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How to reshape data in R: tidyr vs reshape2

Reshape your data from long to wide, split a column, aggregate: a comparison between tidyr and reshape2 R packages to tidy data
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MilanoR meeting | Call for presentations

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!

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MilanoR meeting: call for presentations

We are delighted to announce that the next MilanoR meeting will be Thursday, October 27th. A MilanoR meeting consists of two talks of about 25 minutes, about to give plenty of room for sharing your R experiences, discussions and exchange of ideas. After the meeting, our sponsor Quantide will offer some appetizers We are looking for […]

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Preparing the data for modelling with R

Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R.
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Cross-Validation for Predictive Analytics Using R

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.
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