R CODER

INTRODUCTION TO R

R basics Data structures Control structures Mathematical functions
Change and add themes to customize RStudio

RStudio themes

R basics

Install R package from the available sources (CRAN, Bioconductor, GitHub and R-Forge)

How to install packages ?

R basics

Create your own R functions

Create functions

R basics

Create, modify and subset R data frames

Data frame

Data Structures

INTRODUCTION TO R PROGRAMMING LANGUAGE

This category provides introductory R programming tutorials for beginners. If you read these tutorials you will learn the basic concepts to start with R, like how to store and save objects in the workspace in different data structures and even how to control the flow of the code. This category includes:

  1. R and RStudio installation

    Learn how to install R and RStudio on Windows and macOS, change the R GUI language or even the RStudio theme, check the R version and the path of the installation and learn the first steps for executing R commands.

  2. Basic R concepts

    Learn about R operators, data types, printing values, how to get help for functions and packages, set the working directory, save or clear the R workspace and install R packages with additional functions.

  3. Data structures

    R data structures are objects used to store different data types in different ways. The basic data structures are vectors, that allows you to store unidimensional variables, factors (vectors of categorical variables), lists, to store different R objects on the same structure, data frames, for heterogeneous data types and matrices, to store homogeneous data types.

  4. Control structures

    R control structures are blocks of code that allows you to modify the control flow of your code. You can create conditions or repeat or cycle some blocks of code depending on some events. These control structures include the if else statement, the for loop (and how to optimize its performance) and the while loop.

  5. Programming

    You will also learn how to create your own R functions in order to extend the functionalities of the R language and to add warning or error messages.

  6. Mathematical functions

    Finally, you will learn about the most common mathematical functions used to perform operations such as square roots, sine and cosine calculations or logarithms and exponentials, among others.