Course Outline

Introduction and Preliminaries for Government

  • Enhancing User-Friendliness of R and Available GUIs
  • The R Environment for Government Use
  • Related Software and Documentation for Government Operations
  • R and Statistical Analysis in Government
  • Interactive Usage of R for Government Tasks
  • An Initial Session with R for Government Users
  • Accessing Help for Functions and Features in R for Government
  • R Commands, Case Sensitivity, and Other Syntax Considerations for Government
  • Recalling and Correcting Previous Commands for Government Efficiency
  • Executing Commands from or Redirecting Output to a File for Government Record-Keeping
  • Data Permanency and Object Management for Government Data Integrity

Simple Manipulations: Numbers and Vectors for Government

  • Vectors and Assignment in R for Government Data Handling
  • Vector Arithmetic for Government Calculations
  • Generating Regular Sequences for Government Applications
  • Logical Vectors for Government Decision-Making
  • Handling Missing Values in Government Datasets
  • Character Vectors for Government Text Data
  • Selecting and Modifying Subsets of a Dataset for Government Analysis
  • Other Types of Objects in R for Government Use

Objects, Their Modes, and Attributes for Government

  • Intrinsic Attributes: Mode and Length for Government Data Management
  • Changing the Length of an Object for Government Flexibility
  • Getting and Setting Attributes for Government Customization
  • The Class of an Object for Government Classification

Ordered and Unordered Factors for Government

  • A Specific Example for Government Use
  • The tapply() Function and Ragged Arrays for Government Data Analysis
  • Ordered Factors for Government Categorical Data

Arrays and Matrices for Government

  • Arrays in R for Government Data Structures
  • Array Indexing: Subsections of an Array for Government Data Access
  • Index Matrices for Government Data Manipulation
  • The array() Function
    • Mixed Vector and Array Arithmetic: The Recycling Rule for Government Efficiency
  • The Outer Product of Two Arrays for Government Calculations
  • Generalized Transpose of an Array for Government Data Transformation
  • Matrix Facilities
    • Matrix Multiplication for Government Operations
    • Linear Equations and Inversion for Government Problem Solving
    • Eigenvalues and Eigenvectors for Government Mathematical Analysis
    • Singular Value Decomposition and Determinants for Government Data Integrity
    • Least Squares Fitting and the QR Decomposition for Government Statistical Models
  • Forming Partitioned Matrices with cbind() and rbind() for Government Data Aggregation
  • The Concatenation Function, c(), with Arrays for Government Data Combination
  • Frequency Tables from Factors for Government Data Summarization

Lists and Data Frames for Government

  • Lists in R for Government Data Organization
  • Constructing and Modifying Lists for Government Flexibility
    • Concatenating Lists for Government Data Integration
  • Data Frames for Government Data Management
    • Making Data Frames for Government Data Collection
    • attach() and detach() Functions for Government Data Access
    • Working with Data Frames for Government Data Analysis
    • Attaching Arbitrary Lists for Government Data Customization
    • Managing the Search Path for Government Data Efficiency

Reading Data from Files for Government

  • The read.table() Function for Government Data Import
  • The scan() Function for Government Data Input
  • Accessing Built-In Datasets for Government Use
    • Loading Data from Other R Packages for Government Resources
  • Editing Data for Government Accuracy

Probability Distributions for Government

  • R as a Set of Statistical Tables for Government Reference
  • Examining the Distribution of a Dataset for Government Analysis
  • One- and Two-Sample Tests for Government Hypothesis Testing

Grouping, Loops, and Conditional Execution for Government

  • Grouped Expressions for Government Data Processing
  • Control Statements for Government Programming
    • Conditional Execution: if Statements for Government Decision-Making
    • Repetitive Execution: for Loops, repeat, and while for Government Automation

Writing Your Own Functions for Government

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

Statistical Models in R for Government

  • Defining Statistical Models: Formulae for Government Analysis
    • Contrasts for Government Data Comparison
  • Linear Models for Government Regression Analysis
  • Generic Functions for Extracting Model Information for Government Insights
  • Analysis of Variance and Model Comparison for Government Decision-Making
    • ANOVA Tables for Government Statistical Testing
  • Updating Fitted Models for Government Data Refinement
  • Generalized Linear Models for Government Advanced Analysis
    • Families of Distributions for Government Model Selection
    • The glm() Function for Government Generalized Regression
  • Nonlinear Least Squares and Maximum Likelihood Models for Government Complex Data
  • Some Non-Standard Models for Government Specialized Analysis

Graphical Procedures for Government

  • High-Level Plotting Commands for Government Visualization
    • The plot() Function for Government Basic Plots
    • Displaying Multivariate Data for Government Complex Visualizations
    • Display Graphics for Government Presentations
    • Arguments to High-Level Plotting Functions for Government Customization
  • Low-Level Plotting Commands for Government Fine-Tuning
    • Mathematical Annotation for Government Precision
    • Hershey Vector Fonts for Government Text in Plots
  • Interacting with Graphics for Government User Experience
  • Using Graphics Parameters for Government Control
    • Permanent Changes: The par() Function for Government Settings
    • Temporary Changes: Arguments to Graphics Functions for Government Flexibility
  • Graphics Parameters List for Government Configuration
    • Graphical Elements for Government Plot Components
    • Axes and Tick Marks for Government Data Scales
    • Figure Margins for Government Layout
    • Multiple Figure Environment for Government Multi-Plot Displays
  • Device Drivers for Government Output
    • PostScript Diagrams for Typeset Documents in Government Publications
    • Multiple Graphics Devices for Government Multi-Output Support
  • Dynamic Graphics for Government Interactive Analysis

Packages for Government

  • Standard Packages for Government Core Functionality
  • Contributed Packages and CRAN for Government Additional Resources
  • Namespaces for Government Data Encapsulation

Requirements

A solid grasp of statistical principles is essential for government professionals to effectively analyze and interpret data-driven insights.

 21 Hours

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