Running examples in 'ggstatsplot-Ex.R' failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: pairwise_p
> ### Title: Pairwise comparison tests
> ### Aliases: pairwise_p
> 
> ### ** Examples
> 
> 
> # time consuming, so not run on `CRAN` machines
> ## Not run: 
> ##D # show all columns in a tibble
> ##D options(tibble.width = Inf)
> ##D 
> ##D # for reproducibility
> ##D set.seed(123)
> ##D 
> ##D #------------------- between-subjects design ----------------------------
> ##D 
> ##D # parametric
> ##D # if `var.equal = TRUE`, then Student's *t*-test will be run
> ##D ggstatsplot::pairwise_p(
> ##D   data = ggplot2::msleep,
> ##D   x = vore,
> ##D   y = brainwt,
> ##D   type = "p",
> ##D   var.equal = TRUE,
> ##D   paired = FALSE,
> ##D   p.adjust.method = "bonferroni"
> ##D )
> ##D 
> ##D # if `var.equal = FALSE`, then Games-Howell test will be run
> ##D ggstatsplot::pairwise_p(
> ##D   data = ggplot2::msleep,
> ##D   x = vore,
> ##D   y = brainwt,
> ##D   type = "p",
> ##D   var.equal = FALSE,
> ##D   paired = FALSE,
> ##D   p.adjust.method = "bonferroni"
> ##D )
> ##D 
> ##D # non-parametric
> ##D ggstatsplot::pairwise_p(
> ##D   data = ggplot2::msleep,
> ##D   x = vore,
> ##D   y = brainwt,
> ##D   type = "np",
> ##D   paired = FALSE,
> ##D   p.adjust.method = "none"
> ##D )
> ##D 
> ##D # robust
> ##D ggstatsplot::pairwise_p(
> ##D   data = ggplot2::msleep,
> ##D   x = vore,
> ##D   y = brainwt,
> ##D   type = "r",
> ##D   paired = FALSE,
> ##D   p.adjust.method = "fdr"
> ##D )
> ## End(Not run)
> #------------------- within-subjects design ----------------------------
> 
> set.seed(123)
> library(jmv)

Attaching package: 'jmv'

The following object is masked from 'package:stats':

    anova

> data("bugs", package = "jmv")
> 
> # converting to long format
> bugs_long <- bugs %>%
+   tibble::as_tibble(.) %>%
+   tidyr::gather(., key, value, LDLF:HDHF)
> 
> # parametric
> ggstatsplot::pairwise_p(
+   data = bugs_long,
+   x = key,
+   y = value,
+   type = "p",
+   paired = TRUE,
+   p.adjust.method = "BH"
+ )
Note: The parametric pairwise multiple comparisons test used-
 Student's t-test.
 Adjustment method for p-values: BH
# A tibble: 6 x 8
  group1 group2 mean.difference conf.low conf.high   p.value significance
  <chr>  <chr>            <dbl>    <dbl>     <dbl>     <dbl> <chr>       
1 HDLF   HDHF            -1.11    -2.15   -0.0755  10.00e- 4 ***         
2 LDHF   HDHF            -0.474   -1.51    0.562    7.07e- 2 ns          
3 LDLF   HDHF            -2.14    -3.17   -1.11     7.64e-12 ***         
4 LDHF   HDLF             0.637   -0.401   1.68     5.47e- 2 ns          
5 LDLF   HDLF            -1.03    -2.06    0.00654  1.39e- 3 **          
6 LDLF   LDHF            -1.66    -2.70   -0.631    6.67e- 9 ***         
# ... with 1 more variable: p.value.label <chr>
> 
> # non-parametric
> ggstatsplot::pairwise_p(
+   data = bugs_long,
+   x = key,
+   y = value,
+   type = "np",
+   paired = TRUE,
+   p.adjust.method = "BY"
+ )
Note: The nonparametric pairwise multiple comparisons test used-
 Durbin-Conover test.
 Adjustment method for p-values: BY
# A tibble: 6 x 6
  group1 group2 statistic  p.value significance p.value.label
  <chr>  <chr>      <dbl>    <dbl> <chr>        <chr>        
1 HDHF   HDLF        4.78 1.44e- 5 ***          p <= 0.001   
2 HDHF   LDHF        2.44 4.47e- 2 *            p = 0.045    
3 HDHF   LDLF        8.01 5.45e-13 ***          p <= 0.001   
4 HDLF   LDHF        2.34 4.96e- 2 *            p = 0.050    
5 HDLF   LDLF        3.23 5.05e- 3 **           p = 0.005    
6 LDHF   LDLF        5.57 4.64e- 7 ***          p <= 0.001   
> 
> # robust
> ggstatsplot::pairwise_p(
+   data = bugs_long,
+   x = key,
+   y = value,
+   type = "r",
+   paired = TRUE,
+   p.adjust.method = "hommel"
+ )
Error in .f(.x[[i]], ...) : object 'Group..1' not found
Calls: <Anonymous> ... <Anonymous> -> vars_rename_eval -> map_if -> map -> .f
Execution halted