center_data

Matrix or data frame containing the training data. The rows are the
sample observations, and the columns are the features. Only complete data are
retained.

vector of class labels for each training observation

Centers the observations in a matrix by their respective class sample means

A collection of sparse and regularized discriminant analysis
methods intended for small-sample, high-dimensional data sets. The package
features the High-Dimensional Regularized Discriminant Analysis classifier
from Ramey et al. (2017) <arXiv:1602.01182>. Other classifiers include
those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et
al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012)
<doi:10.1093/bioinformatics/btr690>.

Max Kuhn

center_data: Centers the observations in a matrix by their respective class sample means

Description

Usage

Arguments

Value