Plots confusion matrix of sample sizes within $fac

An utility that plots a confusion matrix of sample size (or a barplot) for every object with a $fac. Useful to visually how large are sample sizes, how (un)balanced are designs, etc.

Usage

plot_table(x, fac1, fac2 = fac1, rm0 = FALSE)

Arguments

x

any object with a $fac slot (Coo, Coe, PCA, etc.)

fac1

the name or id of the first factor

fac2

the name of id of the second factor

rm0

logical whether to print zeros

Value

a ggplot2 object

See also

Other plotting functions: coo_arrows(), coo_draw(), coo_listpanel(), coo_lolli(), coo_plot(), coo_ruban(), ldk_chull(), ldk_confell(), ldk_contour(), ldk_labels(), ldk_links(), plot_devsegments()

Examples

plot_table(olea, "var")
#> Warning: `select_()` was deprecated in dplyr 0.7.0.
#> ℹ Please use `select()` instead.
#> ℹ The deprecated feature was likely used in the Momocs package.
#>   Please report the issue at <https://github.com/MomX/Momocs/issues>.

plot_table(olea, "domes", "var")

gg <- plot_table(olea, "domes", "var", rm0 = TRUE)
gg

library(ggplot2)
gg + coord_equal()

gg + scale_fill_gradient(low="green", high = "red")
#> Scale for fill is already present.
#> Adding another scale for fill, which will replace the existing scale.

gg + coord_flip()