ecdfofhist: Empirical Cumulative Distribution Function From a Histogram. In HistogramTools: Utility Functions for R Histograms

Description

Computes an approximate empirical cumulative distribution function of a data set given a binned histogram representation of that dataset.

Usage

 `1` ```HistToEcdf(h, method="constant", f=0, inverse=FALSE) ```

Arguments

 `h` A histogram object (created by `hist`) representing a pre-binned dataset on which we'd like to calculate an ECDF. `method` specifies the interpolation method to be used in call to `approxfun()`. Choices are `"linear"` or `"constant"`. `f` if `method="constant"` a number between 0 and 1 inclusive, indicating a compromise between left- and right-continuous step functions. See `?approxfun` `inverse` if `TRUE` return the inverse Ecdf.

Details

This function approximates the e.c.d.f. (empirical cumulative distribution function) of a data set given a binned histogram representation of that data set.

Author(s)

`histogramtools-package`, `ecdf`, `approxfun`, and `hist`.

Examples

 ```1 2``` ```h <- hist(runif(100), plot=FALSE) plot(HistToEcdf(h)) ```

Example output

```
```

HistogramTools documentation built on May 2, 2019, 1:08 p.m.