Duration
3 days
Overview
- History of R
- Advantages and disadvantages
- Downloading and installing
- How to find documentation
Introduction
- Using the R console
- Getting help
- Learning about the environment
- Writing and executing scripts
- Saving your work
Installing Packages
- Finding resources
- Installing resources
Data Structures, Variables
- Variables and assignment
- Data types
- Indexing, subsetting
- Viewing data and summaries
- Naming conventions
- Objects
Getting Data into the R Environment
- Built-in data
- Reading data from structured text files
- Reading data using ODBC
Control Flow
- Truth testing
- Branching
- Looping
- Vectorized calculations
Functions in Depth
- Parameters
- Return values
- Variable scope
- Exception handling
Handling Dates in R
- Date and date-time classes in R
- Formatting dates for modeling
Descriptive Statistics
- Continuous data
- Categorical data
Base Graphics
- Base graphics system in R
- Scatterplots, histograms, barcharts, box and whiskers, dotplots
- Labels, legends, Titles, Axes
- Exporting graphics to different formats
Advanced R Graphics: GGPlot2
- Understanding the grammar of graphics
- Quick plot function
- Building graphics by pieces
CHATBOT APPLICATION
Programme scope, delivery arrangements and suitability are confirmed during enquiry.