Wrapper around stats::contr.poly(). You can also use polynomial_code()
as an alias.
orth_polynomial_code(n)polynomial_code(n)
Arguments
n: Integer umber of factor levels to compute contrasts for.
Returns
A contrast matrix with dimensions n rows and (n-1) columns.
Details
For n levels of factors where k in 1:n, generate a matrix with n-1 comparisons where each comparison looks for a polynomial trend of degree k where each polynomial is independent of the others.
Examples
mydf <- data.frame( grp = rep(c("a","b","c","d"), each =2000), val = c( rnorm(200,2,1), rnorm(200,5,1), rnorm(200,7.5,1), rnorm(200,15,1)))|> set_contrasts(grp ~ polynomial_code)stats::lm(val ~ grp, data = mydf)