CNPS (version 1.0.0)

emcdf: Estimating the population cdf

Description

Finding confidence interval for the population cdf.

Usage

emcdf(x, conf.level = 0.05)

Arguments

x

numeric vector of data values

conf.level

confidence level for the returned confidence interval

Value

A list with following components

sample

the given vector

empirical.cdf

the value of the empirical cdf

Lower

the lower bound of the confidence interval of the empirical cdf

Upper

the upper bound of the confidence interval of the empirical cdf

Details

This "emcdf" constructs the approximation interval according to the central limit theorem. And use "plot(emcdf(data))" will help us draw a plot conveniently.

References

Higgins, J. J. (2004). An introduction to modern nonparametric statistics. Pacific Grove, CA: Brooks/Cole.

Examples

# NOT RUN {
x <- c(7,11,15, 16, 20, 22, 24, 25, 29, 33, 34, 37, 41, 42, 49, 57, 66, 71, 84, 90)
em <- emcdf(x)
plot(em)
# }