A Survivor's Guide to R

Chapter 1: Getting Started Things Your Statistics Class Probably Won't Teach You Why R? Statistical Modeling A Few R Basics Saving Your Work R Packages Help with R Help Organization of this Book Chapter 2: A Sample Session Reviewing Your Data Data Visualization Hypothesis Testing for Fun and Profit A Regression Model A Nonlinear Model Chapter 3: Object Types in R R Objects And Their Names How to Think about Data Objects in R R Object Storage Modes R Data Object Types The Basic Data Objects: Vectors The Basic Data Objects: Matrices and Their Indices The Basic Data Objects: Data Frames The Basic Data Objects: Lists A Few Things about Working with Objects Object Attributes Objects and Environments R Object Classes The Pseudo Storage Modes Date and Time as a Storage Modes Factors Coercing Storage Modes The Curse of Number-Character-Factor Confusion Conclusions Chapter 4: Getting Your Data Into R Entering Data Creating Data Importing Data The Read Command: Overview The Read Command: Reading from the Clipboard The Read Command: Blank Delimited Tables The Read Command: Comma Separated Values The Read Command: Tab Separated Data The Read Command: Fixed-Width Data Importing Foreign File Types Integrating SQL with R Extracting Data from Complex Data Sources Web Scraping Dealing with Multi-Dimensional Data Importing Problematic Characters More Resources Chapter 5: Reviewing and Summarizing Data Summary Functions Checking A Sample Of Your Data Reviewing Data By Categories Displaying Data With A Histogram Displaying Data With A Scatter Plot Scatter Plot Matrices Chapter 6: Sorting and Selecting Data Using Index Values to Select Data Using Conditional Values for Selecting Using Subset( ) with Variable or Row Names to Select Data Splitting a Dataset into Groups Splitting Up Continuous Numeric Data Sorting And Ordering Data Chapter 7: Transforming Data Creating New Variables Editing Data Basic Math with R R Functions Math and Logical Functions in R Truncation and Rounding Functions The Apply( ) Family of Functions Changing Variable Values Conditionally Creating New Functions Additional R Programming Character Strings as Program Elements and Program Elements as Character Strings Chapter 8: Text Operations Some Useful Text Functions Finding Things Regular Expressions Processing Raw Text Data Scraping the Web for Fun And Profit Chapter 9: Working With Date And Time DataDates in R Dates in R Formatting Dates for R Working with POSIX Dates Special Date Operations Formatting Dates for Output Time Series Data Creating Moving Averages in Time-Series Data Lagged Variables in Time-Series Data Differencing Variables in Time-Series Data The Limitations of ts Data Chapter 10: Data Merging And Aggregation Dataset Concatenation Match Merging Keyed Table Look-up Merging Aggregating Data Transposing and Rotating Datasets Chapter 11: Dealing with Missing Data Reading Data with Missing Values Summarizing Missing Values The Missing Values Functions Recoding Missing Values Missing Values And Regression Modeling Visualizing Missing Data Chapter 12: R Graphics I: The Built-in Plots Scatter Plots Pairs Plots Line Plots Box Plots Histograms, Density Plots, and Bar Charts Dot Charts Pie Charts Mosaic Plots Conclusions Chapter 13: R Graphics II: The Boring Stuff The Graphics Device Graphics Parameters The Plot Layout Graphic Coordinates in R Overlaying Plots Multiple Plots Conclusions Chapter 14: R Graphics III: The Fun Stuff--Text Adding Text Setting up a Font Titles and Subtitles Creating a Legend Simple Axes and Axis Labels Building More Complex Axes Ad-hoc Text Chapter 15: R Graphics IV: The Fun Stuff--Shapes Doing Colors Custom Points Adding Lines Shapes Incorporating Images into Plots A Final Word about Aesthetics Chapter 16 from Here to Where?