- Revolution Analytics publishes a number of useful R articles: 15 tips on computing with Big Data for those R users who need to handle large datasets efficiently, Combining the Power of DeployR, rCharts, and AngularJS for data visualization, K-means Clustering 86 Single Malt Scotch Whiskies for clustering analysis, and How to ask for R help when you need it.
- Should there be a Nobel prize in statistics? Xi’an and Gelman discuss their views and thoughts on this.
- Radford Neal of University of Toronto has released a new version of his pqR (pretty quick R). The biggest improvement in this version is that vector operations are sped up using task merging, and the software now has a new logo and its own website.
- Rasmus Bååth, a PhD student at Lund University in Sweden, designs three mascots for of Bayesian Statistics. Have a look at them and let him know which one is your favorite! In another post, Rasmus admits that the confidence interval is a tricky concept for him to grasp when he was a student, and created an animation of the construction of a confidence interval for those who are also not 100% sure where this concept came from.
- Statistics Done Wrong – the woefully complete guide to the most popular statistical errors and slip-ups committed by scientists every day.
- Last, but not least, an introduction to integrating R with Google Map via the R package ggmap.
And finally, Statistics Blog wishes everyone Happy New Year!
Well, I’m still not sure if I understand confidence intervals… Sure I know what they are but I don’t realy grok what question the confidence interval really answers. Credible intervals, on the other hand, are very clear and intuitive to me…
“Statistics done wrong” links to “an animation of the construction of a confidence interval” fyi
Thanks! Fixed.