emcdf {CNPS} | R Documentation |

## 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 |

### 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)
```

[Package

*CNPS*version 1.0.0 Index]