Package index • contrastable

Main functions

Functions for setting and summarizing contrast matrices

enlist_contrasts(): Get a list of contrast matrices

glimpse_contrasts(): Get quick summary of contrasts in dataframe

set_contrasts(): Set contrasts to factor columns in dataframe

Contrast-generating functions

Functions for creating contrast matrices given some number of levels

backward_difference_code(): Use backward difference coding

cumulative_split_code(): Use cumulative split coding

forward_difference_code(): Use forward difference coding

helmert_code(): Use helmert coding

orth_polynomial_code() polynomial_code(): Use orthogonal polynomial coding

raw_polynomial_code(): Use raw polynomial coding

reverse_helmert_code(): Use reverse helmert coding

scaled_sum_code(): Use scaled sum coding

sum_code(): Use sum coding

treatment_code(): Use treatment coding

Miscellaneous

Other utilities provided by the package

decompose_contrasts(): Decompose contrasts into new columns

interpret_intercept(): Interpret intercept from contrasts

is.unordered(): Check for unordered factor

is_centered(): Check for intercept centering

is_orthogonal(): Check for orthogonality

as.unordered(): Convert to unordered factor

use_contrasts(<AsIs>): AsIs method for use_contrasts

use_contrasts(): Use contrast specification for given factor

use_contrasts(<default>): Default method for use_contrasts

use_contrasts(<function>): Function method for use_contrasts

use_contrasts(<hypr>): hypr method for use_contrasts

use_contrasts(<matrix>): Matrix method for use_contrasts

use_contrasts(<name>): Symbol method for use_contrasts

print_contrasts(): Print contrasts