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Course Outline
Introduction and Preliminaries for Government
- Making R more user-friendly, including available GUIs for government
- The R environment for government
- Related software and documentation for government
- R and statistics for government
- Using R interactively for government
- An introductory session for government
- Getting help with functions and features for government
- R commands, case sensitivity, etc., for government
- Recall and correction of previous commands for government
- Executing commands from or diverting output to a file for government
- Data permanency and removing objects for government
Simple Manipulations; Numbers and Vectors for Government
- Vectors and assignment for government
- Vector arithmetic for government
- Generating regular sequences for government
- Logical vectors for government
- Missing values for government
- Character vectors for government
- Index vectors; selecting and modifying subsets of a data set for government
- Other types of objects for government
Objects, Their Modes and Attributes for Government
- Intrinsic attributes: mode and length for government
- Changing the length of an object for government
- Getting and setting attributes for government
- The class of an object for government
Ordered and Unordered Factors for Government
- A specific example for government
- The function tapply() and ragged arrays for government
- Ordered factors for government
Arrays and Matrices for Government
- Arrays for government
- Array indexing. Subsections of an array for government
- Index matrices for government
- The array() function for government
- Mixed vector and array arithmetic. The recycling rule for government
- The outer product of two arrays for government
- Generalized transpose of an array for government
- Matrix facilities for government
- Matrix multiplication for government
- Linear equations and inversion for government
- Eigenvalues and eigenvectors for government
- Singular value decomposition and determinants for government
- Least squares fitting and the QR decomposition for government
- Forming partitioned matrices, cbind() and rbind() for government
- The concatenation function, (), with arrays for government
- Frequency tables from factors for government
Lists and Data Frames for Government
- Lists for government
- Constructing and modifying lists for government
- Concatenating lists for government
- Data frames for government
- Making data frames for government
- attach() and detach() for government
- Working with data frames for government
- Attaching arbitrary lists for government
- Managing the search path for government
Reading Data from Files for Government
- The read.table() function for government
- The scan() function for government
- Accessing built-in datasets for government
- Loading data from other R packages for government
- Editing data for government
Probability Distributions for Government
- R as a set of statistical tables for government
- Examining the distribution of a set of data for government
- One- and two-sample tests for government
Grouping, Loops and Conditional Execution for Government
- Grouped expressions for government
- Control statements for government
- Conditional execution: if statements for government
- Repetitive execution: for loops, repeat and while for government
Writing Your Own Functions for Government
- Simple examples for government
- Defining new binary operators for government
- Named arguments and defaults for government
- The '...' argument for government
- Assignments within functions for government
- More advanced examples for government
- Efficiency factors in block designs for government
- Dropping all names in a printed array for government
- Recursive numerical integration for government
- Scope for government
- Customizing the environment for government
- Classes, generic functions and object orientation for government
Statistical Models in R for Government
- Defining statistical models; formulae for government
- Contrasts for government
- Linear models for government
- Generic functions for extracting model information for government
- Analysis of variance and model comparison for government
- ANOVA tables for government
- Updating fitted models for government
- Generalized linear models for government
- Families for government
- The glm() function for government
- Nonlinear least squares and maximum likelihood models for government
- Least squares for government
- Maximum likelihood for government
- Some non-standard models for government
Graphical Procedures for Government
- High-level plotting commands for government
- The plot() function for government
- Displaying multivariate data for government
- Display graphics for government
- Arguments to high-level plotting functions for government
- Low-level plotting commands for government
- Mathematical annotation for government
- Hershey vector fonts for government
- Interacting with graphics for government
- Using graphics parameters for government
- Permanent changes: The par() function for government
- Temporary changes: Arguments to graphics functions for government
- Graphics parameters list for government
- Graphical elements for government
- Axes and tick marks for government
- Figure margins for government
- Multiple figure environment for government
- Device drivers for government
- PostScript diagrams for typeset documents for government
- Multiple graphics devices for government
- Dynamic graphics for government
Packages for Government
- Standard packages for government
- Contributed packages and CRAN for government
- Namespaces for government
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.
