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An R implementation of the radar chart from thechart.js javascript library.

Unfortunately we're not developingradarchart at the moment. Major CRAN fixes will be done if necessary.

You can install from CRAN.

install.packages("radarchart")

To install the latest version direct from GitHub you'll need devtools installed. Assuming you have this run:

devtools::install_github("MangoTheCat/radarchart")

Or if you want to hack about with the code then clone the repository, change directory into it and run

devtools::install()

Note:htmlwidgets packages don't work well withdevtools::load_all().

Once installed you can make a radar chart

library(radarchart)labs<- c("Communicator","Data Wangler","Programmer","Technologist","Modeller","Visualizer")scores<-list("Rich"= c(9,7,4,5,3,7),"Andy"= c(7,6,6,2,6,9),"Aimee"= c(6,5,8,4,7,6))chartJSRadar(scores=scores,labs=labs,maxScale=10)

Static version. Real plots are interactive

Alternatively, you may supply a data frame andchartJSRadar will pickup the labels from the first column of the data. Also we're showing an option to display data set labels in the mouse over.

scores<-data.frame("Label"=c("Communicator","Data Wangler","Programmer","Technologist","Modeller","Visualizer"),"Rich"= c(9,7,4,5,3,7),"Andy"= c(7,6,6,2,6,9),"Aimee"= c(6,5,8,4,7,6))chartJSRadar(scores,maxScale=10,showToolTipLabel=TRUE)

Static version. Real plots are interactive

You can now also add a title

chartJSRadar(skills,main="Data Science Radar")

Static version. Real plots are interactive

As it's based on htmlwidgets it's easy to useradarchart with Shiny. Just use the

chartJSRadarOutput("ID",width="450",height="300")

function in yourui.R and callchartJSRadar as normal in yourserver.R. A minimal example can be found ininst/shiny-examples/basic. You can run this with therunExampleApp function

runExampleApp("basic")

An"options" app is available to help construct more customised radar charts.

MIT © Mango Solutions, Nick Downie