R Programming Tutorial PDF: Learn Basics (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
- What is R Programming? Introduction Basics (First Chapter FREE)
- How to Download and Install R, RStudio, and Anaconda on Mac/Windows
- R Data Types & Operator
- R Matrix Tutorial: Create,Print,add Column,Slice
- What is Factor in R? Categorical & Continuous
Section 2- Data Preparation
- R Data Frames: Create,Append,Select,Subset
- Lists in R: Create, Select [Example]
- Sort a data frame using Order
- R Dplyr Tutorial: Merge,Join,Spread
- Merge data Frames in R:Full and Partial Match
- Function in R Programming [With Example]
Section 3- R Programming
- IF,ELSE,ELIF, Statement in R
- For loop in R with Examples for List and Matrix
- While loop in R with Example
- apply(),sapply(),tapply() in R with Example
- Import data into R: Read CSV,Excel,SPSS,Stata,SAS Files
- Replace missing Values(NA)in R
- R Exporting Data to CSV, Excel, SAS, STATA, and Text File
- Pearson, Spearman Correlation in R and Correlation Matrix
- R Aggregate Function: Summarise & Group_by() [Example]
- R Select(), Filter(), Arrange(), Pipeline [Example]
Section 4- Data Analysis
- Scatter plot with ggplot2 [Examples]
- How to make Boxplot in R (with EXAMPLE)
- Bar Chart & Histogram in R [Examples]
- T-Test in R: One-Sample and Paired [Example]
- R ANOVA Tutorial: One-way & Two-way [with Examples]
Section 5- Machine Learning
- R Simple, Multiple Linear and Stepwise Regression [with Example]
- Decision trees in R with Example
- R Random Forest Tutorial [Examples]
- Generalized Linear Model (GLM) in R with Example
- K-means clustering in R with Example
- R Vs Python: What’s the difference?
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