normPlot {berryFunctions} | R Documentation |
Nice plot of normal density distribution
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, ... )
mean |
average value as in |
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 |
color(s) passed to |
cumulative |
Should cumulative density distribution be added? DEFAULT: TRUE |
las |
arguments passed to |
main |
main as in |
ylim |
limit for the y axis. DEFAULT: lim0(y) |
ylab, xlab |
labels for the axes. DEFAULT: "" |
type, lty, col |
arguments passed to |
mar |
margins for plot passed to |
keeppar |
should margin parameters be kept instead of being restored to previous value? DEFAULT: FALSE |
... |
further arguments passed to |
This function finds some nice defaults for very quickly plotting a normal distribution by just specifying mean and sd.
None. Used for plotting.
Berry Boessenkool, berry-b@gmx.de, July 2014
betaPlot
, dnorm
,
https://cran.r-project.org/package=denstrip,
https://cran.r-project.org/view=Distributions
normPlot() normPlot(81.7, 11.45) normPlot(180, 11, quant=FALSE, width=2)