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
Downloads:	97
Created:	2019-04-30

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