linResPlot: Create simple regression plot with residual plot

In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

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

# 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])

openintro documentation built on June 22, 2024, 7:37 p.m.