README.Rmd

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output: github_document
---

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knitr::opts_chunk$set(
  collapse = TRUE,
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  fig.path = "man/figures/README-",
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# csppData: The Correlates of State Policy Project Dataset <img src="figures/csppData.png" height="150" align="right"/>


```{r echo=FALSE, results="hide", message=FALSE, warning=F}
library("badger")

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```{r, echo = FALSE, results='asis'}
cat(
	badge_cran_release("csppData", "blue")
	,badge_cran_download("csppData", "grand-total", "blue")
)

```
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**csppData** is an R package that contains the Correlates of State Policy data (version 2.5) assembled by Matt Grossmann, Marty P. Jordan, and Josh McCrain. Use the associated [cspp](https://github.com/correlatesstatepolicy/cspp) package to subset the data by states and years, create map + panel visualizations, export citations to common file formats (e.g., .bib), and more. An associated [web application](https://cspp.ippsr.msu.edu/cspp/) that enables easy visualization, manipulation, and exploration of the data is also available.

## The Correlates of State Policy

[The Correlates of State Policy Project](http://ippsr.msu.edu/public-policy/correlates-state-policy) compiles more than 3,000 variables across 50 states (+ DC) from 1900-2020. The variables cover 16 broad categories:

* Demographics and Population
* Economic and Fiscal Policy
* Government
* Elections
* Policy Scores and Public Opinion
* Criminal Justice and the Legal System
* Education
* Healthcare and Health Insurance
* Welfare Policy
* Rights and Anti-Discrimination Protections
* Environment
* Drug and Alcohol Policy
* Gun Control
* Labor
* Transportation
* Regulatory Policy

## Downloading the Package

```{r eval=F}
# Install from CRAN:
install.packages("csppData")

# Install from github (may contain more recent version than the CRAN package)
library(devtools)
install_github("correlatesstatepolicy/csppData")

```

## Loading the CSPP Data

Note that the `cspp` package imports the dataset automatically and provides a number of helpful functions when working with it.

```{r eval=F}
# CSPP codebook
data("codebook")

# CSPP data
data("correlates")

```

# Citation

CSPP Data

> Grossmann, M., Jordan, M. P. and McCrain, J. (2021) “The Correlates of State Policy and the Structure of State Panel Data,” State Politics & Policy Quarterly. Cambridge University Press, pp. 1-21. doi: 10.1017/spq.2021.17.

Package

> Caleb Lucas and Joshua McCrain (2020). csppData: The Correlates of State Policy Project Dataset.
R package version 0.1.4

# Contact

[**Caleb Lucas**](https://caleblucas.com/) - Postdoc, IPPSR, Michigan State University ([Twitter](https://twitter.com/caleblucas)) <br />
[**Josh McCrain**](http://joshuamccrain.com) - Assistant Professor, University of Utah ([Twitter](https://twitter.com/joshmccrain))