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R news and tutorials contributed by (552) R bloggers

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In this post, I use a simulated dataset (7 variables -3 factor and 4 numeric - and a sample size of 50) to create graphs/charts using base R, and replicate them using ggplot2, and rCharts. This is not an attempt to create an exhaustive database of grap...

I haven’t used interaction terms in (generalized) linear model quite often yet. However, recently I have had some situations where I tried to compute regression models with interaction terms and was wondering how to interprete the results. Just looking at the estimates won’t help much in such cases. One approach used by some people is

Two interesting articles in recent issues of The Atlantic linked sports to tax-payer dollars. The first few lines of Gregg Easterbrook’s article, titled How the NFL Fleeces Taxpayers, were: “Taxpayers fund the stadiums, antitrust law doesn't apply to broadcast deals, the league enjoys nonprofit status, and Commissioner Roger Goodell makes $30 million a year. It's...

The rather new-born Budapest Users of R Network, the only Hungarian R User Group so far, with already 85+ members, continues its really young traditions to have talks on data visualization and providing a place for Hungarian R users to socialize while having some free pizza and drinks.Our next session will focus on...

I have a standard code for ggplot2 which I use to make line graphs, scatter plots, and histograms. For lines or scatters: p<- ggplot(x, aes(x=Year, y=Rank, colour=Uni, group=Uni)) #colour lines by variable Uni #group Uni labelled variables in the same line Then: p + #you get an error if not for this step geom_line(size=1.2) +

The ideas for most of my blogs usually come from half-baked attempts to create some neat or useful feature that hasn’t been implemented in R. These ideas might come from some analysis I’ve used in my own research or from some other creation meant to save time. More often than not, my blogs are motivated