Software Preparations

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.title[
# Software Preparations
]
.subtitle[
## Data Visualization and Analysis in the Era of COVID-19
]
.author[
### Damian Betebenner, Adam VanIwaarden & Nathan Dadey
]
.institute[
### Center for Assessment
]
.date[
### March 3rd, 2022 (updated: April 20th, 2022)
]

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# Required Software

---

# R

## We do all of our data analysis using the [R Software Environment](https://cran.r-project.org/)

- We assume that you all have some familiarity with using R.

- If you don't already have R installed, please go ahead and install it from [CRAN](https://cran.r-project.org/) picking the version that goes with your operating systems.

- If you have R installed but have an older version (pre 4.1), now is a good time to update the version that you're using.

- Many of you familiar with R probably use the [RStudio development environment](https://www.rstudio.com/) instead of the default user interface provided with R.

---

# R Packages

## One of R's greatest strengths is its extensibility.

- One can create their own R packages that contain custom data and code to do just about anything.

- Over the last 15 years, we have done growth analyses for more than two dozen states using R and the [SGP Package](https://www.sgp.io) for calculating student growth percentiles and percentile growth trajectories.

- Packages can be distributed via the [Central R Archive Network](https://cran.r-project.org/web/packages/available_packages_by_name.html) (CRAN). As of today there are 19,014 packages on CRAN.

- Many amazing R packages are currently being built and distributed using [GitHub](www.github.com). Developing and allowing others to install packages from GitHub is by far the best way to do serious data analysis with R.

- This presentation was created using the R package [Xaringan](https://bookdown.org/yihui/rmarkdown/xaringan.html)

- Have any of you created an R package?

---

# Required R packages for this training session

## We will need a few packages for this training session.

- [SGP Package on CRAN](https://cran.rstudio.com/web/packages/SGP/index.html) or the more current [SGP Package on GitHub](https://github.com/CenterForAssessment/SGP)

- [SGPdata Package on CRAN](https://cran.rstudio.com/web/packages/SGPdata/index.html) or the more updated [SGPdata Package on GitHub](https://github.com/CenterForAssessment/SGPdata)

- [cfaTools package on GitHub](https://centerforassessment.github.io/cfaTools/) (There isn't a CRAN version of this package yet.)

---

# Let's install the SGP package

### To install the SGP package from CRAN and GitHub use the following commands (you can copy and past them into your R development environement of choice)

### RStudio has several pull down menu options in its IDE that (essentially) runs the following commands for you.

### CRAN

```r
install.packages("SGP")
```

### GitHub

```r
remotes::install_github("centerforassessment/SGP")
```

---

# Let's install the SGPdata package

### CRAN

```r
install.packages("SGPdata")
```

### GitHub

```r
remotes::install_github("centerforassessment/SGPdata")
```

---

# Let's install the cfaTools package

### Not available on CRAN

### GitHub

```r
remotes::install_github("centerforassessment/cfaTools")
```

---

# Let's install the rest of the packages

```r
install.packages(c("data.table", "VIM", "mice", "miceadds", "ggplot2", "lme4", "merTools", "gghighlight"))
```