Introduction
A choreographed GUI introductory session with a prepared dataset:
- Import the dataset
- Summarize the data
- Fit a linear regression model
- Graph the model fit
- Export the graph into MS Word
Having done this, we will repeat the same tasks using the command line.
Basic statistics
Overview of statistical analyses in the GUI, perform a couple of classical tests of significance and fit some regression models. Repeat in the command line.
Linear models
Linear models (Anova, LM, GLM) in detail, mainly in the command line which offers a suite of helping functions for linear modelling. Local regression (Loess) will also be covered in this session.
Graphics
Overview of plots in the GUI, create a few different plots including multi-panel with marginal labels. Repeat in the command line, which offers a large number of plot arguments to arrange and overlay graphs. Devices to export graphics to various file formats will also be covered in this session.
Data manipulation
Introduction to some of the fundamental aspects of the S language:
- Overview of available help (built-in, manuals, books)
- Data objects and manipulation (vectors, matrices, lists, data frames)
- Importing and exporting data in various formats (text, Excel, Access)
- Managing multiple projects (organizing your work in S-Plus)
Programming
Introduction to S programming, implementing a generalized function that automates the tasks from the first session. A brief comparison of S-Plus and R will also be covered in this session.