Generates descriptive statistics for a given data frame. Continuous variables stats are grouped in a single data frame while each categorical variable has its stats stored in a separate data frame.
get_descriptive_stat(df, vars = NULL, include_long_catg = FALSE)A data.frame object to analyse
Variables to compute stats for. NULL means all variables
Whether or not to include stats for categorical variables with more than 50 unique values
a list of data frames with descriptive statistics
get_descriptive_stat(iris)
#> $Species
#> values count percentage
#> 1 setosa 50 33.33333
#> 2 versicolor 50 33.33333
#> 3 virginica 50 33.33333
#>
#> $ContinuousVariables
#> min max mean median std variance Q1 Q3
#> Sepal.Length 4.3 7.9 5.843333 5.80 0.8280661 0.6856935 5.1 6.4
#> Sepal.Width 2.0 4.4 3.057333 3.00 0.4358663 0.1899794 2.8 3.3
#> Petal.Length 1.0 6.9 3.758000 4.35 1.7652982 3.1162779 1.6 5.1
#> Petal.Width 0.1 2.5 1.199333 1.30 0.7622377 0.5810063 0.3 1.8
#>
get_descriptive_stat(iris, vars = c('Petal.Length', 'Species'))
#> $Species
#> values count percentage
#> 1 setosa 50 33.33333
#> 2 versicolor 50 33.33333
#> 3 virginica 50 33.33333
#>
#> $ContinuousVariables
#> min max mean median std variance Q1 Q3
#> Petal.Length 1 6.9 3.758 4.35 1.765298 3.116278 1.6 5.1
#>
get_descriptive_stat(iris, include_long_catg = TRUE)
#> $Species
#> values count percentage
#> 1 setosa 50 33.33333
#> 2 versicolor 50 33.33333
#> 3 virginica 50 33.33333
#>
#> $ContinuousVariables
#> min max mean median std variance Q1 Q3
#> Sepal.Length 4.3 7.9 5.843333 5.80 0.8280661 0.6856935 5.1 6.4
#> Sepal.Width 2.0 4.4 3.057333 3.00 0.4358663 0.1899794 2.8 3.3
#> Petal.Length 1.0 6.9 3.758000 4.35 1.7652982 3.1162779 1.6 5.1
#> Petal.Width 0.1 2.5 1.199333 1.30 0.7622377 0.5810063 0.3 1.8
#>