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R For Dummies
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cheat sheet.
Table of Contents
About This Book
Conventions Used in This Book
What You’re Not to Read
Foolish Assumptions
How This Book Is Organized
Part I: R You Ready?
Part II: Getting Down to Work in R
Part III: Coding in R
Part IV: Making the Data Talk
Part V: Working with Graphics
Part VI: The Part of Tens
Icons Used in This Book
Where to Go from Here
Part I: R You Ready?
Chapter 1: Introducing R: The Big Picture
Recognizing the Benefits of Using R
It comes as free, open-source code
It runs anywhere
It supports extensions
It provides an engaged community
It connects with other languages
Looking At Some of the Unique Features of R
Performing multiple calculations with vectors
Processing more than just statistics
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Running code without a compiler
Chapter 2: Exploring R
Working with a Code Editor
Exploring RGui
Dressing up with RStudio
Starting Your First R Session
Saying hello to the world
Doing simple math
Using vectors
Storing and calculating values
Talking back to the user
Sourcing a Script
Navigating the Workspace
Manipulating the content of the workspace
Saving your work
Retrieving your work
Chapter 3: The Fundamentals of R
Using the Full Power of Functions
Vectorizing your functions
Putting the argument in a function
Making history
Keeping Your Code Readable
Following naming conventions
Structuring your code
Adding comments
Getting from Base R to More
Finding packages
Installing packages
Loading and unloading packages
Part II: Getting Down to Work in R
Chapter 4: Getting Started with Arithmetic
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Working with Numbers, Infinity, and Missing Values
Doing basic arithmetic
Using mathematical functions
Calculating whole vectors
To infinity and beyond
Organizing Data in Vectors
Discovering the properties of vectors
Creating vectors
Combining vectors
Repeating vectors
Getting Values in and out of Vectors
Understanding indexing in R
Extracting values from a vector
Changing values in a vector
Working with Logical Vectors
Comparing values
Using logical vectors as indices
Combining logical statements
Summarizing logical vectors
Powering Up Your Math with Vector Functions
Using arithmetic vector operations
Recycling arguments
Chapter 5: Getting Started with Reading and Writing
Using Character Vectors for Text Data
Assigning a value to a character vector
Creating a character vector with more than one element
Extracting a subset of a vector
Naming the values in your vectors
Manipulating Text
String theory: Combining and splitting strings
Sorting text
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Finding text inside text
Substituting text
Revving up with regular expressions
Factoring in Factors
Creating a factor
Converting a factor
Looking at levels
Distinguishing data types
Working with ordered factors
Chapter 6: Going on a Date with R
Working with Dates
Presenting Dates in Different Formats
Adding Time Information to Dates
Formatting Dates and Times
Performing Operations on Dates and Times
Addition and subtraction
Comparison of dates
Chapter 7: Working in More Dimensions
Adding a Second Dimension
Discovering a new dimension
Combining vectors into a matrix
Using the Indices
Extracting values from a matrix
Replacing values in a matrix
Naming Matrix Rows and Columns
Changing the row and column names
Using names as indices
Calculating with Matrices
Using standard operations with matrices
Calculating row and column summaries
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Doing matrix arithmetic
Adding More Dimensions
Creating an array
Using dimensions to extract values
Combining Different Types of Values in a Data Frame
Creating a data frame from a matrix
Creating a data frame from scratch
Naming variables and observations
Manipulating Values in a Data Frame
Extracting variables, observations, and values
Adding observations to a data frame
Adding variables to a data frame
Combining Different Objects in a List
Creating a list
Extracting elements from lists
Changing the elements in lists
Reading the output of str() for lists
Seeing the forest through the trees
Part III: Coding in R
Chapter 8: Putting the Fun in Functions
Moving from Scripts to Functions
Making the script
Transforming the script
Using the function
Reducing the number of lines
Using Arguments the Smart Way
Adding more arguments
Conjuring tricks with dots
Using functions as arguments
Coping with Scoping
Crossing the borders
Using internal functions
Dispatching to a Method
Finding the methods behind the function
Doing it yourself
Chapter 9: Controlling the Logical Flow
Making Choices with if Statements
Doing Something Else with an if...else Statement
Vectorizing Choices
Looking at the problem
Choosing based on a logical vector
Making Multiple Choices
Chaining if...else statements
Switching between possibilities
Looping Through Values
Constructing a for loop
Calculating values in a for loop
Looping without Loops: Meeting the Apply Family
Looking at the family features
Meeting three of the members
Applying functions on rows and columns
Applying functions to listlike objects
Chapter 10: Debugging Your Code
Knowing What to Look For
Reading Errors and Warnings
Reading error messages
Caring about warnings (or not)
Going Bug Hunting
Calculating the logit
Knowing where an error comes from
Looking inside a function
Generating Your Own Messages
Creating errors
Creating warnings
Recognizing the Mistakes You’re Sure to Make
Starting with the wrong data
Having your data in the wrong format
Chapter 11: Getting Help
Finding Information in the R Help Files
When you know exactly what you’re looking for
When you don’t know exactly what you’re looking for
Searching the Web for Help with R
Getting Involved in the R Community
Using the R mailing lists
Discussing R on Stack Overflow and Stack Exchange
Tweeting about R
Making a Minimal Reproducible Example
Creating sample data with random values
Producing minimal code
Providing the necessary information
Part IV: Making the Data Talk
Chapter 12: Getting Data into and out of R
Getting Data into R
Entering data in the R text editor
Using the Clipboard to copy and paste
Reading data in CSV files
Reading data from Excel
Working with other data types
Getting Your Data out of R
Working with Files and Folders
Understanding the working directory
Manipulating files
Chapter 13: Manipulating and Processing Data
Deciding on the Most Appropriate Data Structure
Creating Subsets of Your Data
Understanding the three subset operators
Understanding the five ways of specifying the subset
Subsetting data frames
Adding Calculated Fields to Data
Doing arithmetic on columns of a data frame
Using with and within to improve code readability
Creating subgroups or bins of data
Combining and Merging Data Sets
Creating sample data to illustrate merging
Using the merge() function
Working with lookup tables
Sorting and Ordering Data
Sorting vectors
Sorting data frames
Traversing Your Data with the Apply Functions
Using the apply() function to summarize arrays
Using lapply() and sapply() to traverse a list or data
Using tapply() to create tabular summaries
Getting to Know the Formula Interface
Whipping Your Data into Shape
Understanding data in long and wide format
Getting started with the reshape2 package
Melting data to long format
Casting data to wide format
Chapter 14: Summarizing Data
Starting with the Right Data
Using factors or numeric data
Counting unique values
Preparing the data
Describing Continuous Variables
Talking about the center of your data
Describing the variation
Checking the quantiles
Describing Categories
Counting appearances
Calculating proportions
Finding the center
Describing Distributions
Plotting histograms
Using frequencies or densities
Describing Multiple Variables
Summarizing a complete dataset
Plotting quantiles for subgroups
Tracking correlations
Working with Tables
Creating a two-way table
Converting tables to a data frame
Looking at margins and proportions
Chapter 15: Testing Differences and Relations
Taking a Closer Look at Distributions
Observing beavers
Testing normality graphically
Using quantile plots
Testing normality in a formal way
Comparing Two Samples
Testing differences
Comparing paired data
Testing Counts and Proportions
Checking out proportions
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