PlotResiduals: Plot predicted values vs residuals to assess data linearity...

In yanwu2014/perturbLM: A lightweight R package that uses linear models to analyze the effects of chemical/genetic perturbations, conditions, and disease states on single gene expression.

Plot predicted values vs residuals to assess data linearity and heteroskedasticity This requires densifying the expression matrices so it might be wise to only plot a subset of cells/genes.

Description

Plot predicted values vs residuals to assess data linearity and heteroskedasticity This requires densifying the expression matrices so it might be wise to only plot a subset of cells/genes.

Usage

PlotResiduals(x, y, mfit, nonzero.only = T)

Arguments

x	Design matrix + covariates matrix
y	Expression response
mfit	Fitted glmnet model
nonzero.only	Only plot residuals vs predicted for nonzero values

Value

KDE density plot of residuals vs predicted

yanwu2014/perturbLM documentation built on Aug. 24, 2023, 2:28 p.m.