R for Data Science

Index

Symbols

• %%, Useful Creation Functions
• %/%, Useful Creation Functions
• %>% (see the pipe (%>%))
• &, Logical Operators
• &&, Logical Operators, Conditions
• ==, Conditions
• |, Logical Operators
• ||, Logical Operators, Conditions
• …, Dot-Dot-Dot (…)

A

• accumulate(), Reduce and Accumulate
• add_predictions(), Predictions
• add_residuals(), Residuals
• aes(), Aesthetic Mappings, Modifying Factor Order
• aesthetic mappings, Aesthetic Mappings-Exercises
• aesthetics, defined, Aesthetic Mappings
• all(), Conditions
• An Introduction to Statistical Learning, Learning More About Models
• analysis notebooks, R Markdown Workflow-R Markdown Workflow
• annotations, Annotations-Exercises
• anti-joins, Filtering Joins
• anti_join(), Join Problems
• any(), Conditions
• apropos(), Other Uses of Regular Expressions
• arguments, Function Arguments-Exercises
  • checking values, Checking Values-Checking Values
  • dot-dot-dot (…), Dot-Dot-Dot (…)
  • mapping over multiple, Mapping over Multiple Arguments-Walk
  • naming, Choosing Names
• arithmetic operators, Useful Creation Functions
• arrange(), Arrange Rows with arrange()-Exercises
• ASCII, Strings
• assign(), Use the Pipe
• as_date(), From Other Types
• as_datetime(), From Other Types
• atomic vectors, Vector Basics
  • character, Character
  • coercion and, Coercion-Coercion
  • logical, Logical
  • missing values, Missing Values
  • naming, Naming Vectors
  • numeric, Numeric-Character
  • scalars and recycling rules, Scalars and Recycling Rules-Naming Vectors
  • subsetting, Subsetting
  • test functions, Test Functions
• attributes(), Attributes-Attributes
• augmented vectors, Vector Basics ...