plot_table: Plots confusion matrix of sample sizes within $fac

In Momocs: Morphometrics using R

Plots confusion matrix of sample sizes within $fac

Description

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")
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")
gg + coord_flip()

Momocs documentation built on Nov. 13, 2023, 5:07 p.m.