Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
Testimonials (3)
We had many varying levels of skill in the class which created the need for more thorough explanations at times to ensure understanding. Pace and structure was generally pleasant.
Gary Munn - Vodacom
Course - Introduction to R
Hands on examples were the most helpful.
Sean Kaukas
Course - Introduction to R
I genuinely enjoyed working 1:1 with Gunner.