R Programming Tutorial PDF for Beginners (Download Now)

R is a programming language is widely used by data scientists and major corporations like Google, Airbnb, Facebook etc. for data analysis. This is a complete ebook on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference etc.

Inside this PDF

Section 1- Introduction

1. What is R Programming? Introduction Basics (First Chapter FREE)
2. How to Download and Install R, RStudio, and Anaconda on Mac/Windows
3. R Data Types & Operator
4. R Matrix Tutorial: Create,Print,add Column,Slice
5. What is Factor in R? Categorical & Continuous

Section 2- Data Preparation

1. R Data Frames: Create,Append,Select,Subset
2. Lists in R: Create, Select [Example]
3. Sort a data frame using Order
4. R Dplyr Tutorial: Merge,Join,Spread
5. Merge data Frames in R:Full and Partial Match
6. Function in R Programming [With Example]

Section 3- R Programming

1. IF,ELSE,ELIF, Statement in R
2. For loop in R with Examples for List and Matrix
3. While loop in R with Example
4. apply(),sapply(),tapply() in R with Example
5. Import data into R: Read CSV,Excel,SPSS,Stata,SAS Files
6. Replace missing Values(NA)in R
7. R Exporting Data to CSV, Excel, SAS, STATA, and Text File
8. Pearson, Spearman Correlation in R and Correlation Matrix
9. R Aggregate Function: Summarise & Group_by() [Example]
10. R Select(), Filter(), Arrange(), Pipeline [Example]

Section 4- Data Analysis

1. Scatter plot with ggplot2 [Examples]
2. How to make Boxplot in R (with EXAMPLE)
3. Bar Chart & Histogram in R [Examples]
4. T-Test in R: One-Sample and Paired [Example]
5. R ANOVA Tutorial: One-way & Two-way [with Examples]

Section 5- Machine Learning

1. R Simple, Multiple Linear and Stepwise Regression [with Example]
2. Decision trees in R with Example
3. R Random Forest Tutorial [Examples]
4. Generalized Linear Model (GLM) in R with Example
5. K-means clustering in R with Example
6. R Vs Python: What’s the difference?

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