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).
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.