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pollster: Calculate Crosstab and Topline Tables of Weighted Survey Data

Calculate common types of tables for weighted survey data. Options include topline and (2-way and 3-way) crosstab tables of categorical or ordinal data as well as summary tables of weighted numeric variables. Optionally, include the margin of error at selected confidence intervals including the design effect. The design effect is calculated as described by Kish (1965) <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form of tibbles (simple data frames). This package conveniently handles labelled data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey design is not supported at this time.

Version: 0.1.6
Depends: R (≥ 2.10)
Imports: dplyr (≥ 0.8.0), stringr (≥ 1.0.0), tidyr (≥ 1.1.0), labelled (≥ 2.0.0), forcats (≥ 1.0.0), rlang (≥ 0.4.5)
Suggests: ggplot2 (≥ 3.3.0), knitr, rmarkdown
Published: 2023-05-12
DOI: 10.32614/CRAN.package.pollster
Author: John D. Johnson [aut, cre]
Maintainer: John D. Johnson <john.d.johnson at marquette.edu>
License: CC0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pollster results

Documentation:

Reference manual: pollster.pdf
Vignettes: crosstab3way
crosstabs
toplines

Downloads:

Package source: pollster_0.1.6.tar.gz
Windows binaries: r-devel: pollster_0.1.6.zip, r-release: pollster_0.1.6.zip, r-oldrel: pollster_0.1.6.zip
macOS binaries: r-release (arm64): pollster_0.1.6.tgz, r-oldrel (arm64): pollster_0.1.6.tgz, r-release (x86_64): pollster_0.1.6.tgz, r-oldrel (x86_64): pollster_0.1.6.tgz
Old sources: pollster archive

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.