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()
Organize your data manipulation tasks in a standard way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: tidyr, dplyr and lubridate.
A deep sentiment analysis of all the presidential speeches that the Italian Presidents did every last of the year from 1949 to 2015, with R.
XLConnect allows to create a formatted spreadsheet usable as a dynamic report of the R analysis. Discover how to link R and Excel with just a few steps
R is growing faster, our community is growing as well: that's why we provided MilanoR with a brand new website, more functional to find our R resources.