---
title: "Understanding Time (Applications)"
author: J. Hathaway
params:
  day: 16
  ptitle: true
  pbackground: true
  dtype: "none"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE)

if (params$day %% 2 == 0) md_intro_format <- "even_intro_format.Rmd"
if (params$day %% 2 == 1) md_intro_format <- "odd_intro_format.Rmd"

```

```{r child=md_intro_format}

```



# Making new R package friends {data-background=#e8d725}

## The challenge

> 1. Pick one of the R packages on the following slide
> 2. Read material on the R package
> 3. Build a working script that demonstrates the use of the R package.
> 4. Write up a short presentation on the package to show the class.

## The packages

> - [rio: The double click of data import](https://cran.r-project.org/web/packages/rio/vignettes/rio.html#data_import)
> - [janitor: making the cleaning easy](https://github.com/sfirke/janitor)
> - [tidytext: helps for text mining](https://github.com/juliasilge/tidytext)
> - [fst: yes it is fast](http://www.fstpackage.org/)
> - [glue: why should we paste](https://github.com/tidyverse/glue)
> - [reinstallr: getting your packages back](https://github.com/calligross/reinstallr)
> - [multidplyr: we need more than one dplyr?](http://www.business-science.io/code-tools/2016/12/18/multidplyr.html)
> - [skimr: pipeable summary statistics](https://github.com/ropenscilabs/skimr)
> - [fs: file system interface](https://github.com/r-lib/fs)






