 Название: R Notes for Professionals
Автор: Stack Overflow Contributors
Издательство: Stack Overflow Contributors
Год: 2018
Страниц: 475
Язык: английский
Формат: pdf (true), djvu
Размер: 15.9 MB
This R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA, see credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise specified.
This is an unofficial free book created for educational purposes and is not affiliated with official R group(s) or company(s) nor Stack Overflow. All trademarks and registered trademarks are the property of their respective company owners.
Contents:
Chapter 1: Getting started with R Language
Chapter 2: Variables
Chapter 3: Arithmetic Operators
Chapter 4: Matrices
Chapter 5: Formula
Chapter 6: Reading and writing strings
Chapter 7: String manipulation with stringi package
Chapter 8: Classes
Chapter 9: Lists
Chapter 10: Hashmaps
Chapter 11: Creating vectors
Chapter 12: Date and Time
Chapter 13: The Date class
Chapter 14: Date-time classes (POSIXct and POSIXlt)
Chapter 15: The character class
Chapter 16: Numeric classes and storage modes
Chapter 17: The logical class
Chapter 18: Data frames
Chapter 19: Split function
Chapter 20: Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
Chapter 21: Pipe operators (%>% and others)
Chapter 22: Linear Models (Regression)
Chapter 23: data.table
Chapter 24: Pivot and unpivot with data.table
Chapter 25: Bar Chart
Chapter 26: Base Plotting
Chapter 27: boxplot
Chapter 28: ggplot2
Chapter 29: Factors
Chapter 30: Pattern Matching and Replacement
Chapter 31: Run-length encoding
Chapter 32: Speeding up tough-to-vectorize code
Chapter 33: Introduction to Geographical Maps
Chapter 34: Set operations
Chapter 35: tidyverse
Chapter 36: Rcpp
Chapter 37: Random Numbers Generator
Chapter 38: Parallel processing
Chapter 39: Subsetting
Chapter 40: Debugging
Chapter 41: Installing packages
Chapter 42: Inspecting packages
Chapter 43: Creating packages with devtools
Chapter 44: Using pipe assignment in your own package %<>%: How to ?
Chapter 45: Arima Models
Chapter 46: Distribution Functions
Chapter 47: Shiny
Chapter 48: spatial analysis
Chapter 49: sqldf
Chapter 50: Code profiling
Chapter 51: Control flow structures
Chapter 52: Column wise operation
Chapter 53: JSON
Chapter 54: RODBC
Chapter 55: lubridate
Chapter 56: Time Series and Forecasting
Chapter 57: strsplit function
Chapter 58: Web scraping and parsing...
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