PP Plot.

Normal Probability (P-P) Plot.

Usage

ppPlot(model, type = NULL)

Arguments

model

The model object of a linear regression model fit using the lm() function.

type

The type of residuals used. One of:

• "deviance"

• "spearman"

• "response"

• "working"

• "partial"

• "score"; only available if fitting model with rms package

Value

Normal probability (P-P) plot.

Details

A normal probability (P-P) plot compares the empirical cumulative distribution to the theoretical cumulative distribution.

See also

https://www.r-bloggers.com/2009/12/r-tutorial-series-graphic-analysis-of-regression-assumptions/

Other plot: addText(), plot2WayInteraction(), semPlotInteraction(), vwReg()

Other multipleRegression: lmCombine(), plot2WayInteraction(), semPlotInteraction(), update_nested()

Examples

# Prepare Data
predictor1 <- rnorm(100)
predictor2 <- rnorm(100)
outcome <- rnorm(100)

# Fit Model
lmModel <- lm(outcome ~ predictor1 + predictor2)

# P-P Plot
ppPlot(lmModel)