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: 98
Created: 2019-04-30

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others R language Tutorials

Advanced R Course

Others related eBooks about R language eBook for professionals

Algorithmic Problem Solving with Python

This book uses Python to introduce folks to programming and algorithmic thinking. It is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. ...

An Introduction to C & GUI Programming

Download free course An Introduction to C & GUI Programming, pdf file on 156 pages by by Simon Long....

C++ programming tutorial for professionals

Download free C++ language tutorial course in PDF, training file in 146 chapters and 708 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Making Games with Python & Pygame

Download free course Making Games with Python & Pygame, pdf file on 365 pages by Al Sweigart....

Ruby on Rails Notes for Professionals

Download free course Ruby on Rails Notes for Professionals, pdf file on 230 pages by Stack Overflow Community....

Algorithms

Algorithms are the lifeblood of computer science. They are the machines that proofs build ..., download free Algorithms tutorial in PDF (472 pages) created by Jeff Erickson ....

Swift Programming Tutorial

Download free Swift tutorial course in PDF, training file in 60 chapters and 291 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Modern Java EE Design Patterns

Download free course Modern Java EE Design Patterns, pdf file on 67 pages by Markus Eisele....

Learning JavaScript

Download free course Learning JavaScript, pdf file on 630 pages by Stack Overflow Community....

Learning C++

Learn C ++ language step by step, complete PDF tutorial on 920 free download pages created by StackOverFlow....