My datasets tend to have random factors. I try to stick to general models whenever I can to avoid dealing with both random factors and complex error distributions (not always possible). I am compiling some notes here to avoid visiting … Continue reading → [Read more...]

Here is the poster for the 2nd R in Insurance conference on Monday 14 July 2014 at Cass Business School in London:R in Insurance 2014 conference poster. Download PDF versionImportant dead lines to keep in mind:Abstract submissions: 28 March 2014Early b... [Read more...]

Last year I taught an online course on forecasting using R. The slides and exercise sheets are now available at www.otexts.org/fpp/resources/ [Read more...]

for twenty years now, the centers for disease control and prevention (cdc) has been random-digit-dialing american households to ask parents which vaccinations their little tykes have received.  and since vaccination history might not be at the for... [Read more...]

As we all are marching into the New Year, I would like to post about my plans to become a Data Scientist, my 2014 resolution at Professional front. The term Data Science was first introduced to me a year ago same time. Since then I have started researching and gathering necessary ... [Read more...]

Highlights of the blog over the past year. Most popular posts The posts with the most hits during the year. A practical introduction to garch modeling (posted in 2012) A tale of two returns (posted in 2010) The top 7 portfolio optimization problems (posted in 2012) The number 1 novice quant mistake (posted in 2011) On ... [Read more...]

There is something that I love about mathematics: sometimes, you discover – by chance – a law. It has always been there, it might have been well known by some people (specialized in some given field), but you did not know it. And then, you discover it, and you start wondering how ... [Read more...]

Over the course of the next few days, I'm going to try to find enough time to build up a reasonably simple simulation of insurance exposure and claims. I'll be taking a hierarchical view of the underlying process. As with pretty much everything that I write about, I'm writing about ... [Read more...]

In this post, I look at crime rates (per 100,000 people) in 2012 for different crimes in different states.  Data from FBI's Uniform Crime Reports site were used for this analysis. The methodology used by the FBI and the caveats associated wit... [Read more...]

In this post, I'll look at a very quick way to look at the relationships in a database. I had a bit of fun with my first network graph and plotting the connections between tables and views seems like a natural extension. Here, I'm going to create a bare bones ... [Read more...]

Dear R-enthusiastic, I discovered Plotly some days ago, and I was fascinated by it. What is Plotly? Plotly is a service for creating and sharing data visualizations that also offers statistical analysis tools plus a robust API, the ability to … Continue reading → [Read more...]

We’re pleased to announce that the final version of RStudio v0.98 is available for download now. Highlights of the new release include: An interactive debugger for R that is tightly integrated with base R debugging tools (browser, recover, etc.) Numerous improvements to the Workspace pane (which is now called ... [Read more...]

Last year, the good people at is.R() spent December publishing an R advent calendar. This meant that for 24 days, every day, there was an interesting post featuring analysis and some excellent visualizations in R. I think it's an interesting (if very challenging) exercise and I'm going to try to ... [Read more...]

Jim Silverton wrote to the Allstat mailing list recently: “Hi, Anyone up for a challenge? Suppose we have [4] random variables that are random points on the surface of a sphere. What is the probability that the tetrahedron made by joining these … Continue reading → [Read more...]

ManchesterR and LondonR user group meetings Mango Solutions advise details of the forthcoming R user group meetings in Manchester and London. These free meetings are open to [Read more...]

You know Hadley Wickham as the inventor of the ggplot2 visualization phenomenon, the creator of time-saving R packages like plyr and lubridate, and the Chief Scientist at RStudio. But do you know what laptop Hadley uses, what software he uses (besides, R, of course), or his favourite kitchen appliance? Find ... [Read more...]

Changing the plotting width in bar-, column- and combo-charts of googleVis works identical and is defined by the bar.groupWidth argument. The dot in the argument means that it has to be split in R into bar="{groupWidth:'10%'}". Example

library(googleVis)<br>cc                       xvar="Country", yvar="Population",<br>                      options=list(seriesType="bars", legend="top",<br>                                   bar="{groupWidth:'10%'}",<br>                                   width=500, height=450),<br>                      chartid="thincolumns")<br>plot(cc)

Your browser doesn't support iframes.Session Info

R version 3.0.1 (2013-05-16)<br>Platform: x86_64-apple-darwin10.8.0 (64-bit)<br><br>locale:<br>[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8<br><br>attached base packages:<br>[1] stats     graphics  grDevices utils     datasets  methods   base     <br><br>other attached packages:<br>[1] googleVis_0.4.5<br><br>loaded via a namespace (and not attached):<br>[1] RJSONIO_1.0-3 tools_3.0.1

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Word cloud of DOMA hearing transcriptsI must admit, there is something appealing about the word cloud - that is, until you try to understand what it actually means...Word clouds are pervasive - even in the science world. I was somewhat spurred to wri... [Read more...]