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Momocs (version 1.2.9)

plot_table: 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

Run this code
# NOT RUN {
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()
# }

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