Plot cumulative distribution function

DESCRIPTION:

Plot cumulative distribution function for a set of data. This is a generic function; see for a version for resamp objects.

USAGE:

plotCDF(x, weights, cumWeights, new=T, ...) 

REQUIRED ARGUMENTS:

x
a vector of numeric data.

OPTIONAL ARGUMENTS:

weights
a vector of weights; if supplied then a cumulative distribution function is plotted for a weighted distribution, with probability weights[i] (after normalizing to sum to 1) on observation x[i].
cumWeights
vector of cumulative weights; if supplied then x must be sorted, and the last cumulative weight should equal 1.
new
logical, if TRUE (the default) then create a new plot, else add to the existing plot.
...
additional arguments, to pass to graphical functions plot, lines, and segments.

VALUE:

A list (with the invisible flag set to prevent printing), with components
x
sorted values of x
y
value of the empirical distribution function at values of x; cumulative weights.

SEE ALSO:

, , .

EXAMPLES:

x <- sort(runif(10)) 
plotCDF(x) 
plotCDF(x,weights=1:10) 
plotCDF(x,weights=10:1) 
cw <- c(sort(runif(9)), 1) 
plotCDF(x,cw=cw)