R CODER

R TUTORIALS

Introduction Data Wrangling Graphics Statistics
Calculate the median in R with the median function for discrete and continuous data

Calculate the median

Statistics with R Measures of central tendency

Calculate the mode in R for both discrete and continuous data

Mode estimation

Statistics with R Measures of central tendency

Creating line graphs in R programming

Line graphs

Graphs in R

Microeconomic and macroeconomic charts in R using ggplot2

Economics charts using ggplot2

Graphs in R

Binomial distribution in R with the dbinom, pbinom, qbinom and rbinom functions

Binomial distribution

Statistics with R Distributions

Poisson distribution in R with the dpois, ppois, qpois and rpois functions

Poisson distribution

Statistics with R Distributions

Use the dunif, punif, qunif and runif functions of the uniform distribution in R

Continuous uniform distribution

Statistics with R Distributions

Add and load custom fonts in base R and ggplot2

Add custom fonts

Graphs in R

Learn how to use the lapply function in R programming language

lapply function

Data Manipulation in R apply family

Matrix operations in R. Calculate matrix algebra like multiplications, determinant, rank, decompositions, transpose or inverse

Matrix operations

Introduction to R Mathematical functions

Add progress bars in R for loops and apply functions

Progress bar

Introduction to R

Create ggplot2 calendars with calendR package

Calendar plot using ggplot2

Graphs in R

R LANGUAGE TUTORIALS

On this page you will find all the tutorials available on this website. The R programming tutorials are divided into categories you can find above the articles, and some categories are also divided into tags. Currently, the categories within this R blog are:

  1. Introduction to R

    The introductory tutorials are composed by R programming language tutorials for beginners. This include tutorials about getting help with help functions, package manuals or online resources, setting the working directory and managing the workspace, the different R operators and their characteristics, tutorials of each R data structure to store objects or control structures to control the flow of the code and even installing new R packages in base R or RStudio, among other related concepts.

  2. Data manipulation

    On the one hand, the data manipulation tutorials include reading data from files like CSV or TXT, or even from the web and saving data to data files in order to store the results of your analyses. On the other, these tutorials include data wrangling tutorials, that is the process of transforming raw data into a format you can use for your analysis, like subsetting, slicing, categorizing or transforming the data in any possible way.

  3. Graphics

    R is a powerful tool for creating graphs. There are several ways for creating this plots: using basic R functions or with specific R graphics packages, like ggplot2 or lattice libraries. In this set of tutorials you will find how to use the plot function of base R, how to create boxplots, barplots, histograms, density plots, dot plots, violin plots and all types of statistical representations.

  4. Statistics

    R offers a robust statistical environment with multitude of specialized packages providing a comprehensive suite of tools for performing intricate analyses, data visualization, hypothesis testing, regression modeling, and exploratory data analysis, facilitating in-depth statistical exploration and interpretation of data.