Difference between revisions of "Software tutorial"
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# [[Software tutorial/Getting started|Getting started]] | # [[Software tutorial/Getting started|Getting started]] | ||
# [[Software tutorial/Reading data into R|Reading data into R]] | # [[Software tutorial/Reading data into R|Reading data into R]] | ||
# [[Software tutorial/Basic data manipulation in R|Basic data manipulation in R]] | |||
# [[Software tutorial/Basic plots in R|Basic plots in R]] | |||
# [[Software tutorial/Plots with multiple series, colour, and legends|Plots with multiple series, colour, and legends]] | |||
# [[Software tutorial/Histograms|Histograms]] | |||
# [[Software tutorial/Annotating plots: grid lines, arrows, lines, and identifying interesting points|Annotating plots: grid lines, arrows, lines, and identifying interesting points]] | |||
# [[Software tutorial/Dealing with factors (categorical variables)|Dealing with factors (categorical variables)]] | |||
# [[Software tutorial/Calculating statistics from a data sample|Calculating statistics from a data sample]] | |||
# [[Software tutorial/Dealing with distributions|Dealing with distributions]] | |||
# [[Software tutorial/Extending R with packages|Extending R with packages]] | |||
# [[Software tutorial/Programming in R: loops and flow control|Programming in R: loops and flow control]] | |||
# [[Software tutorial/Vectors and matrices|Vectors and matrices]] | |||
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# 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 --> | |||
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Revision as of 01:59, 15 January 2013
This tutorial will expand as we progress in the course.
- 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
- Want tutorials on other topics: please email me
- A note about the videos in this tutorial: they are from Rodger Peng's YouTube channel on R Videos. He is running a MOOC on Computing for Data Analysis which started on 2 January, and is currently running.