Here is a video I made showing how R should not be considered “scarier” than Excel to analysts. One of the takeaway points: it is easier to email R procedures than Excel procedures.
Win-Vector’s John Mount shows a simple analysis both in Excel and in R.
A save of the “email” linking to all code and data is here.
Then all the steps are (in a more cut/paste friendly format):
cars <- read.table('http://www.win-vector.com/dfiles/car.data.csv',header=TRUE,sep=',') library(rpart) library(rpart.plot) model <- rpart(rating ~ buying + maint + doors + persons + lug_boot + safety, data=cars, control=rpart.control(maxdepth=6)) rpart.plot(model,extra=4) levels(cars$rating)
Note, you would only have to install the packages once- not every time you run an analysis (which is why that command was left out).