quick-index.md

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Doing data analysis with R: My Way

Fall 2013: I am (finally) marshalling my teaching materials in one place and exploiting modern tools! Here I index my growing arsenal. This is unfolding in the context of the 2013 instance of STAT 545A Exploratory Data Analysis, so you can find source in the course github repository

• Get R, RStudio, and some add-on packages set up
• Basics of R/RStudio, workspaces, and projects
• Basic care and feeding of data in R
• R objects (beyond data.frames) and indexing
• Data aggregation with plyr
• Getting data out of R
• External resources on writing your own functions PLACEHOLDER
• Overview of the R graphics landscape
• Exploring a quantitative variable with lattice
• Be the boss of your factors UNDER DEVELOPMENT
• Exploring the relationship between two quantitative variables: A quick tour of `xyplot()

• Gateway to more advanced lattice usage
• Overview of using colors in R
• Mapping a factor into a color in base graphics (doubles as a nice introduction to match() and merge())
• Taking control of qualitative colors in lattice
• Taking control of qualitative colors in ggplot2
• Side-by-side comparisons of lattice and ggplot2 plots
• R coding style and organizing analytical projects

Smaller topics, in the approximate order in which students ask about them

• Note on custom CSS, triggered by making attractive HTML tables in the data aggregation tutorial
• To tidy or not to tidy? re: code tidying in knitr
• Writing a figure to file
• Make browsing a GitHub repository more rewarding

Stuff that's deprecated or needs freshening but that's not totally embarrassing

• Data aggregation with built-in functions
• Intro to lattice graphics

This work is licensed under the CC BY-NC 3.0 Creative Commons License.