get_design_mat: Create design matrix

In bryancquach/omixjutsu: Utilities for omics analysis tasks

Create design matrix

Description

Format data table to produce a design matrix.

Usage

get_design_mat(
  data,
  var_names = NULL,
  corr_cutoff = 0.75,
  corr_method = c("spearman", "pearson"),
  check_binary_vars = T,
  strings_as_factors = T
)

Arguments

data	A data frame of potential explanatory variables for the design matrix. Rows should be records and columns should be variables.
var_names	A vector of column names from data to consider for the design matrix.
corr_cutoff	A numeric value in 0,1 denoting the absolute correlation cutoff to classify pairs of collinear variables.
corr_method	A string indicating the type of correlation to use for determining collinearity. Must be pearson or spearman.
check_binary_vars	A boolean indiciating if dichotomous variables should be included in the collinearity pruning.
strings_as_factors	A boolean indiciating if character variables should be converted to factors in the returned data frame.

Details

Creates a design matrix and prunes variables with no variance. Removes pairwise collinear variables.

Value

A data frame of explanatory variables for regression.

See Also

get_residual_matrix

bryancquach/omixjutsu documentation built on Jan. 29, 2023, 3:47 p.m.