Chapter 1

Introduction to R and RStudio

R programming environment setup

medium • 1 min read

RStudio interface (Console, Script, Environment, Plots)

medium • 2 min read

Basic arithmetic operations and variables

medium • 3 min read

Data types in R (Numeric, Character, Logical, Factor)

medium • 4 min read

Installing and loading CRAN packages

medium • 5 min read

Chapter 2

R Data Structures

Vectors and vector arithmetic

medium • 1 min read

Matrices and matrix operations

medium • 2 min read

Lists: Creation and manipulation

medium • 3 min read

Data Frames: Creation, indexing, subsetting

medium • 4 min read

Factors and dealing with categorical data

medium • 5 min read

Chapter 3

Data Wrangling with Tidyverse

Introduction to the Tidyverse ecosystem

medium • 1 min read

Piping operator (%>%)

medium • 2 min read

Data manipulation using dplyr (filter, select, mutate, summarize, arrange)

medium • 3 min read

Reshaping data using tidyr (pivot_longer, pivot_wider)

medium • 4 min read

String manipulation with stringr

medium • 5 min read

Chapter 4

Statistical Modeling in R

Descriptive statistics functions (summary, str)

medium • 1 min read

Running t-tests and ANOVA in R

medium • 2 min read

Fitting linear regression models (lm function)

medium • 3 min read

Fitting logistic regression models (glm function)

medium • 4 min read

Model evaluation and diagnostic plots

medium • 5 min read

Chapter 5

Data Visualization with ggplot2

The Grammar of Graphics philosophy

medium • 1 min read

Scatter plots and geometric objects (geoms)

medium • 2 min read

Aesthetics mapping (color, shape, size)

medium • 3 min read

Faceting for multi-panel plotting

medium • 4 min read

Customizing themes, scales, and labels in ggplot2

medium • 5 min read