mplot3_missing: Plot missingness

In egenn/rtemis: Machine Learning and Visualization

Plot missingness

Description

Plot missingness

Usage

mplot3_missing(
  x,
  feat.names = NULL,
  case.names = NULL,
  main = NULL,
  col.missing = "#FE4AA3",
  show = c("percent", "total"),
  names.srt = 90,
  case.names.x = 0.25,
  case.names.every = NULL,
  theme = rtTheme,
  alpha = 1,
  mar = c(3, 3.5, 5.5, 1),
  oma = c(0.5, 0.5, 0.5, 0.5),
  par.reset = TRUE,
  ...
)

Arguments

x	Data matrix or data.frame
feat.names	Character: Feature names. Defaults to colnames(x)
case.names	Character: Case names. Defaults to rownames(x)
main	Character: Main title
col.missing	Color for missing cases.
show	Character: "percent" or "total". Show percent missing or total missing per column on the x-axis
names.srt	Numeric: Angle of feature names in degrees.
case.names.x	Numeric: x position of case names
case.names.every	Numeric: Show case names every this many cases
theme	Character: Run themes() for available themes
alpha	Numeric: Multiply theme's fg color by this amount
mar	Float, vector, length 4: Margins; see par("mar")
oma	Float, vector, length 4: Outer margins; see par("oma")
par.reset	Logical: If TRUE, reset par setting before exiting.
...	Additional arguments to be passed to theme function

Examples

## Not run: 
dat <- iris
dat[c(1, 5, 17:20, 110, 115, 140), 1] <-
dat[c(12, 15, 55, 73, 100:103), 2] <-
dat[sample(1:150, 25), 4] <- NA
mplot_missing(dat)

## End(Not run)

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.