Software
Visualization
dotwhisker
Solt, Frederick, and Yue Hu. 2015. dotwhisker: Dot-and-Whisker Plots of Regression Results. The Comprehensive R Archive Network (CRAN).
dotwhisker is an R package for quickly and easily generating dot-and-whisker plots of regression results, either directly from model objects or from tidy data frames. It provides a convenient way to create highly customizable plots for presenting and comparing statistics. It can be used to plot coefficients or other estimates (e.g., predicted probabilities) within a model or compare them across different models. The estimates are presented as dots with confidence interval whiskers.
To install:
- the latest released version:
install.packages("dotwhisker"). - the latest development version:
remotes::install_github("fsolt/dotwhisker").
More details are available at:
https://cran.r-project.org/web/packages/dotwhisker/vignettes/dotwhisker-vignette.html
interplot
Solt, Frederick, and Yue Hu. 2015. interplot: Plot the Coefficients of Variables in Interaction Terms. The Comprehensive R Archive Network (CRAN).
interplot is a tool for plotting the conditional coefficients (“marginal effects”) of variables included in multiplicative interaction terms. The function plots the changes in the coefficient of one variable in a two-way interaction term conditional on the value of the other included variable. The resulting plot also includes simulated 95% confidential intervals of these coefficients.
To install:
- the latest released version:
install.packages("interplot"). - the latest development version:
remotes::install_github("sammo3182/interplot").
More details are available at:
http://cran.r-project.org/web/packages/interplot/vignettes/interplot-vignette.html
Reproducible Data Retrieval
ropercenter
Solt, Frederick. 2017. ropercenter: Reproducible Data Retrieval from the Roper Center Data Archive. The Comprehensive R Archive Network (CRAN).
The ropercenter package provides programmatic, reproducible access to Roper Center datasets from within R for registered users at the Roper Center’s member institutions.
To install:
- the latest released version:
install.packages("ropercenter") - the latest development version:
remotes::install_github("fsolt/ropercenter")
For more details, check out the vignette.
Please recall that by using Roper Center services, you accept the Center’s Terms and Conditions.
icpsrdata
Solt, Frederick, and Kellen Gracey. 2016. icpsrdata: Reproducible Data Retrieval from the ICPSR Archive. The Comprehensive R Archive Network (CRAN).
icpsrdata is an R package that provides reproducible, programmatic access to datasets stored in the Inter-university Consortium for Political and Social Research archive.
To install:
- the latest released version:
install.packages("icpsrdata") - the latest development version:
remotes::install_github("fsolt/icpsrdata")
For more details, check out the vignette.
Please recall that by using ICPSR’s services, you accept its Terms and Conditions.
pewdata
Solt, Frederick, and Yue Hu. 2016. pewdata: Reproducible Retrieval of Pew Research Center Datasets. The Comprehensive R Archive Network (CRAN).
pewdata is an R package that provides reproducible, programmatic access to survey datasets from the Pew Research Center.
To install:
- the latest released version:
install.packages("pewdata") - the latest development version:
remotes::install_github("fsolt/pewdata")
For more details, check out the vignette.
Please note that by downloading data from the Pew Research Center, you accept the Center’s Terms and Conditions.
gesisdata
The GESIS Data Archive makes available thousands of invaluable social scientific surveys, including, among many others, the ALLBUS, the European Values Survey, the Eurobarometer, and the International Social Survey Program. Researchers taking advantage of these datasets, however, are caught in a bind. The archive’s terms and conditions bar dissemination of downloaded datasets to third parties. But to ensure that one’s work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one employed.
The gesisdata package cuts this knot by providing programmatic, reproducible access to specified GESIS datasets from within R for registered users.
To install:
- the latest released version:
install.packages("gesisdata") - the latest development version:
remotes::install_github("fsolt/gesisdata")
For more details, check out the vignette.
Please recall that by using the GESIS Data Archive, you accept its terms and conditions.