linResPlot: Create simple regression plot with residual plot

In JECheadle/RSOC317L: Data Sets and Supplemental Functions from David Diez's 'OpenIntro' Textbook

Description

Create a simple regression plot with residual plot.

Usage

linResPlot(x, y, axes = FALSE, wBox = TRUE, wLine = TRUE,
           lCol = "#00000088", lty = 1, lwd = 1,
           main = "", xlab = "", ylab = "", marRes = NULL,
           col = fadeColor(4, "88"), pch = 20, cex = 1.5,
           yR = 0.1, ylim = NULL, subset = NULL, ...)

Arguments

x	Predictor variable.
y	Outcome variable.
axes	Whether to plot axis labels.
wBox	Whether to plot boxes around each plot.
wLine	Add a regression line.
lCol	Line color.
lty	Line type.
lwd	Line width.
main	Title for the top plot.
xlab	x-label.
ylab	y-label.
marRes	Margin for the residuals plot.
col	Color of the points.
pch	Plotting character of points.
cex	Size of points.
yR	An additional vertical stretch factor on the plot.
ylim	y-limits.
subset	Boolean vector, if wanting a subset of the data.
...	Additional arguments passed to both plots.

See Also

makeTube

Examples

# Currently seems broken for this example.
n <- 25
x <- runif(n)
y <- 5 * x + rnorm(n)
myMat <- rbind(matrix(1:2, 2))
myW <- 1
myH <- c(1, 0.45)
par(mar = c(0.35, 0.654, 0.35, 0.654))
layout(myMat, myW, myH)
linResPlot(x, y, col = COL[1, 2])

JECheadle/RSOC317L documentation built on May 15, 2019, 4:02 a.m.