Last updated on 2025-10-30 15:50:11 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 | 10.58 | 89.98 | 100.56 | 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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.