testing.Rmd

# Testing

*Is this code doing what I think its doing? Is this data correct?*

Most code should be accompanied by some form of testing. This scales with the
size and type of project. Your work should generally accompanied with testing
code or outputs that show that your models behave appropriately, are
statisically sound, that your code is running as you expect and your data is
checked for quality.

## Learn

-   [Test driven data
    analysis](http://www.tdda.info/pages/table-of-contents.html#table-of-contents)
    is a neat blog on this subject.
-   There's a [testing chapter in the R Packages
    book](http://r-pkgs.had.co.nz/tests.html).
-   The vingettes and README files of the packages below are useful.

## Install

-   R packages: [**assertr**](https://github.com/ropenscilabs/assertr/) or
    [**validate**](http://www.markvanderloo.eu/yaRb/2016/03/25/easy-data-validation-with-the-validate-package/)
    for testing that data meets criteria
    [**visdat**](https://github.com/njtierney/visdat) for visually inspecting
    tabular data. (though there are many ways to plot your data for inspection).
    [**testthat**]() for functions and R packages.