Reshape your data from long to wide, split a column, aggregate: a comparison between tidyr and reshape2 R packages to tidy data
A MilanoR meeting is an occasion to bring together R users from the Milano area to share R tips and experience: the next one will be Thursday, October 27th. We are looking for volunteers to present at the next meeting: if you feel you have something to input or you can recommend someone, please contact us!
I would like to propose, as a kind of tribute and language game, a method for inventing words —actually, more an algorithm than a method.
Move forward from being a R user to become a R developer. Discover from an inner perspective the R working mechanisms and master your R programming skills.
Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R.
Discover Data Mining with R: find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction.
Cross-validation is a widely used model selection method. We show how to implement it in R using both raw code and the functions in the caret package.
A live class for beginners: learn the basics of R, and get an overview on methods for data import, data manipulation, data visualization and data analysis.
A method to gather data from different sources, sort them and keep a reference to the origin of each subset, plus some efficiency considerations
How to apply one or many functions to one or many variables using dplyr: a practical guide to the use of summarise() and summarise_each()