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Cohen’s d
Cohen’s d is the measure of effect size; it indicates the size of a group difference in number of standard deviation.
cohensD()
The cohensD() function calculates the Cohen's d measure of effect size. Example: cohensD(Thumb ~ Gender , data = Fingers) Example output:
Statistical Model
A statistical model is a simplified way of describing how data are generated. It helps us separate what we can explain using known information from what we cannot explain perfectly. We use statistical models for three main purposes: (1) to understand ...
independent sampling
Independent sampling is the selection of one case for a study has no effect on the selection of another case.
gf_lm()
The gf_lm() function overlays the best-fitting regression line on a scatter plot when chained onto gf_point(). Example: # adds a regression line gf_point(Thumb ~ Height, data = Fingers) %>% gf_lm( color = "orange", size = 2 )