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Data Science for Environmental Modeling
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  • Data Science with R
    • R For Beginners
    • High Performance Computing
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    • Python For Beginners
  • Spatial Data Science
Data Science for Environmental Modeling
  • Home
  • Data Science with R
    • R For Beginners
    • High Performance Computing
  • Data Science with Python
    • Python For Beginners
  • Spatial Data Science
  • More
    • Home
    • Data Science with R
      • R For Beginners
      • High Performance Computing
    • Data Science with Python
      • Python For Beginners
    • Spatial Data Science

R For Beginners

R is a powerful, open-source programming language designed specifically for statistical analysis, data visualization, and data science. It’s a favorite among researchers, statisticians, and data enthusiasts because it’s free, flexible, and backed by a vast community. Whether you’re analyzing trends, building charts, or diving into machine learning, R provides the tools to turn raw data into meaningful insights. READ MORE



Table of Content

The table of contents below provides a structured overview of the "R for Beginners" guide, helping readers easily find chapters and topics covering R installation, data handling, statistics, and more. Use the links to explore each section in detail.

Getting Started With R

  • Introduction to R

  • Download and Installation R

  • How to Run R Code in Google Colab

  • Introduction to using R

R Data Import/Export

  • Introduction to Data Import/Export

  • Data Import/Export to/from R

  • Data Import and Export with {readr}

  • Data Read/Write with {googlesheets4}

Data Wrangling in R

  • Introduction to Data Wrangling

  • Data Wrangling with {dplyr} and {tidyr}

  • Data Wrangling with {Janitor}

  • Data Wrangling with {lubricate}

Data Visualization in R

  • Introduction to Data Visualization

  • Simple Exploratory Plots with Base R Graphics

  • Advanced Plotting with {ggplot2}

  • Data Visualization with the {lattice} and {latticeExtra}

  • Interactive Data Visualization with the {plotly}

Basic Statistics in R

  • Introduction

  • Descriptive Statistics

  • Inferential Statistics

  • Correlation Analysis

  • Simple Regression Analysis

  • Multiple Regression Analysis

  • Analysis of Variance (ANOVA)

Data Exploration in R

  • Introduction to Data Exploration

  • Basic Data Exploration and Visualization

  • Data Exploration with {dlookr}

  • Data Exploration with {DataExplorer}

  • Data Exploration with {sikmr}

  • Data Exploration with {SmartEDA}

Functional Programming in R

  • Introduction to Functional Programming

  • Functional Programming with R-Base

  • Functional Programming with {purrr}


Zia Ahmed

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