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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>R, RStudio - understanding Packages</title>
<meta charset="utf-8" />
<meta name="author" content="Melinda Higgins" />
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class: center, middle, inverse, title-slide
.title[
# R, RStudio - understanding Packages
]
.subtitle[
## R Workshop: August 24, 2023
]
.author[
### <a href="https://melindahiggins.netlify.app/">Melinda Higgins</a>
]
.date[
### Director Biostatistics & Data Core </br> School of Nursing - Emory University </br>
]
---
# Why Learn R?
* https://www.tiobe.com/tiobe-index/r/
* https://www.tiobe.com/tiobe-index/
* https://r4stats.com/articles/popularity/
### AND Rmarkdown...
* Seamless integration of DATA + CODE + DOCUMENTATION
* See examples [https://rmarkdown.rstudio.com/gallery.html](https://rmarkdown.rstudio.com/gallery.html)
* Many output formats [https://rmarkdown.rstudio.com/formats.html](https://rmarkdown.rstudio.com/formats.html)
* Learn more at [https://rmarkdown.rstudio.com/lesson-1.html](https://rmarkdown.rstudio.com/lesson-1.html)
---
# R vs Other Stats Software
.pull-left[
## R
* bare bones
* takes up very little memory
* powerful base packages
* FREE/Open Source
]
.pull-right[
## SPSS, SAS examples
* Have to buy base ($$)
* AND Almost always have to buy add-ons, gets expensive $$
* Have to know what you want ahead of time
* Sometimes end up with more than you need
]
---
# My SAS License Includes:
<img src="sas_packages.png" width="70%" />
---
# My SPSS License Includes:
<img src="spss_packages.png" width="50%" />
---
# R - Base R Packages
.pull-left[
```r
sessionInfo()
```
]
.pull-right[
<img src="sessionInfo01.png" width="100%" />
]
.footnote[Add package(s) as you need them...]
---
# To add functionality to R - install/load Packages
### FIRST INSTALL Package(s)
.pull-left[
<img src="install_packages01.png" width="60%" />
]
.pull-right[
<img src="install_packages02.png" width="90%" />
]
---
# List Packages Installed on Your Computer
.pull-left[
<img src="packages_list_user.png" width="100%" />
]
.pull-right[
<img src="packages_list_system.png" width="100%" />
]
---
### SECOND - LOAD Package(s) into Current R Session
.pull-left[
Before you can use the functions in the package installed on your computer, you must load it into your current "R session" - only loaded as needed...
```r
# load tidyverse
library(tidyverse)
# run sessionInfo() again
# now how many packages are "attached"
# under "other attached packages"
sessionInfo()
```
]
.pull-right[
<img src="sessionInfo02.png" width="100%" />
]
---
# Where to get R Packages - CRAN
<iframe src="https://cran.r-project.org/" width="100%" height="400px" data-external="1"></iframe>
.footnote[[https://cran.r-project.org/](https://cran.r-project.org/)]
---
# Where to get R Packages - Bioconductor
<iframe src="https://www.bioconductor.org/" width="100%" height="400px" data-external="1"></iframe>
.footnote[[https://www.bioconductor.org/](https://www.bioconductor.org/)]
---
# Where to get R Packages - Github, Local, Others...
[https://github.com/search?l=R&q=packages&type=Repositories](https://github.com/search?l=R&q=packages&type=Repositories)
<img src="GithubRPackages_Aug2023.png" width="100%" />
---
# Do Your Research
* Always research your packages - like any other "tool"
* has it be validated?
* has it been published?
* has is it been used/accepted in your research field or application?
--
* Check download stats: [https://hadley.shinyapps.io/cran-downloads/](https://hadley.shinyapps.io/cran-downloads/)
--
* Check CRAN: e.g. `tidyverse` [https://cran.r-project.org/web/packages/tidyverse/index.html](https://cran.r-project.org/web/packages/tidyverse/index.html):
* check date last updated
* how many versions
* how long has it existed
--
* Check Github repo if exists, check issues:
* `tidyverse` [https://github.com/tidyverse/tidyverse](https://github.com/tidyverse/tidyverse)
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