View source: R/welch_anova_test.R
welch_anova_test | R Documentation |
Tests for equal means in a one-way design (not assuming equal
variance). A wrapper around the base function
oneway.test()
. This is is an alternative to the
standard one-way ANOVA in the situation where the homogeneity of variance
assumption is violated.
welch_anova_test(data, formula)
data |
a data frame containing the variables in the formula. |
formula |
a formula specifying the ANOVA model similar to aov. Can be of the form y ~ group where y is a numeric variable giving the data values and group is a factor with one or multiple levels giving the corresponding groups. For example, formula = TP53 ~ cancer_group. |
return a data frame with the following columns:
.y.
: the y variable used in the test.
n
: sample count.
statistic
: the value of the test statistic.
p
:
p-value.
method
: the statistical test used to compare groups.
# Load data #::::::::::::::::::::::::::::::::::::::: data("ToothGrowth") df <- ToothGrowth df$dose <- as.factor(df$dose) # Welch one-way ANOVA test (not assuming equal variance) #::::::::::::::::::::::::::::::::::::::::: df %>% welch_anova_test(len ~ dose) # Grouped data #::::::::::::::::::::::::::::::::::::::::: df %>% group_by(supp) %>% welch_anova_test(len ~ dose)
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