R Programming for Data Analysis Training Course

Introduction and Preliminaries

• Enhancing the User Experience with R and Available GUIs
• RStudio for Government Users
• Related Software and Documentation for Government Applications
• R in Statistical Analysis for Government Operations
• Interactive Use of R for Government Data Analysis
• An Introductory Session for Government Analysts
• Accessing Help with Functions and Features in R for Government Users
• Understanding R Commands, Case Sensitivity, and Other Basics
• Recalling and Correcting Previous Commands in R for Government Workflows
• Executing Commands from or Diverting Output to a File for Government Projects
• Data Permanency and Object Management in R for Government Applications

Simple Manipulations: Numbers and Vectors

• Vectors and Assignment in R for Government Data Analysis
• Vector Arithmetic for Government Data Operations
• Generating Regular Sequences in R for Government Use
• Logical Vectors for Government Data Validation
• Handling Missing Values in R for Government Datasets
• Character Vectors for Government Text Data
• Index Vectors: Selecting and Modifying Subsets of Data in R for Government Applications
• Other Types of Objects in R for Government Use

Objects, Their Modes, and Attributes

• Intrinsic Attributes: Mode and Length in R for Government Data
• Changing the Length of an Object in R for Government Workflows
• Getting and Setting Attributes in R for Government Applications
• The Class of an Object in R for Government Use

Arrays and Matrices

• Arrays in R for Government Data Analysis
• Array Indexing: Subsections of an Array for Government Use
• Index Matrices for Government Data Operations
• The array() Function in R for Government Applications
• The Outer Product of Two Arrays in R for Government Data
• Generalized Transpose of an Array in R for Government Use
• Matrix Facilities in R for Government Data Analysis
  • Matrix Multiplication in R for Government Applications
  • Solving Linear Equations and Inversion in R for Government Data
  • Eigenvalues and Eigenvectors in R for Government Use
  • Singular Value Decomposition and Determinants in R for Government Operations
  • Least Squares Fitting and the QR Decomposition in R for Government Data Analysis
• Forming Partitioned Matrices with cbind() and rbind() in R for Government Use
• The Concatenation Function, c(), with Arrays in R for Government Applications
• Frequency Tables from Factors in R for Government Data Analysis

Lists and Data Frames

• Lists in R for Government Data Management
• Constructing and Modifying Lists in R for Government Applications
  • Concatenating Lists in R for Government Use
• Data Frames in R for Government Data Analysis
  • Creating Data Frames in R for Government Applications
  • Using attach() and detach() in R for Government Data Workflows
  • Working with Data Frames in R for Government Use
  • Attaching Arbitrary Lists in R for Government Data Analysis
  • Managing the Search Path in R for Government Applications

Data Manipulation

• Selecting and Subsetting Observations and Variables in R for Government Data Analysis
• Filtering and Grouping Data in R for Government Applications
• Recoding and Transforming Data in R for Government Use
• Aggregating and Combining Datasets in R for Government Operations
• Character Manipulation with the stringr Package in R for Government Data Analysis

Reading Data

• Importing Text Files into R for Government Use
• Importing CSV Files into R for Government Applications
• Importing XLS and XLSX Files into R for Government Data Analysis
• Importing SPSS, SAS, Stata, and Other Formats into R for Government Operations
• Exporting Data to Text, CSV, and Other Formats in R for Government Use
• Accessing Data from Databases Using SQL Language in R for Government Applications

Probability Distributions

• Using R as a Set of Statistical Tables for Government Data Analysis
• Examining the Distribution of a Dataset in R for Government Applications
• One- and Two-Sample Tests in R for Government Use

Grouping, Loops, and Conditional Execution

• Grouped Expressions in R for Government Data Analysis
• Control Statements in R for Government Applications
  • Conditional Execution: If Statements in R for Government Use
  • Repetitive Execution: For Loops, Repeat, and While in R for Government Data Analysis

Writing Your Own Functions

• Simple Examples of Custom Functions in R for Government Use
• Defining New Binary Operators in R for Government Applications
• Named Arguments and Defaults in R for Government Data Analysis
• The '...' Argument in R for Government Workflows
• Assignments Within Functions in R for Government Use
• More Advanced Examples of Custom Functions in R for Government Applications
  • Efficiency Factors in Block Designs in R for Government Data Analysis
  • Dropping All Names in a Printed Array in R for Government Use
  • Recursive Numerical Integration in R for Government Operations
• Scope of Functions in R for Government Data Analysis
• Customizing the Environment in R for Government Applications
• Classes, Generic Functions, and Object Orientation in R for Government Use

Graphical Procedures

• High-Level Plotting Commands in R for Government Data Visualization
  • The plot() Function in R for Government Use
  • Displaying Multivariate Data in R for Government Applications
  • Display Graphics in R for Government Data Analysis
  • Arguments to High-Level Plotting Functions in R for Government Operations
• Basic Visualization Graphs in R for Government Data Analysis
• Multivariate Relations with Lattice and ggplot Packages in R for Government Use
• Using Graphics Parameters in R for Government Applications
• Graphics Parameters List in R for Government Data Visualization

Automated and Interactive Reporting

• Combining Output from R with Text for Government Reports