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rmip

Research Methods in Practice

Factorial differences

Cut and paste your R commands for the worksheet exercise here:


For a model answer, see the source code


AUTO MARK: Code must be more than 10 lines and less than 40 lines. Text must contain the following keywords (below). When throwing an error, give an error message (e.g. “no group_by”)

library tidyverse BayesFactor read_csv group_by summarise mean factor anovaBF whichRandom ggplot aes geom_line geom_point scale_x_discrete theme_bw()