Package index • cannonball

All functions

clustered_data(): Simulate data for a cluster-randomised experiment
lin_plot() var_plot() norm_qq() norm_hist(): Draw diagnostic parades
parade(): Generate dataset for a diagnostic parade
parade_summary(): Summarise residual information in a diagnostic parade per cell or per unique predictor value
plot_r(): Draw different scatterplots corresponding to a sample correlation coefficient
rand_test(): Randomisation testing for two-group comparisons
reveal(): Reveal the true data's position in a diagnostic parade
mean_diff() stud_mean_diff() median_diff() rank_sum() prob_super() ks_stat(): Test statistics for two-group comparisons
walkthrough_blocking(): Walkthrough blocking on a covariate
walkthrough_p(): Walkthrough p-values