Last active
July 14, 2021 16:57
-
-
Save ocaoimh/6a6a059be3d5cad3ca640210224800fd to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Create likert list object | |
LXP.data.items.likert <- likert(LXP.data.items) | |
# Summarize the data | |
summary(LXP.data.items.likert) | |
# Plot the data | |
plot(LXP.data.items.likert) | |
# Plot the data with colours to match our visual identity | |
plot(LXP.data.items.likert, colors=c('#023E8A', '#0077B6', '#CAF0F8', '#E85D04', '#FAA307')) | |
# Plot the data and add some percentages + title | |
title <- "User data for the LXP improvements" | |
plot(LXP.data.items.likert, plot.percents=TRUE, plot.percent.low=TRUE, plot.percent.high=TRUE, plot.percent.neutral=TRUE, text.size = 2, include.center=TRUE, colors=c('#023E8A', '#0077B6', '#CAF0F8', '#E85D04', '#FAA307')) + ggtitle(title) | |
#Plot the data with a histogram | |
plot(LXP.data.items.likert, plot.percents=TRUE, plot.percent.low=TRUE, plot.percent.high=TRUE, plot.percent.neutral=TRUE, text.size = 2, include.center=TRUE, include.histogram=TRUE, colors=c('#023E8A', '#0077B6', '#CAF0F8', '#E85D04', '#FAA307')) + ggtitle(title) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment