Running 'testthat.R' [18s/19s]
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: 0x3908d78>
  <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: 0x3bac308>
  <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: 0x391c080>
  <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: 0x39179b8>
  <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: 0x3bad9a0>
  <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: 0x3a51b70>
  <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: 0x3a61308>
  <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: 0x3a6f030>
  <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: 0x3a6f030>
  <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: 0x3b49758>
  <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: 0x3b86640>
  <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: 0x3a399e0>
  <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: 0x3a25878>
  <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: 0x3ad9120>
  <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: 0x3a52520>
  <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