ggcv: GGPlot the Mean Square Error with Error Bar for +/- 1...

In monoClust: Perform Monothetic Clustering with Extensions to Circular Data

Description

GGPlot the Mean Square Error with Error Bar for +/- 1 Standard Error

Usage

ggcv(
  cv.obj,
  title = "MSE for CV of monothetic clustering",
  xlab = "Number of clusters",
  ylab = "MSE +/- 1 SE",
  type = c("b", "p", "l"),
  linetype = 2,
  err.col = "red",
  err.width = 0.2
)

Arguments

cv.obj	A cv.MonoClust object (output of cv.test()).
title	Overall title for the plot.
xlab	Title for x axis.
ylab	Title for y axis.
type	What type of plot should be drawn. Choosing between "l" (line only), "p" (point only), and "b" (both line and point).
linetype	The line type. See vignette("ggplot2-specs").
err.col	Color of the error bars.
err.width	Width of the bars.

Value

A ggplot2 object.

See Also

Plot using base R plot.cv.MonoClust()

Examples

library(cluster)
data(ruspini)

# 10-fold cross-validation
cptable <- cv.test(ruspini, minnodes = 2, maxnodes = 4)
ggcv(cptable)

monoClust documentation built on Feb. 15, 2021, 5:07 p.m.