normPlot {berryFunctions}R Documentation

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, berry-b@gmx.de, 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)


[Package berryFunctions version 1.20.1 Index]