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The most common measure of standardized effect size is Cohen's d, where the mean difference is divided by the standard deviation of the pooled observations ( ... ... <看更多>
There is nothing wrong with your code. It runs as given: set.seed(123) df1 <- data.frame(cond1 = rep(0:1, 500), cond2 = sample(0:2, 1000, ... ... <看更多>
Cohen's d is an effect size used to indicate the standardized difference between two means. Cohen's D is one of the most common ways to measure ... ... <看更多>