Changes in version 2.0.1 - Documentation fixes per CRAN request. - likert.density.plot has been deprecated. - Added likert_anchors dataset and vignette. Changes in version 2.0 - Many fixed to be compatible with the latest version of ggplot2. - Added digits parameter to plot for heatmaps. - Now check to ensure grouping variable does not have any missing values. - Print a warning if any variables are not factors. - New Shiny app that allows for interactively manipulate Likert options. Changes in version 1.3.6 - Fixed a bug where the labels were placed on the wrong side. - Now require ggplot2 versions greater than 2.2.0. Changes in version 1.3.5 (2016-12-31) - Fixed a bug where stacked bars were in the wrong order in grouped plots. - Plotting options are now passed as a list. The likert.options returns the default set of plotting options. Changes in version 1.3.4 - Fixed a bug where the neutral labels would be printed twice when there were an odd number of levels and plot.percents = TRUE. - Fixed a bug where the results for a grouped analysis with missing levels may not be correct in the print function. Changes in version 1.3.3 (2015-12-15) - Update for ggplot2 version 2.0 Changes in version 1.3.2 - Removed all use of the reshape package. - Fixes issue 40 where the histogram bars may not match the likert bars. Changes in version 1.3.1 (2015-11-03) - Fix to work with the latest version of the xtable package. Changes in version 1.3.0 (2015-10-23) - Added ability to group items by factor. - Converted all uses of reshape to reshape2. - Other fixes to pass R CMD CHECK. Changes in version 1.2.1 - Added colors parameter to plot.likert.bar to define custom colors for levels. - Fixed bug where an unused factor level would not appear in the legend. Changes in version 1.2 (2014-10-17) - Added initial support for conducting gap analysis. A demo, GapAnalysis has also been added. - Removed dependency on a non-exported function in ggplot2. - Can now create a likert object with a pre-summarized data frame. - New Shiny app to demonstrate many of the features in the likert package. The shinyLikert() function will start the app. - Fixed bug where text.color parameter was not being used. - Fixed bug 16. - Fixed bug where automatic conversion to factors would not work if there were missing levels in an item. - Added text labels to the histogram (if include.histogram=TRUE) for the n. - Fixed a bug where plot.likert(..., include.histogram=TRUE) would not work with a group and only one item (i.e. one column). - Updates for newer version of R and Roxygen. Changes in version 1.1 (2013-09-25) Released September 25, 2013. - New density plot type plot(l, type='density'). - xtable function to create LaTeX and HTML tables. - Added several parameters related to centering bar plots. Can now include the center level and split across zero, or specify which level, or between which levels, centering occurs. - Plot a histogram of responses (n) alongside the barplot. - Summary function now includes neutral column. Values will be NA if no level is the center. - If there is a neutral category in the bar plot it will be labeled with its percentage. - Added parameter to wrap text in plots for long item names. - Changed the default colors. - Added parameter to change legend title. - Can now plot bar plot panels horizontally. - Changed the center=TRUE as the default for bar plots to. - Added panel.flip to flip the placement of grouping elements and items. - Added legend.position parameter. - Added panel.strip.color to change the background color for panel labels. - Added group.order to reorder how groups are plotted. This also works for items in non-grouped items. - Added parameters to turn off percent labels for low, high, and netural separately. - Added a check to ensure all factors have the same number of levels. - Items (i.e columns) that are not a factor will be converted to a factor using as.factor. - Added reverse.levels function to reverse code factors. Useful when you wish to plot bars in reverse order (left-to-right). - Two new demos, RecodeFactors and UnusedLevels show how to deal with common data issues before using the likert function. - Added plot.percents parameter to label each category. - Other bug fixes.