The ggplot2 package offers powerful tools to plot data in R. The plots are designed to comply with the “grammar of graphics” philosophy and can be produced to a publishable level relatively easily. For users wishing to create a good map without too much thought I would recommend this worksheet. For those without their own
Last week I was shown the results of a workplace happiness questionnaire. The plots were ripe for a makeover. Most obviously, the pointless 3D effect needs removing, and the colour scheme is badly chosen.
As this year's admin, I wrote up the following summary which has now been posted at the R site in the appropriate slot. My thanks to this year's students, fellow mentors and everybody else who helped to make it happen.
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As this year's admin, I wrote up the following summary which has now been posted at the R site in the appropriate slot. My thanks to this year's students, fellow mentors and everybody else who helped to make it happen.
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As this year's admin, I wrote up the following summary which has now been posted at the R site in the appropriate slot. My thanks to this year's students, fellow mentors and everybody else who helped to make it happen. Projects 2010 As in 2008 a...
Just announced: World Bank Data features and data are available. Previous posts have demonstrated how to access and plot this data using R (including the use of the R WDI package). The chart above can be created using the following pr...
Just announced: World Bank Data features and data are available. Previous posts have demonstrated how to access and plot this data using R (including the use of the R WDI package). The chart above can be created using the following pr...
"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Hadley Wickham Profession: Assistant Professor of Statistics, Rice University Nationality: New Zealand Years Using R: 10 Known for: Developing popular R packages including ggplot2, plyr, reshape; creator of crantastic.org; author of ggplot2: Elegant Graphics for Data Analysis An Assistant Professor...
We use frameworks like Ruby on Rails or ProjectTemplate to minimize the time we spend on irrelevant details. By definition, an irrelevant detail isn’t of interest to us. But how can we tell which details are irrelevant? This isn’t a trivial task and it seems to be, on the surface, a profoundly subjective matter. Thankfully,
Jeff Kelly of Tech Target has just published a feature article about R. While R has been around for almost 20 years now (R&R first started the project in 1993), "its time may have finally come", he says. One thing I really like about the article is how well it highlights R's flexibility and "top-notch" data visualizations. It includes...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
