cdfplot: CDF plot

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

Description

Produces an empirical CDF plot of up to five vectors (this can be biggerized)

Usage

cdfplot(a, b = NULL, c = NULL, d = NULL, e = NULL, lty = 0, lwd = 1,
  col = 1, xlab = "", ylab = "Cumulative Proportion", main = "",
  labels = NULL, yinfl = 1, showN = TRUE, ...)

Arguments

a	Input vector
b	Input vector
c	Input vector
d	Input vector
e	Input vector
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.
xlab	Just like usual
ylab	Just like usual
main	Just like usual
labels	A vector of labels for the legend.
yinfl	Inflation factor for determining plotting window size. Setting yinfl=1 will use the maximum CDF value (1). Setting it slightly higher 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)
cdfplot(a,b,c,d,labels=c("apples","bananas","cucumbers","durians"),lty=1,col=1:4)

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