contr_code_helmert {faux} | R Documentation |
Helmert code a factor
Description
Helmert coding sets the grand mean as the intercept. Each contrast compares one level with the mean of previous levels.
Usage
contr_code_helmert(fct, levels = NULL)
Arguments
fct |
the factor to contrast code (or a vector) |
levels |
the levels of the factor in order |
Value
the factor with contrasts set
Examples
df <- sim_design(between = list(pet = c("cat", "dog")),
mu = c(10, 20), plot = FALSE)
df$pet <- contr_code_helmert(df$pet)
lm(y ~ pet, df) %>% broom::tidy()
df <- sim_design(between = list(pet = c("cat", "dog", "ferret")),
mu = c(2, 4, 9), empirical = TRUE, plot = FALSE)
df$pet <- contr_code_helmert(df$pet)
lm(y ~ pet, df) %>% broom::tidy()
# reorder the levels to change the comparisons
df$pet <- contr_code_helmert(df$pet, levels = c("dog", "cat", "ferret"))
lm(y ~ pet, df) %>% broom::tidy()
df$pet <- contr_code_helmert(df$pet, levels = c("ferret", "dog", "cat"))
lm(y ~ pet, df) %>% broom::tidy()
[Package faux version 1.2.1 Index]