**Strenge Jacke! Β» R**, and kindly contributed to R-bloggers)

First of all, credits for this script must go to Ethan Brown, whose ideas for creating Likert scales like plots with ggplot built the core of my sjPlotLikert.R-script.

All I did was some visual tweaking like having positive percentage values on both sides of the x-axis, adding value labels and so on… You can pass a lot of different parameters to modify the graphical output. Please refer to my blog postings on R to get some impressions of how to teak the plot (and/or look into the script header, which includes a description of all parameters).

Now to some examples:

likert_2 <- data.frame(as.factor(sample(1:2, 500, replace=T, prob=c(0.3,0.7))), as.factor(sample(1:2, 500, replace=T, prob=c(0.6,0.4))), as.factor(sample(1:2, 500, replace=T, prob=c(0.25,0.75))), as.factor(sample(1:2, 500, replace=T, prob=c(0.9,0.1))), as.factor(sample(1:2, 500, replace=T, prob=c(0.35,0.65)))) levels_2 <- list(c("Disagree", "Agree")) items <- list(c("Q1", "Q2", "Q3", "Q4", "Q5")) source("sjPlotLikert.R") sjp.likert(likert_2, legendLabels=levels_2, axisLabels.x=items, orderBy="neg")

What you see above is a scale with two dimensions, ordered from highest “negative” category to lowest. If you leave out the `orderBy`

parameter, the plot uses the normal item order:

likert_4 <- data.frame(as.factor(sample(1:4, 500, replace=T, prob=c(0.2,0.3,0.1,0.4))), as.factor(sample(1:4, 500, replace=T, prob=c(0.5,0.25,0.15,0.1))), as.factor(sample(1:4, 500, replace=T, prob=c(0.25,0.1,0.4,0.25))), as.factor(sample(1:4, 500, replace=T, prob=c(0.1,0.4,0.4,0.1))), as.factor(sample(1:4, 500, replace=T, prob=c(0.35,0.25,0.15,0.25)))) levels_4 <- list(c("Strongly disagree", "Disagree", "Agree", "Strongly Agree")) items <- list(c("Q1", "Q2", "Q3", "Q4", "Q5")) source("sjPlotLikert.R") sjp.likert(likert_4, legendLabels=levels_4, axisLabels.x=items)

And finally, a plot with a different color set and items ordered from highest positive answer to lowest.

likert_6 <- data.frame(as.factor(sample(1:6, 500, replace=T, prob=c(0.2,0.1,0.1,0.3,0.2,0.1))), as.factor(sample(1:6, 500, replace=T, prob=c(0.15,0.15,0.3,0.1,0.1,0.2))), as.factor(sample(1:6, 500, replace=T, prob=c(0.2,0.25,0.05,0.2,0.2,0.2))), as.factor(sample(1:6, 500, replace=T, prob=c(0.2,0.1,0.1,0.4,0.1,0.1))), as.factor(sample(1:6, 500, replace=T, prob=c(0.1,0.4,0.1,0.3,0.05,0.15)))) levels_6 <- list(c("Very strongly disagree", "Strongly disagree", "Disagree", "Agree", "Strongly Agree", "Very strongly agree")) items <- list(c("Q1", "Q2", "Q3", "Q4", "Q5")) source("sjPlotLikert.R") sjp.likert(likert_6, legendLabels=levels_6, barColor="brown", axisLabels.x=items, orderBy="pos")

If you need to plot stacked frequencies that have no “negative” and “positive”, but only one direction, you can also use my sjPlotStackFrequencies.R script. Given that you use the likert-data frames from the above examples, you can run following code to plot stacked frequencies for scales that range from “low” to “high” and not from “negative” to “positive”.

levels_42 <- list(c("Independent", "Slightly dependent", "Dependent", "Severely dependent")) levels_62 <- list(c("Independent", "Slightly dependent", "Dependent", "Very dependent", "Severely dependent", "Very severely dependent")) source("lib/sjPlotStackFrequencies.R") sjp.stackfrq(likert_4, legendLabels=levels_42, axisLabels.x=items) sjp.stackfrq(likert_6, legendLabels=levels_62, axisLabels.x=items)

This produces following two plots:

That’s it!

Tagged: ggplot, Likert-Scale, R, rstats

**leave a comment**for the author, please follow the link and comment on their blog:

**Strenge Jacke! Β» R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...