Import packages
library(datasets)
library(stats)
Prepare data
mtcars_data <- datasets::mtcars
mtcars_data$am <- as.factor(mtcars_data$am)
Wilcoxon Rank Sum Test, non-parametric equivalent to t-test (assess population mean difference in two groups)
wilcox.test(cyl ~ am, data = mtcars_data) # Assess mpg differences by transmission status (automatic vs. manual)
##
## Wilcoxon rank sum test with continuity correction
##
## data: cyl by am
## W = 194, p-value = 0.0039
## alternative hypothesis: true location shift is not equal to 0