Learn R with Real Code Examples

Learn R syntax and basic data structures

Practice data manipulation with dplyr

Explore visualization with ggplot2

Study statistical modeling and machine learning

Build reproducible reports and Shiny apps

Week 1: R basics and vectors

Week 2: Data frames, lists, and matrices

Week 3: Functions, control flow, and packages

Week 4: Visualization and reporting

Week 5: Statistical analysis and real datasets

What are R’s primary strengths in data analysis?

Explain the difference between a vector, list, and data frame in R.

How do you create a plot with ggplot2?

Describe how to build a Shiny app.

What are R packages and how do you manage them?

x <- 10 - variable assignment

c(1,2,3) - vector creation

data.frame() - create data frame

lm(y ~ x, data=df) - linear regression

library(ggplot2) - load package

R for Data Science

Advanced R

Hands-On Programming with R

The Art of R Programming

R Graphics Cookbook

R basics and data types

Data manipulation with dplyr

Visualization with ggplot2

Statistical modeling and machine learning

Building Shiny dashboards

R Project official website

R manuals and reference guides

CRAN package documentation

RStudio Community

Stack Overflow R tag

CRAN mailing lists

Bioconductor forums

Data science and analytics forums

R Project official website

RStudio community forums

Stack Overflow R tag

CRAN and Bioconductor communities

Data science and academic R groups