msdplot: Plot means and standard deviations with a dotplot

In reyzaguirre/st4gi: Statistical tools for genetic improvement

Plot means and standard deviations with a dotplot

Description

Function to plot means and confidence limits.

Usage

msdplot(
  trait,
  groups,
  dfr,
  conf = 0.95,
  dotplot = TRUE,
  sort.means = c("none", "increasing", "decreasing"),
  main.title = NULL,
  color = c("orange", "orange", "black"),
  x.las = 1,
  jf = 0.1,
  hsep = 0.1,
  ...
)

Arguments

trait	The name of the column for the trait to plot.
groups	The name of the column for the grouping factor.
dfr	The name of the data frame.
conf	Probability for the confidence limits or number of standard deviations.
dotplot	Logical. If TRUE, a dotplot is shown.
sort.means	Sort for means. Options are "none", "increasing", and "decreasing", "none" by default.
main.title	Main title.
color	Color for mean symbols, confidence interval lines, and data points.
x.las	x axes labels orientation.
jf	Jitter factor for dots.
hsep	Horizontal separation between the means and the dots.
...	Additional plot arguments.

Details

An alternative to the controversial dynamite plots. If conf is set to a value greater than or equal to 1, then it is interpreted as number of standard deviations.

Value

It returns a plot with the means represented by horizontal lines, a vertical line representing a confidence limit or a number of standard deviations, and alternatively the individual data points.

Author(s)

Raul Eyzaguirre

Examples

# Simulate some data
dfr <- data.frame(y = rnorm(50, sample(40:60, 5), sample(5:10, 5)),
                  g = rep(1:5, 10))
msdplot("y", "g", dfr, lwd = 2, pch = 4)

reyzaguirre/st4gi documentation built on Sept. 17, 2024, 8:44 p.m.