ggtable(): Cross-tabulated tables

Joseph Larmarange

May 16, 2016

library(GGally)
#> Loading required package: ggplot2
#> Registered S3 method overwritten by 'GGally':
#>   method from   
#>   +.gg   ggplot2

GGally::ggtable()

The purpose of this function is to quickly plot cross-tabulated tables of discrete variables.

Basic example

To display tables with the number of observations, simply indicate variables to present in columns and in rows.

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

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

Proportions

The cells argument allows you to control what to display. For proportions of the total, row proportions or columns proportions, simply use "prop", "row.prop" or "col.prop".

ggtable(tips, "smoker", c("day", "time", "sex"), cells = "prop") + ggtitle("Proportions of total")

ggtable(tips, "smoker", c("day", "time", "sex"), cells = "row.prop") + ggtitle("Row proportions")

ggtable(tips, "smoker", c("day", "time", "sex"), cells = "prop") + ggtitle("Column proportions")

Filling cells with residuals

Chi-square standardized residuals indicates which cells are over- or underrepresented compared to what would be expected under the independence hypothesis. If the standardized residual is less than -2, the cell’s observed frequency is less than the expected frequency. Greater than 2 and the observed frequency is greater than the expected frequency. Values lower than -3 or higher than 3 indicates a strong effect.

To fill cells with standardized residuals, simply indicate fill = "std.resid".

ggtable(tips, "smoker", c("day", "time", "sex"), fill = "std.resid")

Using weights

You can easily indicate weights to take into account with the weight aesthetic.

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

Missing with continuous variables

Although ggtable() is mainly intended to be used with discrete variables, you can also indicate continuous variables. In such case, some summary statistics are displayed.

ggtable(tips, c("smoker", "total_bill"), c("day", "time", "sex", "tip"))

If you need more customization of the output, please refer to ggduo().