Reputation: 38770
I'm using the jbryer/likert
package to plot Likert data.
Consider the response table, called items
—here, A
, B
, and so on are the column names, not part of the data:
A B C D
5 4 5 4
3 3 3 4
2 2 2 2
2 2 2 3
5 3 6 7
3 3 5 4
And the following code:
choices = c("Very low", "Low", "Rather low", "Neither low nor high", "Rather high", "High", "Very high")
for(i in 1:ncol(items)) {
items[,i] = factor(items[,i], levels=1:7, labels=choices, ordered=TRUE)
}
Now, we transform this into the likert
data and plot it, which overrides the built-in plot function with one that uses ggplot
:
plot(likert(items), ordered=FALSE)
This gives me:
Cool. All ordered. But A
, B
, etc. are not meaningful as descriptors for the conditions, and I'd like to override them:
names(items) = c("LT", "ST", "SemTag", "SemTagContext")
Which gives me the wrong order:
See how ST
comes first, although it's the name for B
? My ordering got changed to B
, D
, C
, A
.
How can I make it preserve the order and return the bars in D
, C
, B
, A
—or, with my new group names: SemTagContext
, SemTag
, ST
, LT
?
Note: The data table above is shortened. The bar widths in the plot don't reflect this short data example, but the full dataset I have. The problem is the same though.
Upvotes: 7
Views: 9774
Reputation: 188
You can do this using the group.order parameter to specify the order. Use the names() function to obtain the names of the columns.
plot(likert_var, group.order=names(results))
Upvotes: 7
Reputation: 1290
I added a pull request to Jason Bryer's package that adds fullname attributes to the columns, which are then used when you plot. Detailed writeup here http://reganmian.net/blog/2013/10/02/likert-graphs-in-r-embedding-metadata-for-easier-plotting/
Given that addition, you can do
db <- likert_add_fullnames(db, c(
"X7"="Do you use sites like Facebook, Twitter, or GPlus?",
"X8"="Do you participate in online communities organised around your interests?
(could be juggling, cooking, sports or academics, for example)?",
"X10"="Do you know of online communities relevant to your discipline or the
courses you are taking now?"))
...
and then these names will be reflected when you plot.
Upvotes: 2
Reputation: 38770
I decided to re-implement this myself, as jon suggested:
# additional requirements
library(ggplot2)
library(reshape2)
library(RColorBrewer)
# create summary table
table_summary = likert(items)
# reshape results
results = melt(table_summary$results, id.vars='Item')
# reorder results
results$Item = factor(results$Item, levels=c("LT", "ST", "SemTag", "SemTagContext"))
# some defaults
ymin = 0
text.size = 3
ggplot(results, aes(y=value, x=Item, group=Item)) +
geom_bar(stat='identity', aes(fill=variable)) +
ylim(c(-5,105)) +
coord_flip() +
scale_fill_manual('Response', values=brewer.pal(7, "RdYlGn"),
breaks=levels(results$variable),
labels=levels(results$variable)) +
geom_text(data=table_summary$summary, y=ymin, aes(x=Item,
label=paste(round(low), '%', sep='')),
size=text.size, hjust=1) +
geom_text(data=table_summary$summary, y=100, aes(x=Item,
label=paste(round(high), '%', sep='')),
size=text.size, hjust=-.2) +
ylab('Percentage') + xlab('')
This produces the correct order:
Upvotes: 6