jamesmartherus/anesr

Easy access to ANES data in R

anesr: Easy access to ANES data in R

The American National Election Studies are one of the most important sources of data for political scientists. anesr provides easy access to ANES data for R users. anesr includes tidy versions of all ANES pilot and time series studies as compact, rda objects. Once the package is installed and loaded, any dataset can be accessed using the data() function. anesr also includes documentation for some studies in tidy format. Documentation files include descriptions, coding, and marginals or summary statistics for all variables in the dataset.

Installation

To install anesr, use the install_github function from the devtools package:

library(devtools)
install_github("jamesmartherus/anesr")

Examples

library(anesr)

data(package="anesr") #View a list of available datasets

data(timeseries_cum) #Load Time Series Cumulative File (1948-2016)
data(timeseries_cum_doc) #Load documentation for the Time Series Cumulative File

data(pilot_2018) #Load 2018 Pilot Study

Terms of Use

By using these data, you agree to the terms of use established by the ANES:

• Use these datasets solely for research or statistical purposes and not for investigation of specific survey respondents.
• Make no use of the identity of any survey respondent(s) discovered intentionally or inadvertently, and to advise ANES of any such discovery ([email protected])
• Cite ANES data and documentation in your work that makes use of the data and documentation. Authors of publications based on ANES data should send citations of their published works to ANES for inclusion in our bibliography of related publications.
• You acknowledge that the original collector of the data, ANES, and the relevant funding agency/agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

ANES is not responsible for any errors in these datasets - any mistakes are mine.

Acknowledgments

• The ANES is administered through a collaboration between Stanford University and the University of Michigan with funding by the National Science Foundation.
• anesr is inspired by Kieran Healy's excellent gssr package. I used Kieran's SDA parser to generate documentation files. You should follow Kieran on Twitter.

anesr's Issues

Is there a reason 2020 is not included in the cumulative file?

When I load the cumulative file data(timeseries_cum) I notice that the max year for the year variable VCF0004 is 2016. Is there a reason the 2020 data is not included in that cumulative file? Thanks for your work on this.

no data yet?

I recently started doing some work with the ANES surveys and was excited to see this handy way to access the various datasets in R. However, I just followed your README installation instructions and everything seemed to go well up to the actual data(dataset_name) command, which failed. Here's my jupyterlab notebook:

The commented-out commands ran successfully per your README. The data(package="anesr") command then worked as expected, listing 46 packages (collapsed in this screenshot), but as you can see, the data commands for both datasets and docs produced a “data set ‘timeseries_2016’ not found” response.

Is the data not there yet? or maybe there is a step in the process I've left out?

Filter Error with Time Series 2020 Data

Hi there,

Ran into the following issue when filtering the timeseries_2020 data. I had no issues using the cumulative time series file with what were essentially the same commands.

After loading up dplyr, devtools, and anesr, I ran the following commands:

data(timeseries_2020) datadems2020 <- timeseries_2020 %>% filter(V201228 == 1)

This resulted in the following:

That being said, anything that involves playing with the data seems to result in that same error:

This could very well be user error, I am quite rusty when it comes to R, but reaching out in case it is a data or package issue.

Thank you.