ggtable: Cross-tabulated tables of discrete variables

In GGally: Extension to 'ggplot2'

Cross-tabulated tables of discrete variables

Description

ggtable is a variant of ggduo for quick cross-tabulated tables of discrete variables.

Usage

ggtable(
  data,
  columnsX = 1:ncol(data),
  columnsY = 1:ncol(data),
  cells = c("observed", "prop", "row.prop", "col.prop", "expected", "resid", "std.resid"),
  fill = c("none", "std.resid", "resid"),
  mapping = NULL,
  ...
)

Arguments

data	dataset to be used, can have both categorical and numerical variables
columnsX, columnsY	names or positions of which columns are used to make plots. Defaults to all columns.
cells	Which statistic should be displayed in table cells?
fill	Which statistic should be used for filling table cells?
mapping	additional aesthetic to be used, for example to indicate weights (see examples)
...	additional arguments passed to ggduo (see examples)

Author(s)

Joseph Larmarange

Examples

# small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive

data(tips)
p_(ggtable(tips, "smoker", c("day", "time", "sex")))

# displaying row proportions
p_(ggtable(tips, "smoker", c("day", "time", "sex"), cells = "row.prop"))

# filling cells with standardized residuals
p_(ggtable(tips, "smoker", c("day", "time", "sex"), fill = "std.resid", legend = 1))

# if continuous variables are provided, just displaying some summary statistics
p_(ggtable(tips, c("smoker", "total_bill"), c("day", "time", "sex", "tip")))

# specifying weights
d <- as.data.frame(Titanic)
p_(ggtable(
  d,
  "Survived",
  c("Class", "Sex", "Age"),
  mapping = aes(weight = Freq),
  cells = "row.prop",
  fill = "std.resid"
))

GGally documentation built on May 29, 2024, 8:29 a.m.