backward_difference_code function

Backward difference code

Backward difference code

Compares the mean of level k to level k-1. Differs in direction from forward_difference_code , so be careful to pick the right function. See also contr.sdif .

backward_difference_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

Example interpretation for a 4 level factor:

  • Intercept = Grand mean (mean of the means of each level)
  • grp1 = mean(grp2) - mean(grp1)
  • grp2 = mean(grp3) - mean(grp2)
  • grp3 = mean(grp4) - mean(grp3)

Examples

mydf <- data.frame( grp = gl(4,5), resp = c(seq(1, 5), seq(5, 9), seq(10, 14), seq(15, 19)) ) mydf <- set_contrasts(mydf, grp ~ backward_difference_code) lm(resp ~ grp, data = mydf)
  • Maintainer: Thomas Sostarics
  • License: MIT + file LICENSE
  • Last published: 2024-10-01