VIM: rugNA – R documentation

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Documentation

VIM

rugNA

Rug representation of missing/imputed values

Description

Add a rug representation of missing/imputed values in only one of the variables to scatterplots.

Usage

rugNA(
  x,
  y,
  ticksize = NULL,
  side = 1,
  col = "red",
  alpha = NULL,
  miss = NULL,
  lwd = 0.5,
  ...
)

Arguments

`x, y`	numeric vectors.
`ticksize`	the length of the ticks. Positive lengths give inward ticks.
`side`	an integer giving the side of the plot to draw the rug representation.
`col`	the color to be used for the ticks.
`alpha`	the alpha value (between 0 and 1).
`miss`	a `data.frame` or `matrix` with two columns and logical values. If `NULL`, `x` and `y` are searched for missing values, otherwise, the first column of `miss` is used to determine the imputed values in `x` and the second one for the imputed values in `y`.
`lwd`	the line width to be used for the ticks.
`...`	further arguments to be passed to `graphics::Axis()`.

Details

If side is 1 or 3, the rug representation consists of values available in x but missing/imputed in y. Else if side is 2 or 4, it consists of values available in y but missing/imputed in x.

Author(s)

Andreas Alfons, modifications by Bernd Prantner

Examples

data(tao, package = "VIM")
## for missing values
x <- tao[, "Air.Temp"]
y <- tao[, "Humidity"]
plot(x, y)
rugNA(x, y, side = 1)
rugNA(x, y, side = 2)

## for imputed values
x_imp <- kNN(tao[, c("Air.Temp","Humidity")])
x <- x_imp[, "Air.Temp"]
y <- x_imp[, "Humidity"]
miss <- x_imp[, c("Air.Temp_imp","Humidity_imp")]
plot(x, y)
rugNA(x, y, side = 1, col = "orange", miss = miss)
rugNA(x, y, side = 2, col = "orange", miss = miss)

VIM

Visualization and Imputation of Missing Values

v6.1.0

GPL (>= 2)

Authors

Matthias Templ [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut]

Initial release