Creating a new column with significance labels — signif

This function will add a new column with significance labels to a dataframe containing p-values.

Usage

signif_column(data, p, ...)

Arguments

data: Data frame from which variables specified are preferentially to be taken.
p: The column containing p-values.
...: Currently ignored.

Value

Returns the dataframe in tibble format with an additional column corresponding to APA-format statistical significance labels.

Author

Indrajeet Patil

Examples

# preparing a new dataframe
df <- cbind.data.frame(
  x = 1:5,
  y = 1,
  p.value = c(0.1, 0.5, 0.00001, 0.05, 0.01)
)

# dataframe with significance column
signif_column(data = df, p = p.value)
#> # A tibble: 5 × 4
#>       x     y p.value significance
#>   <int> <dbl>   <dbl> <chr>       
#> 1     1     1 0.1     ns          
#> 2     2     1 0.5     ns          
#> 3     3     1 0.00001 ***         
#> 4     4     1 0.05    ns          
#> 5     5     1 0.01    *