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.


Reference manual

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install.packages("likert")

1.3.5.1 by Jason Bryer, a year ago


https://github.com/jbryer/likert


Report a bug at https://github.com/jbryer/likert/issues


Browse source code at https://github.com/cran/likert


Authors: Jason Bryer [aut, cre] , Kimberly Speerschneider [aut]


Documentation:   PDF Manual  


GPL license


Imports psych, reshape2, gridExtra, grid, plyr

Depends on ggplot2, xtable

Suggests devtools, shiny


Imported by codebook.

Suggested by forwards, psychotools.


See at CRAN