# Software tutorial

From Statistics for Engineering

Revision as of 07:06, 12 August 2018 by Kevin Dunn (talk | contribs)

The tutorial below is intended to be a self-directed learning experience for the R statistical language. (Another highly-recommended tutorial is available here)

- About the course software
- Software installation
- Getting started
- Reading data into R
- Basic data manipulation in R
- Basic plots in R
- Plots with multiple series, colour, and legends
- Histograms
- Annotating plots: grid lines, arrows, lines, and identifying interesting points
- Dealing with factors (categorical variables)
- Calculating statistics from a data sample
- Dealing with distributions
- Extending R with packages
- Programming in R: loops and flow control
- Vectors and matrices
- Building a least squares model in R
- Extracting information from a linear model in R
- Testing a linear model in R
- Transformation of data in a linear model
- Investigating outliers, discrepancies and other influential points
- Linear models with multiple X-variables (MLR)
- Linear models with integer variables

- Want tutorials on other topics: please email me

Not every aspect about R can be covered with our tutorial (above). Here are some additional resources.

- Wikipedia page about R
- Another good tutorial, Quick-R: follow the links on the left-hand side
- The two-minute tutorials on many R-related aspects