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likert: Analysis and Visualization Likert Items

An approach to analyzing Likert response items, with an emphasis on visualizations. The stacked bar plot is the preferred method for presenting Likert results. Tabular results are also implemented along with density plots to assist researchers in determining whether Likert responses can be used quantitatively instead of qualitatively. See the likert(), summary.likert(), and plot.likert() functions to get started.

Version: 1.3.5
Depends: R (≥ 3.0), ggplot2, xtable
Imports: psych, reshape2, gridExtra, grid, plyr
Suggests: devtools, shiny
Published: 2016-12-31
Author: Jason Bryer, Kimberly Speerschneider
Maintainer: Jason Bryer <jason at bryer.org>
BugReports: https://github.com/jbryer/likert/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://jason.bryer.org/likert, http://github.com/jbryer/likert
NeedsCompilation: no
Materials: NEWS
CRAN checks: likert results

Documentation:

Reference manual: likert.pdf
Vignettes: Examples of likert Tables

Downloads:

Package source: likert_1.3.5.tar.gz
Windows binaries: r-devel: likert_1.3.5.zip, r-release: likert_1.3.5.zip, r-oldrel: likert_1.3.5.zip
macOS binaries: r-release (arm64): likert_1.3.5.tgz, r-oldrel (arm64): likert_1.3.5.tgz, r-release (x86_64): likert_1.3.5.tgz, r-oldrel (x86_64): likert_1.3.5.tgz
Old sources: likert archive

Reverse dependencies:

Reverse imports: codebook, opitools
Reverse suggests: forwards, psychotools

Linking:

Please use the canonical form https://CRAN.R-project.org/package=likert to link to this page.

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.
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