normPlot: Normal density plot

In berryFunctions: Function Collection Related to Plotting and Hydrology

Normal density plot

Description

Nice plot of normal density distribution

Usage

normPlot(
  mean = 0,
  sd = 1,
  width = 3,
  lines = TRUE,
  quant = TRUE,
  fill = addAlpha("blue", c(2:6, 7:2)/10),
  cumulative = TRUE,
  las = 1,
  main = paste("Normal density with\nmean =", signif(mean, 2), "and sd =", signif(sd,
    2)),
  ylim = lim0(dnorm(mean, mean, sd)),
  ylab = "",
  xlab = "",
  type = "n",
  lty = 1,
  col = par("fg"),
  mar = c(2, 3, 3, 3),
  keeppar = FALSE,
  ...
)

Arguments

mean	average value as in dnorm. DEFAULT: 0
sd	standard deviation. DEFAULT: 1
width	distance (in sd) from plot ends to mean. DEFAULT: 3
lines	Should vertical lines be plotted at mean +- n*sd? DEFAULT: TRUE
quant	should quantile regions be drawn with fill colors? DEFAULT: TRUE
fill	color(s) passed to polygon. DEFAULT: addAlpha("blue",c(2:6,7:2)/10)
cumulative	Should cumulative density distribution be added? DEFAULT: TRUE
las	arguments passed to plot. DEFAULT: 1
main	main as in plot. DEFAULT: paste("Normal density with\nmean =", mean, "and sd =", sd)
ylim	limit for the y axis. DEFAULT: lim0(y)
ylab, xlab	labels for the axes. DEFAULT: ""
type, lty, col	arguments passed to lines. type="l" to add pdf line
mar	margins for plot passed to par. DEFAULT: c(2,3,3,3)
keeppar	should margin parameters be kept instead of being restored to previous value? DEFAULT: FALSE
...	further arguments passed to plot like lwd, xaxs, cex.axis, etc.

Details

This function finds some nice defaults for very quickly plotting a normal distribution by just specifying mean and sd.

Value

None. Used for plotting.

Author(s)

Berry Boessenkool, [e-mail], July 2014

See Also

betaPlot, dnorm, https://cran.r-project.org/package=denstrip, https://cran.r-project.org/view=Distributions

Examples

normPlot()
normPlot(81.7, 11.45)
normPlot(180, 11, quant=FALSE, width=2)

berryFunctions documentation built on May 29, 2024, 4:01 a.m.