Plots for data overview

The function generates two types of plots: i) a heatmap representing the grid. The cells are filled according to the phenotype value of each plot; and ii) boxplots depicting the performance of each selection candidate

# S3 method for class 'comprepcrop'
plot(x, ..., category = "heatmap")

Arguments

x

An object of class comprepcrop

...

Currently not used.

category

A string indicating which plot to build. Options are "heatmap" for plotting the field grid (default), or "boxplot" for plotting the boxplots of phenotypic performance.

See also

ggplot2, prepcrop

Examples

# \donttest{
library(gencomp)
comps = prepcrop(data = potato, gen = "gen", row = "row", col = "col",
                 plt = NULL, effs = c("rep", 'matur'), trait = "yield",
                 direction = "row", verbose = TRUE)
#> 
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plot(comps, category = 'heatmap')

plot(comps, category = 'boxplot')


# }