densityplot: Kernel Density Plot

In mbtyers/MTfuncs: What the package does (short line)

Description

Produces a kernel density plot of up to five vectors (this can be biggerized)

Usage

densityplot(a, b, c = NULL, d = NULL, e = NULL, xlab = "",
  ylab = "Density", main = "", lty = 0, lwd = 2, col = 1,
  labels = NULL, yinfl = 1.4, showN = TRUE, bwall = NULL, ...)

Arguments

a	Input vector
b	Input vector
c	Input vector
d	Input vector
e	Input vector
xlab	Just like usual
ylab	Just like usual
main	Just like usual
lty	Line type. Accepts one value or a vector of values for each line. Specifying zero will automatically generate one line type for each line.
lwd	Line width. Accepts one value or a vector of values for each line. Specifying zero will automatically generate one line width for each line.
col	Line color. Accepts one value or a vector of values for each line. Specifying zero will automatically generate one line color for each line.
labels	A vector of labels for the legend.
yinfl	Inflation factor for determining plotting window size. Setting yinfl=1 will use the maximum density value. Setting it slightly higher (the default value is 1.4) allows more space for a legend.
showN	Whether to include sample sizes in the legend. Defaults to TRUE.
...	Additional plotting arguments

Author(s)

Matt Tyers

Examples

a <- rnorm(100)
b <- rnorm(100)
c <- rnorm(100,1,1)
d <- rnorm(100,0,2)
densityplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"))
densityplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"),col=0,lty=1)
cols <- rainbow(4)
densityplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"),col=cols,lty=1,yinfl=1)

a <- rnorm(10)
b <- rnorm(20)
c <- rnorm(100,1,1)
d <- rnorm(100,0,2)
densityplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"),col=0,lty=1)
densityplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"),col=0,lty=1,bwall=.4)

mbtyers/MTfuncs documentation built on May 22, 2019, 12:58 p.m.