Part 2: Analyzing data in R with basic prediction models

In the first session of this manual you might got more familiar with R. The basic executions with R are explained in Part 1 of this tutorial. It is recommended to practice with different datasets to get more familiar with the commands of R.

In part 2, the emphasis is on sorting out the relations and influences between different variables. With these relations, basic prediction models could be created. By doing this, it is important to be able to interpret the results that are presented by R.

In part 2 the files Projects.csv and Projects2.csv are used, these files could be downloaded by clicking on it. These are greater files with more different types of variables. You might have to deal with datasets that are greater than Projects.csv and Projects2.csv, but these basic executions stay the same which make you able to perform analysis on greater datasets.

Good luck with part 2 of this tutorial.

To the fist step of Part 2: Setting the working directory