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- R Tutorial
- R Data Interfaces
R Tutorial PDF Version Quick Guide Resources Job Search Discussion R is a programming language and software environment for statistical analysis, graphics representation and reporting. What are R and S-PLUS?. R is a free implementation of a dialect of the S language, the statistics and graphics environment for which John Chambers won the ACM Software Systems award. S was consciously designed to blur the distinction between users and programmers. S-PLUS is a commercial system (Insightful Co) based on Bell Labs’ S. R is a software language for carrying out complicated (and simple) statistical analyses. It includes routines for data summary and exploration, graphical presentation and data modelling. The aim of this document is to provide you with a basic °uency in the language. It is suggested that you work through this document at the computer, having started an R session. The book is available online via HTML, or downloadable as a PDF. Programming R - This one isn't a downloadable PDF, its a collection of wiki pages focused on R. The book assumes some knowledge of statistics and is focused more on programming so you'll need to.
Section 2: What is R? 2.1 — History The R programming language is an offshoot of a programming language called S. It was developed by Ross Ihaka and Robert Gentle-man from the University of Auckland, New Zealand. It was primarily adopted by statisticians and is now the de facto standard for statistical computing. For R, the basic reference is The New S Language: A Programming Environment for Data Analysis and Graphics by Richard A. Becker, John M. Chambers and Allan R. The new features of the 1991 release of S are covered in Statistical Models in S edited by John M. Chambers and Trevor J.
- R Charts & Graphs
- R Statistics Examples
- R Useful Resources
- Selected Reading
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.
This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.
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Training Summary
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 course on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference etc.What should I know?
Basic knowledge of statistical concept is a plus.Basic R Programming Tutorial Pdf
Course Syllabus
IntroductionTutorial | What is R Programming Language? Introduction & Basics |
Tutorial | How to Download & Install R, RStudio, Anaconda on Mac or Windows |
Tutorial | R Data Types, Arithmetic & Logical Operators with Example |
Tutorial | R Matrix Tutorial: Create, Print, add Column, Slice |
Tutorial | Factor in R: Categorical & Continuous Variables |
Tutorial | R Data Frame: Create, Append, Select, Subset |
Tutorial | List in R: Create, Select Elements with Example |
Tutorial | R Sort a Data Frame using Order() |
Tutorial | R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread) |
Tutorial | Merge Data Frames in R: Full and Partial Match |
Tutorial | Functions in R Programming (with Example) |
R Programming Books Pdf
ProgrammingTutorial | IF, ELSE, ELSE IF Statement in R |
Tutorial | For Loop in R with Examples for List and Matrix |
Tutorial | While Loop in R with Example |
Tutorial | apply(), lapply(), sapply(), tapply() Function in R with Examples |
Tutorial | Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files |
Tutorial | How to Replace Missing Values(NA) in R: na.omit & na.rm |
Tutorial | R Exporting Data to Excel, CSV, SAS, STATA, Text File |
Tutorial | Correlation in R: Pearson & Spearman with Matrix Example |
Tutorial | R Aggregate Function: Summarise & Group_by() Example |
Tutorial | R Select(), Filter(), Arrange(), Pipeline with Example |
Tutorial | Scatter Plot in R using ggplot2 (with Example) |
Tutorial | How to make Boxplot in R (with EXAMPLE) |
Tutorial | Bar Chart & Histogram in R (with Example) |
Tutorial | T Test in R: One Sample and Paired (with Example) |
Tutorial | R ANOVA Tutorial: One way & Two way (with Examples) |
R Programming Language Tutorial Pdf 2017
Machine LearningTutorial | R Simple, Multiple Linear and Stepwise Regression [with Example] |
Tutorial | Decision Tree in R with Example |
Tutorial | R Random Forest Tutorial with Example |
Tutorial | Generalized Linear Model (GLM) in R with Example |
Tutorial | K-means Clustering in R with Example |
Tutorial | R Vs Python: What’s the Difference? |
Tutorial | SAS vs R: What's the Difference? |
Tutorial | Top 18 R Programming Interview Questions & Answers |
Tutorial | R Programming Tutorial PDF |