doLDA: Run Linear Discriminant Analysis

In amcdavid/SingleCellAnalysis: Tools for Analysis of Zero-Inflated, Continuous Data

Description

Runs Fisher's LDA to discriminate 'grouping' via 'train', optionally attempting out-of-sample prediction using sample 'predict'

Usage

doLDA(train, predict, grouping, Layer = "lCount")

Arguments

train	SingleCellAssay
predict	SingleCellAssay
grouping	character vector of length 1 naming a column in the cData of 'train' and 'predict'
Layer	which layer should be used to train and predict?

Value

object of class 'LinearClassifier' and 'matrix'

See Also

doGLMnet, annotateBiPlot

amcdavid/SingleCellAnalysis documentation built on May 10, 2019, 10:27 a.m.