make_model_matrix.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/make_model_matrix.R
\name{make_model_matrix}
\alias{make_model_matrix}
\title{Create Model Matrix From Predictor Variables}
\usage{
make_model_matrix(
  data,
  predictors = NULL,
  categorical_caret = T,
  full_rank = T,
  zscore = T,
  verbose = T,
  intercept = F,
  impute_na = T,
  fun = median
)
}
\arguments{
\item{data}{A summarized experiment or data frame containing for example clinical data.}

\item{predictors}{Character - A character vector representing column names in data concatinated with c()}

\item{categorical_caret}{Logical - Make dummy variables with caret | Default = TRUE}

\item{full_rank}{Logical - Impute missing values?}

\item{zscore}{Logical - Scale}

\item{verbose}{Logical - use dummyVars to make categorical dummy variables}

\item{intercept}{Logical - Intercept when using base function model.matrix()}

\item{impute_na}{Logical - Impute missing numerical values?}

\item{fun}{Function - Any function like mean, median, mode}
}
\description{
This creates a model matrix via model.matrix() from predicotr variables.
}
\details{
This function uses reformulate to overcome obstacle of the NSE of model.matrix.
}