overparametrized_model.matrix: Obtain overparametrized design matrix

In surh/AMORglmnet: Plugin to use glmnet models with AMOR

Description

This functions takes a formula and data frame and creates a design matrix that has a column for every level of every factor.

Usage

overparametrized_model.matrix(formula, data, remove.constant = TRUE,
  intercept = TRUE)

Arguments

formula	Righ hand side of formula for which a design matrix is desired.
data	data.frame containing the variables used in the formula
remove.constant	Logical indicating whether columns that never vary should be removed. Most commonly these are due to specific combinations of factors that never happen on the dataset.
intercept	Logical indicating whether or not to add an intercept

Author(s)

Sur from Dangl lab

Examples

data(Rhizo.map)

X <- overparametrized_model.matrix(~ fraction * accession,
                                   data = Rhizo.map)
image(X)

surh/AMORglmnet documentation built on May 30, 2019, 8:41 p.m.