Last updated on 2025-10-31 00:51:03 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 4.4-0 | 16.70 | 129.83 | 146.53 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 4.4-0 | 10.79 | 89.16 | 99.95 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 4.4-0 | 33.00 | 189.46 | 222.46 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 4.4-0 | 32.00 | 176.86 | 208.86 | ERROR | |
| r-devel-windows-x86_64 | 4.4-0 | 17.00 | 127.00 | 144.00 | ERROR | |
| r-patched-linux-x86_64 | 4.4-0 | 15.50 | 120.19 | 135.69 | ERROR | |
| r-release-linux-x86_64 | 4.4-0 | 15.68 | 121.10 | 136.78 | ERROR | |
| r-release-macos-arm64 | 4.4-0 | 4.00 | 46.00 | 50.00 | NOTE | |
| r-release-macos-x86_64 | 4.4-0 | 12.00 | 94.00 | 106.00 | NOTE | |
| r-release-windows-x86_64 | 4.4-0 | 17.00 | 130.00 | 147.00 | ERROR | |
| r-oldrel-macos-arm64 | 4.4-0 | 6.00 | 51.00 | 57.00 | NOTE | |
| r-oldrel-macos-x86_64 | 4.4-0 | 9.00 | 71.00 | 80.00 | NOTE | |
| r-oldrel-windows-x86_64 | 4.4-0 | 21.00 | 168.00 | 189.00 | ERROR |
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 4.464 0.308 5.283
Flavor: r-devel-linux-x86_64-debian-clang
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
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, r-devel-windows-x86_64, r-release-windows-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 4.116 0.12 5.27
Flavor: r-patched-linux-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 4.117 0.115 5.883
ezDesign 3.842 0.139 5.136
Flavor: r-release-linux-x86_64