CornerstoneR: mosaicPlot – R documentation

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mosaicPlot

Mosaic Plot

Description

Plots (extended) mosaic displays via mosaic. The last response variable is highlighted. A high-dimensional contingency table is calculated via structable from the given dataset. Flat contingency table splits predictors horizontally and optional responses vertically.

Usage

mosaicPlot(
  dataset = cs.in.dataset(),
  preds = cs.in.predictors(),
  resps = cs.in.responses(),
  return.results = FALSE,
  ...
)

Arguments

`dataset`	[`data.frame`] Dataset with named columns. The names correspond to predictors and responses.
`preds`	[`character`] Character vector of predictor variables.
`resps`	[`character`] Character vector of response variables.
`return.results`	[`logical(1)`] If `FALSE` the function returns `TRUE` invisibly. If `TRUE`, it returns a `list` of results. Default is `FALSE`.
`...`	[ANY] Additional arguments to be passed to `mosaic` . Please consider possible script variables (`scriptvars`) to prevent duplicates.

Value

Logical [TRUE] invisibly and outputs to Cornerstone or, if return.results = TRUE, list of resulting data.frame objects:

long.contingency

Contingency table in long format.

Examples

# Draw mosaic plot from 'titanic' data:
mosaicPlot(titanic, c("Class", "Age", "Sex", "Survived"))
res = mosaicPlot(titanic, c("Class", "Age"), c("Sex", "Survived"), return.results = TRUE)
print(res)

CornerstoneR

Collection of Scripts for Interface Between 'Cornerstone' and 'R'

v2.0.2

GPL-3

Authors

Gerrith Djaja [aut, cre], Dirk Surmann [aut] (<https://orcid.org/0000-0003-0873-137X>)

Initial release