Obtain variance per group as well as check for the rule of thumb of one group having variance four times bigger than any of the other groups. Variance ratio is calculated as Max / Min.
Value
A dataframe, with the values of the selected variables for each group, their max variance ratio (maximum variance divided by the minimum variance), the selected decision criterion, and whether the data are considered heteroscedastic according to the decision criterion.
See also
Other functions useful in assumption testing:
nice_assumptions
, nice_density
,
nice_normality
, nice_qq
,
nice_varplot
. Tutorial:
https://rempsyc.remi-theriault.com/articles/assumptions
Examples
# Make the basic table
nice_var(
data = iris,
variable = "Sepal.Length",
group = "Species"
)
#> Species Setosa Versicolor Virginica Variance.ratio Criteria
#> 1 Sepal.Length 0.124 0.266 0.404 3.3 4
#> Heteroscedastic
#> 1 FALSE
# Try on multiple variables
nice_var(
data = iris,
variable = names(iris[1:4]),
group = "Species"
)
#> Species Setosa Versicolor Virginica Variance.ratio Criteria
#> 1 Sepal.Length 0.124 0.266 0.404 3.3 4
#> 2 Sepal.Width 0.144 0.098 0.104 1.5 4
#> 3 Petal.Length 0.030 0.221 0.305 10.2 4
#> 4 Petal.Width 0.011 0.039 0.075 6.8 4
#> Heteroscedastic
#> 1 FALSE
#> 2 FALSE
#> 3 TRUE
#> 4 TRUE