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Creates Boxplots with Significance Makers

Source: R/boxplot_t_test.R
boxplot_t_test.Rd

Code for this function is based on the Guide of A. Kassambra on datanovia The functions creates given a vector of dependent variables (DV), nicely formatted boxplots with facetwrap for all DVs and calculates an independent sample T-Test to include significance bars

Usage

boxplot_t_test(df, dependentvars, group, adjust_p = "BH", ylimits = c(0, 150))

Arguments

df

data.frame.

dependentvars

Character vector.

group

Character vector.

adjust_p

Character vector. "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". See adjust_pvalue for more details

ylimits

Numeric vector.

Value

List(Plot and stats)

Examples

boxplot_t_test(mtcars, c("mpg", "hp"), group = "am")
#> $am
#> $am$plot

#> 
#> $am$stats
#> # A tibble: 2 × 15
#>   variab…¹ .y.   group1 group2    n1    n2 stati…²    df       p   p.adj p.adj…³
#>   <chr>    <chr> <chr>  <chr>  <int> <int>   <dbl> <dbl>   <dbl>   <dbl> <chr>  
#> 1 hp       value 0      1         19    13    1.27  18.7 0.221   0.221   ns     
#> 2 mpg      value 0      1         19    13   -3.77  18.3 0.00137 0.00274 **     
#> # … with 4 more variables: y.position <dbl>, groups <named list>, xmin <dbl>,
#> #   xmax <dbl>, and abbreviated variable names ¹​variables, ²​statistic,
#> #   ³​p.adj.signif
#> 
#>