# Rsampling -
Resampling Stats functions ported to R

Resampling Stats (http://www.resample.com) is an add-in for running
randomization tests in Excel worksheets. It adopts a simple workflow for
significance tests:

- Define a statistic of interest that can be calculated from a data
table;
- Randomize rows ad/or columns of a data table to simulate a null
hypothesis
- Score the value of the statistic from many randomizations.

The relative frequency distribution of the statistic in the
simulations is then used to estimated the probability of the observed
value be generated by the null process. This is the probability of the
rejection of the null hypothesis be an error (probability of Type I
error).

This package intends to translate this logic for R for teaching
purposes. Keeping the original workflow is favored over performance.

## Installation:

`install.packages("Rsampling")`

Or, for the latest development snapshot:

```
library(devtools)
install_github(repo = 'lageIBUSP/Rsampling')
```

## See also

Rsampling-shiny
for a graphical user-interface in shiny.