Part I that demonstrates how to implement parallem processing on single machine in R

Part VI of tree based methods in R series. Performance of classification analysis is discussed.

Part V of tree based methods in R series. Performance of regression analysis is discussed.

Part IV of tree based methods in R series. 3 R packages for classification analysis are compared - rpart, caret and mlr packages.

Part III of tree based methods in R series. Regression tasks are discussed.

Part II of tree based methods in R series. Cost-sensitive classification is implemented, assuming that misclassifying the High class is twice as expensive, both by altering the priors and by adjusting the loss matrix.

Part I of tree based methods in R series. Classification analysis is performed using the caret package.

This is a quick trial of adding overall and conditional (by user) average columns in a data frame.

We discuss how to loop without for in R.

I demonstrate short R examples - summarise a data frame group by a column and a quick way of implementing simulation