This is chapter 2 of my documents covering more on vector related operations.

This is chapter 1 of my documents on learning R, simply and effectively for statistics. In this chapter, I introduce and provide many examples about basic elements in R: Simple Variables, Vectors, Matrices, Factors, Data Frames and Lists.

In this document, we introduce and work with measures of central tendency, dispersion, skewness and kurtosis for univariate data. We then explore the basics of plotting numerical and categorical data. We also learn a quick way of defining and coding functions. As usual, we do this using various examples to increase our fluency with R.

In this document, we introduce basic techniques/tools to explore bivariate relations between two variables. As usual, we learn how to R using several examples.Examples 1 and 2 are mostly concenred with plotting and exploring the rleation between two continuous variables. Example 3 should be seen as an introduction to use plots in order to explore the relation between a categorical preditor (X) and a continuous response (Y) variable. This document mostly focuses on plotting the relations and examines related functions that assist us attain this goal. The relation between two categorical variables will be covered in another document.