CRAN Package Check Results for Package ez

Last updated on 2025-09-12 03:50:15 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 4.4-0 15.49 128.91 144.40 NOTE
r-devel-linux-x86_64-debian-gcc 4.4-0 10.59 91.05 101.64 ERROR
r-devel-linux-x86_64-fedora-clang 4.4-0 221.44 ERROR
r-devel-linux-x86_64-fedora-gcc 4.4-0 208.39 ERROR
r-devel-windows-x86_64 4.4-0 14.00 128.00 142.00 NOTE
r-patched-linux-x86_64 4.4-0 13.23 118.48 131.71 NOTE
r-release-linux-x86_64 4.4-0 13.91 118.22 132.13 NOTE
r-release-macos-arm64 4.4-0 50.00 NOTE
r-release-macos-x86_64 4.4-0 106.00 NOTE
r-release-windows-x86_64 4.4-0 14.00 127.00 141.00 NOTE
r-oldrel-macos-arm64 4.4-0 57.00 NOTE
r-oldrel-macos-x86_64 4.4-0 80.00 NOTE
r-oldrel-windows-x86_64 4.4-0 20.00 160.00 180.00 NOTE

Check Details

Version: 4.4-0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Michael A. Lawrence <mike.lwrnc@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = c("Michael", "A."), family = "Lawrence", role = c("aut", "cre"), email = "mike.lwrnc@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 4.4-0
Check: Rd files
Result: NOTE checkRd: (-1) ez-package.Rd:19: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:20: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:21: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:22: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:23: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:24: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:25: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:26: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:27: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:28: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:29: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:30: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:32: Lost braces in \itemize; meant \describe ? checkRd: (-1) ez-package.Rd:33: Lost braces in \itemize; meant \describe ? Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 4.4-0
Check: examples
Result: ERROR Running examples in ‘ez-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: ezPlot > ### Title: Plot data from a factorial experiment > ### Aliases: ezPlot > > ### ** Examples > > #Read in the ANT data (see ?ANT). > data(ANT) > head(ANT) subnum group block trial cue flank location direction rt 1 1 Treatment 1 1 None Neutral up left 398.6773 2 1 Treatment 1 2 Center Neutral up left 389.1822 3 1 Treatment 1 3 Double Neutral up left 333.2186 4 1 Treatment 1 4 Spatial Neutral up left 419.7640 5 1 Treatment 1 5 None Congruent up left 446.4754 6 1 Treatment 1 6 Center Congruent up left 338.9766 error 1 0 2 0 3 0 4 0 5 0 6 0 > ezPrecis(ANT) Data frame dimensions: 5760 rows, 10 columns type missing values min max subnum factor 0 20 1 20 group factor 0 2 Control Treatment block numeric 0 6 1 6 trial numeric 0 48 1 48 cue factor 0 4 None Spatial flank factor 0 3 Neutral Incongruent location factor 0 2 down up direction factor 0 2 left right rt numeric 0 5760 179.5972 657.6986 error numeric 0 2 0 1 > > > ## Not run: > ##D #Run an ANOVA on the mean correct RT data. > ##D mean_rt_anova = ezANOVA( > ##D data = ANT[ANT$error==0,] > ##D , dv = .(rt) > ##D , wid = .(subnum) > ##D , within = .(cue,flank) > ##D , between = .(group) > ##D ) > ##D > ##D #Show the ANOVA and assumption tests. > ##D print(mean_rt_anova) > ## End(Not run) > > #Plot the main effect of group. > group_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() > > #Show the plot. > print(group_plot) > > #tweak the plot > # group_plot = group_plot + > # theme( > # panel.grid.major = element_blank() > # , panel.grid.minor = element_blank() > # ) > # print(group_plot) > > > > #use the "print_code" argument to print the > # code for creating the plot and return the > # data to plot. This is useful when you want > # to learn how to create plots from scratch > # (which can in turn be useful when you can't > # get a combination of ezPlot and tweaking to > # achieve what you want) > group_plot_data = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + , print_code = TRUE + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() ggplot( data = stats , mapping = aes( y = Mean , x = group ) )+ geom_point()+ geom_errorbar( mapping = aes( ymin = lo , ymax = hi ) , linetype = 1 , show.legend = FALSE , width = 0.25 , alpha = .5 )+ labs( x = 'Group' , y = 'RT (ms)' )> > > #Re-plot the main effect of group, using the levels > ##argument to re-arrange/rename levels of group > group_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + , levels = list( + group = list( + new_order = c('Treatment','Control') + , new_names = c('Treatment\nGroup','Control\nGroup') + ) + ) + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() > > #Show the plot. > print(group_plot) > > > #Plot the cue*flank interaction. > cue_by_flank_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , within = .(cue,flank) + , x = .(flank) + , split = .(cue) + , x_lab = 'Flanker' + , y_lab = 'RT (ms)' + , split_lab = 'Cue' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. > > #Show the plot. > print(cue_by_flank_plot) > > > #Plot the cue*flank interaction by collapsing the cue effect to > ##the difference between None and Double > cue_by_flank_plot2 = ezPlot( + data = ANT[ ANT$error==0 & (ANT$cue %in% c('None','Double')) ,] + , dv = .(rt) + , wid = .(subnum) + , within = .(flank) + , diff = .(cue) + , reverse_diff = TRUE + , x = .(flank) + , x_lab = 'Flanker' + , y_lab = 'RT Effect (None - Double, ms)' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Warning: Collapsing "cue" to a difference score ("None"-"Double") prior to computing statistics. > > #Show the plot. > print(cue_by_flank_plot2) > > > > #Plot the group*cue*flank interaction. > group_by_cue_by_flank_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , within = .(cue,flank) + , between = .(group) + , x = .(flank) + , split = .(cue) + , col = .(group) + , x_lab = 'Flanker' + , y_lab = 'RT (ms)' + , split_lab = 'Cue' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Warning: Mixed within-and-between-Ss effect requested; FLSD is only appropriate for within-Ss comparisons (see warning in ?ezStats or ?ezPlot). Error: ! The `facets` argument of `facet_grid()` was deprecated in ggplot2 2.2.0 and is now defunct. ℹ Please use the `rows` argument instead. Backtrace: ▆ 1. └─ez::ezPlot(...) 2. ├─base::eval(parse(text = p)) 3. │ └─base::eval(parse(text = p)) 4. └─ggplot2::facet_grid(facets = . ~ group, scales = "free_y") 5. └─lifecycle::deprecate_stop("2.2.0", "facet_grid(facets)", "facet_grid(rows)") 6. └─lifecycle:::deprecate_stop0(msg) 7. └─rlang::cnd_signal(...) Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed ezBoot 3.169 0.606 5.437 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 4.4-0
Check: examples
Result: ERROR Running examples in ‘ez-Ex.R’ failed The error most likely occurred in: > ### Name: ezPlot > ### Title: Plot data from a factorial experiment > ### Aliases: ezPlot > > ### ** Examples > > #Read in the ANT data (see ?ANT). > data(ANT) > head(ANT) subnum group block trial cue flank location direction rt 1 1 Treatment 1 1 None Neutral up left 398.6773 2 1 Treatment 1 2 Center Neutral up left 389.1822 3 1 Treatment 1 3 Double Neutral up left 333.2186 4 1 Treatment 1 4 Spatial Neutral up left 419.7640 5 1 Treatment 1 5 None Congruent up left 446.4754 6 1 Treatment 1 6 Center Congruent up left 338.9766 error 1 0 2 0 3 0 4 0 5 0 6 0 > ezPrecis(ANT) Data frame dimensions: 5760 rows, 10 columns type missing values min max subnum factor 0 20 1 20 group factor 0 2 Control Treatment block numeric 0 6 1 6 trial numeric 0 48 1 48 cue factor 0 4 None Spatial flank factor 0 3 Neutral Incongruent location factor 0 2 down up direction factor 0 2 left right rt numeric 0 5760 179.5972 657.6986 error numeric 0 2 0 1 > > > ## Not run: > ##D #Run an ANOVA on the mean correct RT data. > ##D mean_rt_anova = ezANOVA( > ##D data = ANT[ANT$error==0,] > ##D , dv = .(rt) > ##D , wid = .(subnum) > ##D , within = .(cue,flank) > ##D , between = .(group) > ##D ) > ##D > ##D #Show the ANOVA and assumption tests. > ##D print(mean_rt_anova) > ## End(Not run) > > #Plot the main effect of group. > group_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() > > #Show the plot. > print(group_plot) > > #tweak the plot > # group_plot = group_plot + > # theme( > # panel.grid.major = element_blank() > # , panel.grid.minor = element_blank() > # ) > # print(group_plot) > > > > #use the "print_code" argument to print the > # code for creating the plot and return the > # data to plot. This is useful when you want > # to learn how to create plots from scratch > # (which can in turn be useful when you can't > # get a combination of ezPlot and tweaking to > # achieve what you want) > group_plot_data = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + , print_code = TRUE + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() ggplot( data = stats , mapping = aes( y = Mean , x = group ) )+ geom_point()+ geom_errorbar( mapping = aes( ymin = lo , ymax = hi ) , linetype = 1 , show.legend = FALSE , width = 0.25 , alpha = .5 )+ labs( x = 'Group' , y = 'RT (ms)' )> > > #Re-plot the main effect of group, using the levels > ##argument to re-arrange/rename levels of group > group_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , between = .(group) + , x = .(group) + , do_lines = FALSE + , x_lab = 'Group' + , y_lab = 'RT (ms)' + , levels = list( + group = list( + new_order = c('Treatment','Control') + , new_names = c('Treatment\nGroup','Control\nGroup') + ) + ) + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Coefficient covariances computed by hccm() > > #Show the plot. > print(group_plot) > > > #Plot the cue*flank interaction. > cue_by_flank_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , within = .(cue,flank) + , x = .(flank) + , split = .(cue) + , x_lab = 'Flanker' + , y_lab = 'RT (ms)' + , split_lab = 'Cue' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. > > #Show the plot. > print(cue_by_flank_plot) > > > #Plot the cue*flank interaction by collapsing the cue effect to > ##the difference between None and Double > cue_by_flank_plot2 = ezPlot( + data = ANT[ ANT$error==0 & (ANT$cue %in% c('None','Double')) ,] + , dv = .(rt) + , wid = .(subnum) + , within = .(flank) + , diff = .(cue) + , reverse_diff = TRUE + , x = .(flank) + , x_lab = 'Flanker' + , y_lab = 'RT Effect (None - Double, ms)' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Warning: Collapsing "cue" to a difference score ("None"-"Double") prior to computing statistics. > > #Show the plot. > print(cue_by_flank_plot2) > > > > #Plot the group*cue*flank interaction. > group_by_cue_by_flank_plot = ezPlot( + data = ANT[ANT$error==0,] + , dv = .(rt) + , wid = .(subnum) + , within = .(cue,flank) + , between = .(group) + , x = .(flank) + , split = .(cue) + , col = .(group) + , x_lab = 'Flanker' + , y_lab = 'RT (ms)' + , split_lab = 'Cue' + ) Warning: Collapsing data to cell means. *IF* the requested effects are a subset of the full design, you must use the "within_full" argument, else results may be inaccurate. Warning: Mixed within-and-between-Ss effect requested; FLSD is only appropriate for within-Ss comparisons (see warning in ?ezStats or ?ezPlot). Error: ! The `facets` argument of `facet_grid()` was deprecated in ggplot2 2.2.0 and is now defunct. ℹ Please use the `rows` argument instead. Backtrace: ▆ 1. └─ez::ezPlot(...) 2. ├─base::eval(parse(text = p)) 3. │ └─base::eval(parse(text = p)) 4. └─ggplot2::facet_grid(facets = . ~ group, scales = "free_y") 5. └─lifecycle::deprecate_stop("2.2.0", "facet_grid(facets)", "facet_grid(rows)") 6. └─lifecycle:::deprecate_stop0(msg) 7. └─rlang::cnd_signal(...) Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc