R Programming Language Tutorial Pdf

  
R Programming Language Tutorial Pdf Average ratng: 7,6/10 2890 reviews

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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. 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.

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,. 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.

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
TutorialWhat is R Programming Language? Introduction & Basics
TutorialHow to Download & Install R, RStudio, Anaconda on Mac or Windows
TutorialR Data Types, Arithmetic & Logical Operators with Example
TutorialR Matrix Tutorial: Create, Print, add Column, Slice
TutorialFactor in R: Categorical & Continuous Variables
Data Preparation
TutorialR Data Frame: Create, Append, Select, Subset
TutorialList in R: Create, Select Elements with Example
TutorialR Sort a Data Frame using Order()
TutorialR Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread)
TutorialMerge Data Frames in R: Full and Partial Match
TutorialFunctions in R Programming (with Example)
Programming
TutorialIF, ELSE, ELSE IF Statement in R
TutorialFor Loop in R with Examples for List and Matrix
TutorialWhile Loop in R with Example
Tutorialapply(), lapply(), sapply(), tapply() Function in R with Examples
TutorialImport Data into R: Read CSV, Excel, SPSS, Stata, SAS Files
TutorialHow to Replace Missing Values(NA) in R: na.omit & na.rm
TutorialR Exporting Data to Excel, CSV, SAS, STATA, Text File
TutorialCorrelation in R: Pearson & Spearman with Matrix Example
TutorialR Aggregate Function: Summarise & Group_by() Example
TutorialR Select(), Filter(), Arrange(), Pipeline with Example
Data Analysis
TutorialScatter Plot in R using ggplot2 (with Example)
TutorialHow to make Boxplot in R (with EXAMPLE)
TutorialBar Chart & Histogram in R (with Example)
TutorialT Test in R: One Sample and Paired (with Example)
TutorialR ANOVA Tutorial: One way & Two way (with Examples)
Machine Learning
TutorialR Simple, Multiple Linear and Stepwise Regression [with Example]
TutorialDecision Tree in R with Example
TutorialR Random Forest Tutorial with Example
TutorialGeneralized Linear Model (GLM) in R with Example
TutorialK-means Clustering in R with Example

Basic R Programming Tutorial Pdf

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