dimarConstructDesignMatrix: dimarConstructDesignMatrix

In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R

dimarConstructDesignMatrix

Description

Constructs design matrix with the factorial row/col predictors and the mean intensity

Usage

dimarConstructDesignMatrix(mtx)

Arguments

mtx	Quantitative matrix

Value

list of response vector, design matrix and vector of predictor type

Examples

mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
design <- dimarConstructDesignMatrix(mtx)
design <- dimarConstructRegularizationMatrix(design)
fit <- glm.fit(design$X, design$y, family=binomial())

mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
design <- dimarConstructDesignMatrix(mtx)
fit <- glm.fit(design$X, design$y, family=binomial())
yhat <- exp(design$X %*% coefficients(fit))/(1+exp(design$X %*% coefficients(fit)))

kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.