na_scatter: Scatterplot colored by appearence of missing values

In twolodzko/misster: Simple tools for dealing with missing values

Description

Scatterplot colored by appearence of missing values

Usage

na_scatter(data, formula, col = c("lightblue", "red"), alpha = 0.3,
  pch = 16L, cex = 1, legend = "topright", ...)

Arguments

data	a data.frame.cala
formula	an object of class "formula": a symbolic description of the model to be fitted. It must take form of z ~ x + y, where z is a variable containing missing values and x and y are the variables to plot.
col, pch, cex, alpha	a two-value vector of colors, plotting characters, scaling, and transparency (value between 0 and 1) for non-missing and missing values. If provided as a scalar, same value is used for both non-missing and missing values.
legend	position of legend, if NULL, legend is not printed.
...	additional arguments passed to plot.

Examples

set.seed(123)

dat <- mtcars
dat$disp[sample.int(nrow(dat), 10)] <- NA

na_scatter(dat, disp ~ mpg + wt)
na_scatter(dat, disp ~ mpg + jitter(cyl, 1.1))

twolodzko/misster documentation built on May 24, 2019, 2:54 p.m.