plot_CV: Plots a cross-validation table as an heatmap

In MomX/Momocs: Morphometrics using R

Plots a cross-validation table as an heatmap

Description

Either with frequencies (or percentages) plus marginal sums, and values as heatmaps. Used in Momocs for plotting cross-validation tables but may be used for any table (likely with freq=FALSE).

Usage

plot_CV(
  x,
  freq = FALSE,
  rm0 = FALSE,
  pc = FALSE,
  fill = TRUE,
  labels = TRUE,
  axis.size = 10,
  axis.x.angle = 45,
  cell.size = 2.5,
  signif = 2,
  ...
)

## Default S3 method:
plot_CV(
  x,
  freq = FALSE,
  rm0 = FALSE,
  pc = FALSE,
  fill = TRUE,
  labels = TRUE,
  axis.size = 10,
  axis.x.angle = 45,
  cell.size = 2.5,
  signif = 2,
  ...
)

## S3 method for class 'LDA'
plot_CV(
  x,
  freq = TRUE,
  rm0 = TRUE,
  pc = TRUE,
  fill = TRUE,
  labels = TRUE,
  axis.size = 10,
  axis.x.angle = 45,
  cell.size = 2.5,
  signif = 2,
  ...
)

Arguments

x	a (cross-validation table) or an LDA object
freq	logical whether to display frequencies (within an actual class) or counts
rm0	logical whether to remove zeros
pc	logical whether to multiply proportion by 100, ie display percentages
fill	logical whether to fill cell according to count/freq
labels	logical whether to add text labels on cells
axis.size	numeric to adjust axis labels
axis.x.angle	numeric to rotate x-axis labels
cell.size	numeric to adjust text labels on cells
signif	numeric to round frequencies using signif
...	useless here

Value

a ggplot object

See Also

LDA, plot.LDA, and (pretty much the same) plot_table.

Examples

h <- hearts %>%
     fgProcrustes(0.01) %>% coo_slide(ldk=2) %T>% stack %>%
     efourier(6, norm=FALSE) %>% LDA(~aut)

h %>% plot_CV()
h %>% plot_CV(freq=FALSE, rm0=FALSE, fill=FALSE)
# you can customize the returned gg with some ggplot2 functions
h %>% plot_CV(labels=FALSE, fill=TRUE, axis.size=5) + ggplot2::ggtitle("A confusion matrix")

# or build your own using the prepared data_frame:
df <- h %>% plot_CV() %$% data
df

# you can even use it as a cross-table plotter
bot$fac %>% table %>% plot_CV()

MomX/Momocs documentation built on Nov. 18, 2023, 10:53 p.m.