| quantile.ewcdf {spatstat} | R Documentation |
Compute quantiles of a weighted empirical cumulative distribution function.
## S3 method for class 'ewcdf' quantile(x, probs = seq(0, 1, 0.25), names = TRUE, ...)
x |
A weighted empirical cumulative distribution function
(object of class |
probs |
probabilities for which the quantiles are desired. A numeric vector of values between 0 and 1. |
names |
Logical. If |
... |
Ignored. |
This is a method for the generic quantile
function for the class ewcdf of empirical weighted cumulative
distribution functions.
The quantile for a probability p is computed
as the right-continuous inverse of the cumulative
distribution function.
Numeric vector of quantiles, of the same length as probs.
Adrian Baddeley Adrian.Baddeley@uwa.edu.au http://www.maths.uwa.edu.au/~adrian/, Rolf Turner r.turner@auckland.ac.nz and Kevin Ummel.
z <- rnorm(50) w <- runif(50) Fun <- ewcdf(z, w) quantile(Fun, c(0.95,0.99))