Data Analysis

A screencast tutorial demonstrating how to read a CSV file into R using the read.csv function, illustrated with 2019 KPMG Women’s PGA Championship green speed data, and covering the distinction between opening a file and loading it into the R working environment for analysis.

A personal account of learning R from 2011, walking through four progressive stages: installing R and discovering R-bloggers, adopting RStudio as an IDE, and finally organizing work into structured project directories with separate folders for data and scripts.

A turfgrass scientist introduces a new blog series called #rturf, explaining how he started using R in 2011 to replace SAS and SigmaPlot for creating charts, generating dynamic reports, and performing statistical analysis, with plans to share practical R tutorials tailored to turfgrass professionals.