openintro (version 1.7.1)

linResPlot: Create simple regression plot with residual plot

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

# NOT RUN {
# 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])
# }

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