emcdf: Estimating the population cdf

In CNPS: Nonparametric Statistics

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

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.

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

Author(s)

Jiasheng Zhang, Feng Yu, Yangyang Zhang, Siwei Deng. Tutored by YuKun Liu and Dongdong Xiang.

References

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

Examples

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)

CNPS documentation built on May 25, 2021, 9:06 a.m.