mplot3_conf: Plot confusion matrix

In egenn/rtemis: Machine Learning and Visualization

Plot confusion matrix

Description

Plots confusion matrix and classification metrics

Usage

mplot3_conf(
  object,
  main = "auto",
  xlab = "Reference",
  ylab = "Predicted",
  plot.metrics = TRUE,
  mod.name = NULL,
  oma = c(0, 0, 0, 0),
  dim.main = NULL,
  dim.lab = 1,
  dim.in = 4,
  dim.out = -1,
  font.in = 2,
  font.out = 1,
  cex.main = 1.2,
  cex.in = 1.2,
  cex.lab = 1.2,
  cex.lab2 = 1.2,
  cex.lab3 = 1,
  cex.out = 1,
  col.main = "auto",
  col.lab = "auto",
  col.text.out = "auto",
  col.bg = "auto",
  col.bg.out1 = "auto",
  col.bg.out2 = "auto",
  col.text.hi = "auto",
  col.text.lo = "auto",
  show.ba = TRUE,
  theme = getOption("rt.theme", "white"),
  mid.col = "auto",
  hi.color.pos = "#18A3AC",
  hi.color.neg = "#C23A70",
  autolabel = letters,
  par.reset = TRUE,
  pdf.width = 7,
  pdf.height = 7,
  filename = NULL,
  ...
)

Arguments

object	Either a classification rtMod, or a table/matrix/data.frame confusion matrix where rows are the reference classes and columns are the predicted classes.
main	Character: Plot title.
xlab	Character: x-axis label.
ylab	Character: y-axis label.
plot.metrics	Logical: If TRUE, draw classification metrics next to confusion matrix.
mod.name	Character: Name of the algorithm used to make predictions. If NULL, will look for object$mod.name.
oma	Numeric, vector, length 4: Outer margins.
dim.main	Numeric: Height for title.
dim.lab	Numeric: Height for labels.
dim.in	Numeric: Height/Width for confusion matrix cells.
dim.out	Numeric: Height for metrics cells. Default = -1, which autoadjusts depending on number of output classes.
font.in	Integer: The font parameter for confusion matrix cells.
font.out	Integer: The font parameter for metrics cells.
cex.main	Numeric: The cex parameter for the main title.
cex.in	Numeric: The cex parameter for confusion matrix cells.
cex.lab	Numeric: The cex parameter for first line of label cells.
cex.lab2	Numeric: The cex parameter for second line of label cells.
cex.lab3	Numeric: The cex parameter for classification metrics.
cex.out	Numeric: The cex parameter for metrics cells.
col.main	Color for title. Default = "auto", determined by theme.
col.lab	Color for labels. Default = "auto", determined by theme.
col.text.out	Color for metrics cells' text. Default = "auto", determined by theme.
col.bg	Color for background. Default = "auto", determined by theme.
col.bg.out1	Color for metrics cells' background (row1). Default = "auto", determined by theme.
col.bg.out2	Color for metrics cells' background (row2). Default = "auto", determined by theme.
col.text.hi	Color for high confusion matrix values. Default = "auto", determined by theme.
col.text.lo	Color for low confusion matrix values. Default = "auto", determined by theme.
show.ba	Logical: If TRUE, show Balanced Accuracy at bottom right corner.
theme	Character: "light", or "dark". Set to options("rt.theme"), if set, otherwise "light"
mid.col	Color: The mid color for the confusion matrix. Default = "auto", determined by theme.
hi.color.pos	Color: The hi color for correct classification.
hi.color.neg	Color: The hi color for missclassification.
autolabel	Character vector to be used to generate autolabels when using rtlayout with autolabel = TRUE.
par.reset	Logical: If TRUE, reset par before exit.
pdf.width	Numeric: PDF width, if filename is set.
pdf.height	Numeric: PDF height, if filename is set.
filename	Character: If specified, save plot to this path.
...	Additional arguments passed to theme.

Details

This function uses its multiple cex args instead of the theme's cex parameter

Value

List of metrics, invisibly

Author(s)

E.D. Gennatas

Examples

## Not run: 
true <- c("alpha", "alpha", "alpha", "alpha", "beta", "beta", "beta", "beta")
predicted <- c("alpha", "alpha", "alpha", "beta", "beta", "alpha", "alpha", "beta")
mplot3_conf(table(predicted, true))

## End(Not run)

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.