CRAN Package Check Results for Package zFactor

Last updated on 2019-03-01 08:49:52 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.7 4.72 117.31 122.03 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.7 3.48 92.10 95.58 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.7 175.47 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.7 153.49 ERROR
r-devel-windows-ix86+x86_64 0.1.7 8.00 145.00 153.00 ERROR
r-patched-linux-x86_64 0.1.7 ERROR
r-patched-solaris-x86 0.1.7 262.90 ERROR
r-release-linux-x86_64 0.1.7 4.19 126.25 130.44 ERROR
r-release-windows-ix86+x86_64 0.1.7 11.00 168.00 179.00 ERROR
r-release-osx-x86_64 0.1.7 NOTE
r-oldrel-windows-ix86+x86_64 0.1.7 11.00 207.00 218.00 ERROR
r-oldrel-osx-x86_64 0.1.7 NOTE

Check Details

Version: 0.1.7
Check: examples
Result: ERROR
    Running examples in ‘zFactor-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: z.plot.range
    > ### Title: Tile plot of best fit area for a correlation
    > ### Aliases: z.plot.range
    >
    > ### ** Examples
    >
    > # plot Dranchuk-AbouKassem
    > z.plot.range("DAK")
    Error in n() : could not find function "n"
    Calls: z.plot.range ... z.stats -> summarise -> summarise.tbl_df -> summarise_impl
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running ‘testthat.R’ [3s/4s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     ── 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ─────────
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.7
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘Ann10.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Ann10.Rmd’
    
    --- re-building ‘Beggs-Brill.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Beggs-Brill.Rmd’
    
    --- re-building ‘Dranchuk-AbouKassem.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-AbouKassem.Rmd’
    
    --- re-building ‘Dranchuk-Purvis-Robinson.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-Purvis-Robinson.Rmd’
    
    --- re-building ‘Hall-Yarborough.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Hall-Yarborough.Rmd’
    
    --- re-building ‘Papp.Rmd’ using rmarkdown
    No results.
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Papp.Rmd’
    
    --- re-building ‘Plot_StandingKatz_lp.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    --- finished re-building ‘Plot_StandingKatz_lp.Rmd’
    
    --- re-building ‘Shell.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Shell.Rmd’
    
    --- re-building ‘StandingKatz_chart.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    --- finished re-building ‘StandingKatz_chart.Rmd’
    
    --- re-building ‘correlation_selection.Rmd’ using rmarkdown
    Quitting from lines 17-21 (correlation_selection.Rmd)
    Error: processing vignette 'correlation_selection.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘correlation_selection.Rmd’
    
    --- re-building ‘statistics.Rmd’ using rmarkdown
    Quitting from lines 15-20 (statistics.Rmd)
    Error: processing vignette 'statistics.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘statistics.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘correlation_selection.Rmd’ ‘statistics.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.1.7
Check: tests
Result: ERROR
     Running ‘testthat.R’ [2s/3s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     ── 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ─────────
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.7
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘rootSolve’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 0.1.7
Check: examples
Result: ERROR
    Running examples in ‘zFactor-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: z.plot.range
    > ### Title: Tile plot of best fit area for a correlation
    > ### Aliases: z.plot.range
    >
    > ### ** Examples
    >
    > # plot Dranchuk-AbouKassem
    > z.plot.range("DAK")
    Error in n() : could not find function "n"
    Calls: z.plot.range ... z.stats -> summarise -> summarise.tbl_df -> summarise_impl
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-windows-ix86+x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running ‘testthat.R’
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     ── 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ─────────
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86

Version: 0.1.7
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘Ann10.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Ann10.Rmd’
    
    --- re-building ‘Beggs-Brill.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Beggs-Brill.Rmd’
    
    --- re-building ‘Dranchuk-AbouKassem.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-AbouKassem.Rmd’
    
    --- re-building ‘Dranchuk-Purvis-Robinson.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-Purvis-Robinson.Rmd’
    
    --- re-building ‘Hall-Yarborough.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Hall-Yarborough.Rmd’
    
    --- re-building ‘Papp.Rmd’ using rmarkdown
    No results.
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Papp.Rmd’
    
    --- re-building ‘Plot_StandingKatz_lp.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    --- finished re-building ‘Plot_StandingKatz_lp.Rmd’
    
    --- re-building ‘Shell.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Shell.Rmd’
    
    --- re-building ‘StandingKatz_chart.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead.
    OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
    --- finished re-building ‘StandingKatz_chart.Rmd’
    
    --- re-building ‘correlation_selection.Rmd’ using rmarkdown
    Quitting from lines 17-21 (correlation_selection.Rmd)
    Error: processing vignette 'correlation_selection.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘correlation_selection.Rmd’
    
    --- re-building ‘statistics.Rmd’ using rmarkdown
    Quitting from lines 15-20 (statistics.Rmd)
    Error: processing vignette 'statistics.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘statistics.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘correlation_selection.Rmd’ ‘statistics.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.7
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘Ann10.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Ann10.Rmd’
    
    --- re-building ‘Beggs-Brill.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Beggs-Brill.Rmd’
    
    --- re-building ‘Dranchuk-AbouKassem.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-AbouKassem.Rmd’
    
    --- re-building ‘Dranchuk-Purvis-Robinson.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Dranchuk-Purvis-Robinson.Rmd’
    
    --- re-building ‘Hall-Yarborough.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Hall-Yarborough.Rmd’
    
    --- re-building ‘Papp.Rmd’ using rmarkdown
    No results.
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Papp.Rmd’
    
    --- re-building ‘Plot_StandingKatz_lp.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    --- finished re-building ‘Plot_StandingKatz_lp.Rmd’
    
    --- re-building ‘Shell.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building ‘Shell.Rmd’
    
    --- re-building ‘StandingKatz_chart.Rmd’ using rmarkdown
    Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
    This warning is displayed once per session.
    --- finished re-building ‘StandingKatz_chart.Rmd’
    
    --- re-building ‘correlation_selection.Rmd’ using rmarkdown
    Quitting from lines 17-21 (correlation_selection.Rmd)
    Error: processing vignette 'correlation_selection.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘correlation_selection.Rmd’
    
    --- re-building ‘statistics.Rmd’ using rmarkdown
    Quitting from lines 15-20 (statistics.Rmd)
    Error: processing vignette 'statistics.Rmd' failed with diagnostics:
    could not find function "n"
    --- failed re-building ‘statistics.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘correlation_selection.Rmd’ ‘statistics.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running 'testthat.R' [3s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     -- 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ---------
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     == testthat results ===========================================================
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running ‘testthat.R’ [3s/3s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     ── 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     ── 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ─────────
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running 'testthat.R' [2s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     -- 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     could not find function "n"
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ---------
     could not find function "n"
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     == testthat results ===========================================================
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.1.7
Check: examples
Result: ERROR
    Running examples in 'zFactor-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: z.plot.range
    > ### Title: Tile plot of best fit area for a correlation
    > ### Aliases: z.plot.range
    >
    > ### ** Examples
    >
    > # plot Dranchuk-AbouKassem
    > z.plot.range("DAK")
    Error: Evaluation error: could not find function "n".
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 0.1.7
Check: tests
Result: ERROR
     Running 'testthat.R' [5s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(zFactor)
     >
     > test_check("zFactor")
     -- 1. Error: z.stats matches dimension and mean of MAPE. default interval = coar
     Evaluation error: could not find function "n".
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:8
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:8
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_
     Evaluation error: could not find function "n".
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:19
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:19
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats
     Evaluation error: could not find function "n".
     1: sapply(sh_corrs, function(corr) expect_equal(dim(z.stats(corr)), c(112, 11))) at testthat/test_stats.R:30
     2: lapply(X = X, FUN = FUN, ...)
     3: FUN(X[[i]], ...)
     4: expect_equal(dim(z.stats(corr)), c(112, 11)) at testthat/test_stats.R:30
     5: quasi_label(enquo(object), label)
     6: eval_bare(get_expr(quo), get_env(quo))
     7: z.stats(corr)
     8: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     9: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     10: summarise_impl(.data, dots, environment(), caller_env())
    
     -- 4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62) ---------
     Evaluation error: could not find function "n".
     1: expect_silent(z.plot.range("HY")) at testthat/test_stats.R:62
     2: quasi_capture(enquo(object), evaluate_promise)
     3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
     4: withr::with_output_sink(temp, withCallingHandlers(withVisible(code), warning = handle_warning,
     message = handle_message))
     5: force(code)
     6: withCallingHandlers(withVisible(code), warning = handle_warning, message = handle_message)
     7: withVisible(code)
     8: eval_bare(get_expr(quo), get_env(quo))
     9: z.plot.range("HY")
     10: z.stats(correlation, pprRange, ...)
     11: summarise(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)), MPE = sum((z.chart -
     z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) * 100/n(),
     MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2), MAE = sum(abs(z.chart -
     z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     12: summarise.tbl_df(grouped, z.chart, z.calc, RMSE = sqrt(mean((z.chart - z.calc)^2)),
     MPE = sum((z.chart - z.calc)/z.chart) * 100/n(), MAPE = sum(abs((z.chart - z.calc)/z.chart)) *
     100/n(), MSE = sum((z.chart - z.calc)^2)/n(), RSS = sum((z.chart - z.calc)^2),
     MAE = sum(abs(z.chart - z.calc))/n(), MAAPE = sum(atan(abs((z.chart - z.calc)/z.chart)))/n())
     13: summarise_impl(.data, dots, environment(), caller_env())
    
     == testthat results ===========================================================
     OK: 120 SKIPPED: 0 FAILED: 4
     1. Error: z.stats matches dimension and mean of MAPE. default interval = coarse (@test_stats.R#8)
     2. Error: z.stats matches dimension and mean of MAPE, interval = fine (@test_stats.R#19)
     3. Error: z.stats matches dimension and mean of MAPE, range = hp (@test_stats.R#30)
     4. Error: z.plot.range work for Hall-Yarborough (@test_stats.R#62)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64