grayplot_na: Scatterplot with missing values indicated

Description

Scatterplot with a gray background and with points with missing values shown in separate panels near the margins.

Usage

grayplot_na(
  x,
  y = NULL,
  type = "p",
  bgcolor = "gray90",
  v_over_h = FALSE,
  pch = 21,
  bg = "lightblue",
  col = "black",
  force = c("none", "x", "y", "both"),
  ...
)

Value

None.

Arguments

x: Coordinates of points in the plot
y: Coordinates of points in the plot (optional)
type: Plot type (points, lines, etc.)
bgcolor: Background color
v_over_h: If TRUE, place vertical grid lines on top of the horizontal ones.
pch: point type
bg: Background color in points
col: Color of outer circle in points
force: Indicates whether to force the NA box (on the x-axis, y-axis, or both) even when there are no missing values.
...: Optional graphics arguments

Details

Calls plot() with `type="n", then graphics::rect() to get the background, and then graphics::points().

There are a bunch of hidden graphical arguments you can include: na.width controls the proportional width devoted to the NA boxes, and na.gap the proportion for the gap between the NA boxes and the main plot region. mgp.x and mgp.y (like mgp, for controlling parameters of axis labels, but separate for x- and y-axis). Also hlines to indicate locations of of horizontal gridlines, and hlines.col, hlines.lwd, and hlines.lty to set their color, width, and type. hlines=NA suppresses the grid lines. Similarly vlines, vlines.col, vlines.lwd, and vlines.lty. xat and yat are for specifying the locations of x- and y-axis labels, respectively. xat=NA and yat=NA indicate no labels.

Examples

Run this code

set.seed(97536917)
n <- 100
x <- rnorm(n)
y <- x+rnorm(n, 0, 0.7)
x[sample(n, 10)] <- NA

grayplot_na(x, y)

grayplot_na(x, y, force="y")

y[sample(n, 10)] <- NA
grayplot_na(x, y)