R language eBook for professionals

Download free R language tutorial course in PDF, training file in 127 chapters and 475 pages. Free unaffiliated ebook created from Stack OverFlow contributor.

Table of contents

  • About
  • Getting started with R Language
  • Installing R
  • Hello World!
  • Getting Help
  • Interactive mode and R scripts
  • Variables
  • Variables, data structures and basic Operations
  • Arithmetic Operators
  • Range and addition
  • Addition and subtraction
  • Matrices
  • Creating matrices
  • Formula
  • The basics of formula
  • Reading and writing strings
  • Printing and displaying strings
  • Capture output of operating system command
  • Reading from or writing to a ?le connection
  • String manipulation with stringi package
  • Count pattern inside string
  • Duplicating strings
  • Paste vectors
  • Splitting text by some ?xed pattern
  • Classes
  • Inspect classes
  • Vectors and lists
  • Vectors
  • Lists
  • Introduction to lists
  • Quick Introduction to Lists
  • Serialization: using lists to pass information
  • Hashmaps
  • Environments as hash maps
  • package:hash
  • package:listenv
  • Creating vectors
  • Vectors from build in constants: Sequences of letters & month names
  • Creating named vectors
  • Sequence of numbers
  • seq()
  • Vectors
  • Expanding a vector with the rep() function
  • Date and Time
  • Current Date and Time
  • Variables
  • Matrices
  • Reading and writing strings
  • Classes
  • Hashmaps
  • Date and Time
  • Date-time classes (POSIXct and POSIXlt)
  • Numeric classes and storage modes
  • Data frames
  • Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
  • Linear Models (Regression)
  • Pivot and unpivot with data.table
  • Base Plotting
  • ggplot2
  • Pattern Matching and Replacement
  • Speeding up tough-to-vectorize code
  • Set operations
  • Rcpp
  • Parallel processing
  • Debugging
  • Inspecting packages
  • Using pipe assignment in your own package %<>%: How to ?
  • Distribution Functions
  • spatial analysis
  • Code profiling
  • Column wise operation
  • RODBC
  • Time Series and Forecasting
  • Web scraping and parsing
  • Reshaping data between long and wide forms
  • Scope of variables
  • Performing a Permutation Test
  • xgboost
  • R code vectorization best practices
  • Missing values
  • Hierarchical Linear Modeling
  • *apply family of functions (functionals)
  • Text mining
  • ANOVA
  • Raster and Image Analysis
  • Survival analysis
  • Fault-tolerant/resilient code
  • Reproducible R
  • Fourier Series and Transformations
  • .Rprofile
  • dplyr
  • caret
  • Extracting and Listing Files in Compressed Archives
  • Probability Distributions with R
  • R in LaTeX with knitr
  • Web Crawling in R
  • Creating reports with RMarkdown
  • GPU-accelerated computing
  • heatmap and heatmap.2
  • Network analysis with the igraph package
  • Functional programming
  • Get user input
  • Spark API (SparkR)
  • Meta: Documentation Guidelines
  • Input and output
  • I/O for foreign tables (Excel, SAS, SPSS, Stata)
  • I/O for database tables
  • I/O for geographic data (shapefiles, etc.)
  • I/O for raster images
  • I/O for R's binary format
  • Recycling
  • Expression: parse + eval
  • Regular Expression Syntax in R
  • Regular Expressions (regex)
  • Combinatorics
  • Solving ODEs in R
  • Feature Selection in R -- Removing Extraneous Features
  • Bibliography in RMD
  • Writing functions in R
  • Color schemes for graphics
  • Hierarchical clustering with hclust
  • Random Forest Algorithm
  • RESTful R Services
  • Machine learning
  • Using texreg to export models in a paper-ready way
  • Publishing
  • Implement State Machine Pattern using S4 Class
  • Reshape using tidyr
  • Modifying strings by substitution
  • Non-standard evaluation and standard evaluation
  • Randomization
  • Object-Oriented Programming in R
  • Coercion
  • Standardize analyses by writing standalone R scripts
  • Analyze tweets with R
  • Natural language processing
  • R Markdown Notebooks (from RStudio)
  • Aggregating data frames
  • Data acquisition
  • R memento by examples
  • Updating R version

It is a free R language ebook created for beginners. The content is extracted from Stack Overflow pltaform, which is written by many R language developers and contributors.

The content is released under Creative Commons BY-SA

Size : 6.47 MB
File type : pdf
Downloads: 97
Created: 2019-04-30

Others R language Tutorials

Advanced R Course

Others related eBooks about R language eBook for professionals

Essential Ruby

This book written to provide clear and concise explanation of topics for programmers both starting to learn the Ruby programming language as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it....

How to Make Mistakes in Python

Download free course How to Make Mistakes in Python, pdf file on 82 pages by Mike Pirnat....

Object-oriented Programming in C#

Download free course Object-oriented Programming in C#, pdf file on 485 pages by Kurt Normark....

C++ Hacker's Guide

Download free course C++ Hacker's Guide, pdf file on 231 pages by Steve Oualine....

Entity Framework tutorial for professionals

Download free Entity Framework tutorial course in PDF, training file in 23 chapters and 94 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

: Just Enough R: Learn Data Analysis with R in a Day

Learn R programming for data analysis in a single day. The book aims to teach data analysis using R within a single day to anyone who already knows some programming in any other language. The book has sample code which can be downloaded as a zip file. ...

Python For Loop free PDF

Download free course Python For Loop free PDF, pdf file on 5 pages by tutorialkart.com....

Getting started with Hibernate

Download free Hibernate tutorial course in PDF, training file in 14 chapters and 39 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

The Coder's Apprentice

The Coder's Apprentice is a course book, written by Pieter Spronck, that is aimed at teach..., download free Coding tutorial in PDF (398 pages) created by Pieter Spronck ....

Python for Informatics: Exploring Information

This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is fr...