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Create simple regression plot with residual plot

Source: R/linResPlot.R
linResPlot.Rd

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])