Null hypothesis: variable is linear combination of predictors
null_lm(f, method = "rotate", ...)
f | model specification formula, as defined by |
---|---|
method | method for generating null residuals. Built in methods
'rotate', 'pboot' and 'boot' are defined by |
... | other arguments passedd onto |
a function that given data
generates a null data set.
For use with lineup
or rorschach
null_permute, null_dist
if (requireNamespace('reshape2', quietly = TRUE)) { data("tips", package = "reshape2") x <- lm(tip ~ total_bill, data = tips) tips.reg <- data.frame(tips, .resid = residuals(x), .fitted = fitted(x)) library(ggplot2) ggplot(lineup(null_lm(tip ~ total_bill, method = 'rotate'), tips.reg)) + geom_point(aes(x = total_bill, y = .resid)) + facet_wrap(~ .sample) }#>