R Programming Language Tutorial Pdf

9/12/2019 admin

R Programming Language Manual Pdf
R Programming Language Tutorial Pdf Download
R Tutorials For Beginners Pdf

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 Programming i. About the Tutorial 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,. Aug 23, 2019 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.

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 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. 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. 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.

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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.

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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.

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.

Course Syllabus

Introduction R Programming Language Tutorial Pdf

Tutorial	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

Data Preparation

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)

Programming

Tutorial	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

Data Analysis

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)

Machine Learning

R Programming Language Manual Pdf

Tutorial	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