Keng - Knock Errors Off Nice Guesses
Miscellaneous functions and data used in Qingyao's
psychological research and teaching. Keng currently has a
built-in dataset depress, and could (1) scale a vector, (2)
test the significance and compute the cut-off values of
Pearson's r without raw data, (3) compare lm()'s fitted outputs
using R-squared, f_squared, post-hoc power, and PRE
(Proportional Reduction in Error, also called partial R-squared
or partial Eta-squared). (4) Calculate PRE from partial
correlation, Cohen's f, or f_squared. (5) Compute the post-hoc
power for one or a set of predictors in regression analysis
without raw data, (6) Plan the sample size for one or a set of
predictors in regression analysis.