A survivor's guide to R : an introduction for the uninitiated and the unnerved /: an introduction for the uninitiated and the unnerved. (2014)

• Record Type: Book
• Further Information: Note: Kurt Taylor Gaubatz.
• Authors: Gaubatz, Kurt Taylor
• Contents: 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?;
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2014
• Extent: 1 online resource
• Subjects: 005.262; Statistics -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781483346885
• Related ISBNs: 9781483346731
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.