.1.2 | 4.35 | 43.88 | 48.23 | OK | |
| r-release-windows-ix86+x86_64 | 0.1.2 | 13.00 | 74.00 | 87.00 | OK | |
| r-release-osx-x86_64 | 0.1.2 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.1.2 | 8.00 | 73.00 | 81.00 | OK | |
| r-oldrel-osx-x86_64 | 0.1.2 | OK |
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in 'whiboclustering-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plot.whibo_cluster
> ### Title: Plot WhiBo Cluster Representatives
> ### Aliases: plot.whibo_cluster
>
> ### ** Examples
>
> data <- iris[, 1:4] #Numerical data only
>
> model <- whibo_clustering(data = data, k = 3)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_initialize(data = data, k = k, initialization_type = cluster_initialization_type)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1: wc_initialize(data = data, k = k, initialization_type = cluster_initialization_type)
where 2: whibo_clustering(data = data, k = 3)
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, k = 3, initialization_type)
{
if (!(tolower(initialization_type) %in% tolower(wc_init_types$Type))) {
stop("Please enter initialization function that is available in wc_init_types data frame")
}
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (!is.numeric(k)) {
stop("k should be numeric")
}
centroids <- eval(call(name = as.character(wc_init_types$Method[tolower(wc_init_types$Type) ==
tolower(initialization_type)]), data, k))
return(centroids)
}
<bytecode: 0x182c2b8>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_initialize in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
Error in if (!(class(data) %in% c("data.frame", "matrix"))) { :
the condition has length > 1
Calls: whibo_clustering -> wc_initialize
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.2
Check: tests
Result: ERROR
Running 'testthat.R' [18s/20s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(whiboclustering)
Loading required package: clusterCrit
Loading required package: cluster
>
> test_check("whiboclustering")
-- 1. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 2. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 3. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 4. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 5. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 6. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 7. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 8. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 9. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
-- 10. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
-- 11. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
-- 12. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
-- 13. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_no(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#69: wc_norm_no(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#66: test_that("No normalization and original data should be the same",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_no(data)$data
expect_true(sum(data != norm_data) == 0)
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
norm_data <- as.matrix(data)
output <- list(data = norm_data, model = NULL)
return(output)
}
<bytecode: 0x3cf56b0>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_no in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 14. Error: No normalization and original data should be the same (@test-wc-no
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_no(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_z(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#77: wc_norm_z(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#74: test_that("Z transformation should result in zero mean and one standard deviation",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_z(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(mean(x) > -1e-07 || mean(x) < 1e-07)
})
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(sd(x) > 0.9999999 || mean(x) < 1.0000001)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
norm_data <- scale(x = data, center = TRUE, scale = TRUE)
output <- list(data = norm_data, model = list(center = attr(x = norm_data,
which = "scaled:center"), scale = attr(x = norm_data,
which = "scaled:scale")))
}
else {
norm_data <- scale(x = data, center = model$center, scale = model$scale)
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3f8f168>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_z in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 15. Error: Z transformation should result in zero mean and one standard devia
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_z(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_l2(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#87: wc_norm_l2(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#84: test_that("L2 normalization should sum to one if elements are squared",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_l2(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(sum(x^2) > 0.9999999 || sum(x^2) < 1.00000001)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
model <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
model <<- append(model, sqrt(sum(x^2, na.rm = TRUE)))
x/sqrt(sum(x^2, na.rm = TRUE))
})
}
else {
norm_data <- sweep(x = data, MARGIN = 2, STATS = model,
FUN = "/")
}
output <- list(data = norm_data, model = model)
return(output)
}
<bytecode: 0x3d04e28>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_l2 in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 16. Error: L2 normalization should sum to one if elements are squared (@test-
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_l2(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_l1(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#96: wc_norm_l1(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#93: test_that("L1 normalization should sum to one", {
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_l1(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(sum(x) > 0.9999999 || sum(x) < 1.00000001)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
model <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
model <<- append(model, sum(x, na.rm = TRUE))
x/sum(x, na.rm = TRUE)
})
}
else {
norm_data <- sweep(x = data, MARGIN = 2, STATS = model,
FUN = "/")
}
output <- list(data = norm_data, model = model)
return(output)
}
<bytecode: 0x3d004c0>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_l1 in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 17. Error: L1 normalization should sum to one (@test-wc-normalization.R#96)
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_l1(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_linf(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#105: wc_norm_linf(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#102: test_that("Linf normalization should have max equal to 1", {
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_linf(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(max(x) == 1)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
model <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
model <<- append(model, max(x, na.rm = TRUE))
x/max(x, na.rm = TRUE)
})
}
else {
norm_data <- sweep(x = data, MARGIN = 2, STATS = model,
FUN = "/")
}
output <- list(data = norm_data, model = model)
return(output)
}
<bytecode: 0x3f94988>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_linf in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 18. Error: Linf normalization should have max equal to 1 (@test-wc-normalizat
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_linf(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_max_min(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#113: wc_norm_max_min(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#110: test_that("Max-Min normalization should result in min = 0 and max = 1",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_max_min(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(min(x) == 0)
})
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(max(x) == 1)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
mins <- c()
diffs <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
mins <<- append(mins, min(x, na.rm = TRUE))
diffs <<- append(diffs, diff(range(x, na.rm = TRUE)))
(x - min(x, na.rm = TRUE))/diff(range(x, na.rm = TRUE))
})
output <- list(data = norm_data, model = list(mins = mins,
diffs = diffs))
}
else {
norm_data <- sweep(x = sweep(x = data, MARGIN = 2, STATS = model$mins,
FUN = "-"), MARGIN = 2, STATS = model$diffs, FUN = "/")
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3e3a8d8>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_max_min in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 19. Error: Max-Min normalization should result in min = 0 and max = 1 (@test-
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_max_min(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_mean(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#122: wc_norm_mean(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#119: test_that("Mean normalization should result in mean = 0", {
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_mean(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(mean(x) > -1e-07 || mean(x) < 1e-07)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$start_file(basename(path))
lister$start_file(basename(path))
source_file(path, new.env(parent = env), chdir = TRUE,
wrap = wrap)
reporter$.end_context()
reporter$end_file()
})
where 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: with_reporter(reporter = current_reporter, results <- lapply(paths,
test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
load_helpers = FALSE, wrap = wrap))
where 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
wrap = wrap)
where 40: test_package_dir(package = package, test_path = test_path, filter = filter,
reporter = reporter, ..., stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
means <- c()
diffs <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
means <<- append(means, mean(x, na.rm = TRUE))
diffs <<- append(diffs, diff(range(x, na.rm = TRUE)))
(x - mean(x, na.rm = TRUE))/diff(range(x, na.rm = TRUE))
})
output <- list(data = norm_data, model = list(means = means,
diffs = diffs))
}
else {
norm_data <- sweep(x = sweep(x = data, MARGIN = 2, STATS = model$means,
FUN = "-"), MARGIN = 2, STATS = model$diffs, FUN = "/")
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3e4a070>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_mean in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 20. Error: Mean normalization should result in mean = 0 (@test-wc-normalizati
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_mean(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_log(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#130: wc_norm_log(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#127: test_that("Log transformation result in same mean for every column",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_log(data)$data
expect_true(sd(apply(X = norm_data, MARGIN = 2, function(x) {
mean(x)
})) < 1e-07)
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (sum(data < 0) > 0) {
stop("Negative values present")
}
if (is.null(model)) {
model <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
model <<- append(model, log(x = prod(x, na.rm = TRUE)))
log(x = x)/log(x = prod(x, na.rm = TRUE))
})
}
else {
norm_data <- sweep(x = log(data), MARGIN = 2, STATS = model,
FUN = "/")
}
output <- list(data = norm_data, model = model)
return(output)
}
<bytecode: 0x3e57d98>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_log in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 21. Error: Log transformation result in same mean for every column (@test-wc-
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_log(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_log(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1: wc_norm_log(data)
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-wc-normalization.R#141: expect_error(wc_norm_log(data))
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-wc-normalization.R#136: test_that("Log transformation will fail is negative value is present",
{
data <- as.matrix(iris[, 1:4])
data[1, 1] <- -1
expect_error(wc_norm_log(data))
})
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("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (sum(data < 0) > 0) {
stop("Negative values present")
}
if (is.null(model)) {
model <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
model <<- append(model, log(x = prod(x, na.rm = TRUE)))
log(x = x)/log(x = prod(x, na.rm = TRUE))
})
}
else {
norm_data <- sweep(x = log(data), MARGIN = 2, STATS = model,
FUN = "/")
}
output <- list(data = norm_data, model = model)
return(output)
}
<bytecode: 0x3e57d98>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_log in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_non_monotonic(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#147: wc_norm_non_monotonic(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#144: test_that("Non-monotic normalization will create max = 1", {
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_non_monotonic(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(max(x) == 1)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
maxs <- c()
vars <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
maxs <<- append(maxs, max(x, na.rm = TRUE))
vars <<- append(vars, stats::var(x, na.rm = TRUE))
exp(-(x - max(x, na.rm = TRUE))^2/stats::var(x, na.rm = TRUE))
})
output <- list(data = norm_data, model = list(maxs = maxs,
vars = vars))
}
else {
norm_data <- exp(-sweep(x = sweep(x = data, MARGIN = 2,
STATS = model$maxs, FUN = "-")^2, MARGIN = 2, STATS = model$vars,
FUN = "/"))
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3f41890>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_non_monotonic in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 22. Error: Non-monotic normalization will create max = 1 (@test-wc-normalizat
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_non_monotonic(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_comprehensive(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#155: wc_norm_comprehensive(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#152: test_that("Comprehensive will make min = 0", {
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_comprehensive(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(min(x) == 0)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$start_file(basename(path))
lister$start_file(basename(path))
source_file(path, new.env(parent = env), chdir = TRUE,
wrap = wrap)
reporter$.end_context()
reporter$end_file()
})
where 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: with_reporter(reporter = current_reporter, results <- lapply(paths,
test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
load_helpers = FALSE, wrap = wrap))
where 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
wrap = wrap)
where 40: test_package_dir(package = package, test_path = test_path, filter = filter,
reporter = reporter, ..., stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
mins <- c()
maxs <- c()
norm_data <- apply(X = data, MARGIN = 2, FUN = function(x) {
mins <<- append(mins, min(x, na.rm = TRUE))
maxs <<- append(maxs, max(x, na.rm = TRUE))
1 - exp(abs(x - min(x, na.rm = TRUE))/(min(x, na.rm = TRUE) -
max(x, na.rm = TRUE)))
})
output <- list(data = norm_data, model = list(mins = mins,
maxs = maxs))
}
else {
norm_data <- 1 - exp(sweep(x = abs(sweep(x = data, MARGIN = 2,
STATS = model$mins, FUN = "-")), MARGIN = 2, STATS = model$mins -
model$maxs, FUN = "/"))
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3f6f498>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_comprehensive in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 23. Error: Comprehensive will make min = 0 (@test-wc-normalization.R#155) --
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_comprehensive(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_decimal_scaling(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#163: wc_norm_decimal_scaling(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#160: test_that("Decimal Scaling will be greater or equal than 0",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_decimal_scaling(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(min(x) > 0)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
norm_data <- scale(x = data, center = FALSE, scale = 10^(ceiling(log10(apply(X = abs(data),
MARGIN = 2, FUN = max)))))
output <- list(data = norm_data, model = attr(x = norm_data,
which = "scaled:scale"))
}
else {
norm_data <- scale(x = data, center = FALSE, scale = model)
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3e22748>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_decimal_scaling in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 24. Error: Decimal Scaling will be greater or equal than 0 (@test-wc-normaliz
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_decimal_scaling(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_sigmoid(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#171: wc_norm_sigmoid(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#168: test_that("Sigmoid normalization will always be between -1 and 1",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_sigmoid(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(min(x) > -1)
})
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(max(x) < 1)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: 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 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: 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 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: 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 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: 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 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: 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 40: 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 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
norm_data <- (1 - exp(-scale(x = data, center = TRUE,
scale = TRUE)))/(1 + exp(-scale(x = data, center = TRUE,
scale = TRUE)))
output <- list(data = norm_data, model = list(center = attr(x = norm_data,
which = "scaled:center"), scale = attr(x = norm_data,
which = "scaled:scale")))
}
else {
norm_data <- (1 - exp(-scale(x = data, center = model$center,
scale = model$scale)))/(1 + exp(-scale(x = data,
center = model$center, scale = model$scale)))
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3e0e5e0>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_sigmoid in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 25. Error: Sigmoid normalization will always be between -1 and 1 (@test-wc-no
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_sigmoid(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_norm_softmax(data)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1 at testthat/test-wc-normalization.R#180: wc_norm_softmax(data)
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: 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 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: 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 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-wc-normalization.R#177: test_that("Softmax normalization will always be between 0 and 1",
{
data <- as.matrix(iris[, 1:4])
norm_data <- wc_norm_softmax(data)$data
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(min(x) > 0)
})
apply(X = norm_data, MARGIN = 2, FUN = function(x) {
expect_true(max(x) < 1)
})
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$start_file(basename(path))
lister$start_file(basename(path))
source_file(path, new.env(parent = env), chdir = TRUE,
wrap = wrap)
reporter$.end_context()
reporter$end_file()
})
where 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: with_reporter(reporter = current_reporter, results <- lapply(paths,
test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
load_helpers = FALSE, wrap = wrap))
where 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
wrap = wrap)
where 40: test_package_dir(package = package, test_path = test_path, filter = filter,
reporter = reporter, ..., stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 41: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, model = NULL)
{
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (is.null(model)) {
norm_data <- 1/(1 + exp(-scale(x = data, center = TRUE,
scale = TRUE)))
output <- list(data = norm_data, model = list(center = attr(x = norm_data,
which = "scaled:center"), scale = attr(x = norm_data,
which = "scaled:scale")))
}
else {
norm_data <- 1/(1 + exp(-scale(x = data, center = model$center,
scale = model$scale)))
output <- list(data = norm_data, model = model)
}
return(output)
}
<bytecode: 0x3ec1d10>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_norm_softmax in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 26. Error: Softmax normalization will always be between 0 and 1 (@test-wc-nor
the condition has length > 1
Backtrace:
1. whiboclustering:::wc_norm_softmax(data)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
whiboclustering
--- call from context ---
wc_initialize(data = data, k = k, initialization_type = cluster_initialization_type)
--- call from argument ---
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
--- R stacktrace ---
where 1: wc_initialize(data = data, k = k, initialization_type = cluster_initialization_type)
where 2 at testthat/test-whibo-clustering.R#9: whibo_clustering(data = data, k = k)
where 3: eval(code, test_env)
where 4: eval(code, test_env)
where 5: 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 6: doTryCatch(return(expr), name, parentenv, handler)
where 7: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 8: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 9: doTryCatch(return(expr), name, parentenv, handler)
where 10: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 11: tryCatchList(expr, classes, parentenv, handlers)
where 12: 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 13: test_code(desc, code, env = parent.frame())
where 14 at testthat/test-whibo-clustering.R#4: test_that("WhiBo Cluster Design", {
data <- iris[, 1:4]
k <- 3
model <- whibo_clustering(data = data, k = k)
expect_equal(nrow(model$centroids), k)
expect_equal(length(model$assignments), nrow(data))
})
where 15: eval(code, test_env)
where 16: eval(code, test_env)
where 17: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 18: doTryCatch(return(expr), name, parentenv, handler)
where 19: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 20: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 21: doTryCatch(return(expr), name, parentenv, handler)
where 22: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 23: tryCatchList(expr, classes, parentenv, handlers)
where 24: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 25: test_code(NULL, exprs, env)
where 26: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 27: force(code)
where 28: doWithOneRestart(return(expr), restart)
where 29: withOneRestart(expr, restarts[[1L]])
where 30: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 31: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$start_file(basename(path))
lister$start_file(basename(path))
source_file(path, new.env(parent = env), chdir = TRUE,
wrap = wrap)
reporter$.end_context()
reporter$end_file()
})
where 32: FUN(X[[i]], ...)
where 33: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 34: force(code)
where 35: doWithOneRestart(return(expr), restart)
where 36: withOneRestart(expr, restarts[[1L]])
where 37: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 38: with_reporter(reporter = current_reporter, results <- lapply(paths,
test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
load_helpers = FALSE, wrap = wrap))
where 39: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 40: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
wrap = wrap)
where 41: test_package_dir(package = package, test_path = test_path, filter = filter,
reporter = reporter, ..., stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 42: test_check("whiboclustering")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (data, k = 3, initialization_type)
{
if (!(tolower(initialization_type) %in% tolower(wc_init_types$Type))) {
stop("Please enter initialization function that is available in wc_init_types data frame")
}
if (!(class(data) %in% c("data.frame", "matrix"))) {
stop("Data should be data.frame or matrix")
}
if (!is.numeric(k)) {
stop("k should be numeric")
}
centroids <- eval(call(name = as.character(wc_init_types$Method[tolower(wc_init_types$Type) ==
tolower(initialization_type)]), data, k))
return(centroids)
}
<bytecode: 0x3e3ff38>
<environment: namespace:whiboclustering>
--- function search by body ---
Function wc_initialize in namespace whiboclustering has this body.
----------- END OF FAILURE REPORT --------------
-- 27. Error: WhiBo Cluster Design (@test-whibo-clustering.R#9) ---------------
the condition has length > 1
Backtrace:
1. whiboclustering::whibo_clustering(data = data, k = k)
2. whiboclustering:::wc_initialize(data = data, k = k, initialization_type = cluster_initialization_type)
== testthat results ===========================================================
[ OK: 626 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 27 ]
1. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
2. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
3. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
4. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
5. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
6. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
7. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
8. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
9. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
1. ...
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.2
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/16s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(whiboclustering)
Loading required package: clusterCrit
Loading required package: cluster
>
> test_check("whiboclustering")
── 1. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 2. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 3. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 4. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 5. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 6. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 7. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 8. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 9. Failure: Result of normalization is data.frame or data.matrix (@test-wc-no
class(norm_data$data) == "matrix" isn't true.
── 10. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
── 11. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
── 12. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
── 13. Failure: Result of normalization is data.frame or data.matrix (@test-wc-n
class(norm_data$data) == "matrix" isn't true.
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 690 | SKIPPED: 0 | WARNINGS: 50 | FAILED: 13 ]
1. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
2. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
3. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
4. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
5. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
6. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
7. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
8. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
9. Failure: Result of normalization is data.frame or data.matrix (@test-wc-normalization.R#28)
1. ...
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc