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R Notes for Professionals

R Notes for Professionals

Download free course R Notes for Professionals, pdf file on 474 pages by Stack Overflow Community.
The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

Table of contents

  • Getting started with R Language
  • Variables
  • Arithmetic Operators
  • Matrices
  • Formula
  • Reading and writing strings
  • String manipulation with stringi package
  • Classes
  • Lists
  • Hashmaps
  • Creating vectors
  • Date and Time
  • The Date class
  • Date-time classes (POSIXct and POSIXlt)
  • The character class
  • Numeric classes and storage modes
  • The logical class
  • Data frames
  • Split function
  • Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
  • Pipe operators (%>% and others)
  • Linear Models (Regression)
  • data.table
  • Pivot and unpivot with data.table
  • Bar Chart
  • Base Plotting
  • boxplot
  • ggplot2
  • Factors
  • Pattern Matching and Replacement
  • Run-length encoding
  • Speeding up tough-to-vectorize code
  • Introduction to Geographical Maps
  • Set operations
  • tidyverse
  • Rcpp
  • Random Numbers Generator
  • Parallel processing
  • Subsetting
  • Debugging
  • Installing packages
  • Inspecting packages
  • Creating packages with devtools
  • Using pipe assignment in your own package %<>%: How to ?
  • Arima Models
  • Distribution Functions
  • Shiny
  • spatial analysis
  • sqldf
  • Code profiling
  • Control flow structures
  • Column wise operation
  • JSON
  • lubridate
  • Time Series and Forecasting
  • strsplit function
  • Web scraping and parsing
  • Generalized linear models
  • Reshaping data between long and wide forms
  • RMarkdown and knitr presentation
  • 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
  • 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

Pages : 474
File type : PDF
Downloads: 10
Submitted On: 2022-02-03
License: CC BY-SA
Author(s): Stack Overflow Community

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