Closed RussellGrayxd closed 2 years ago
Traces to:
library(dplyr)
library(insight)
df <- dplyr::tibble(
variable = c(
"test1", "test2", "test3",
"test1", "test2", "test3",
"test1", "test2", "test3"
),
value = rnorm(n = 9, 1, 2)
)
df %>%
group_by(variable) %>%
group_modify(~standardize_names(datawizard::describe_distribution(.), style = "broom")) %>%
ungroup()
#> Warning: Need at least 4 complete observations for type-2-kurtosis Using
#> 'type="1"' now.
#> Error in `group_modify()`:
#> ! The returned data frame cannot contain the original grouping
#> variables: variable.
Created on 2022-05-09 by the reprex package (v2.0.1)
Title says it all. the column header "variable" does not play nicely with the x arguement of ggstatsplot, but is a common column name with melted data frames used for boxplots.
Example:
library(ggstatsplot)
Var1 <- c("test1","test2","test3", "test1","test2","test3", "test1","test2","test3") Var2 <- rnorm(n=9, 1, 2)
test.data <- data.frame(cbind("variable"=Var1,"value"=Var2))
ggstatsplot::ggbetweenstats(test.data, variable, value)