References In my recent projects, I had the opportunity to work with the professor Raphaël Proulx who introduced me to several metrics commonly used in landscape ecology for quantifying image texture. In order to make my life easier, I decided to implement them as a R package. At this ... [Read more...]

The puzzle: find two points inside the United States such that Both points are in the same state The straight line segment (shortest great circle) connecting them crosses the largest number of distinct states This came up during a recent road trip through Pennsylvania, Maryland, West Virginia, and Virginia, where ... [Read more...]

In the previous blog article I discussed a dynamic binary model for the directional forecast of the US equity market using a select number of economic, fundamental and technical variables as predictors. A natural direction for extending that research would be to look at similar models in different countries or ... [Read more...]

Profiling R code gives you the chance to identify bottlenecks and pieces of code that needs to be more efficiently implemented [1]. Profiling R code is usually the last thing I do in the process of package (or function) development. In my experience we can reduce the amount of time necessary ... [Read more...]

Data Scientist Jeroen Janssens recently published a useful list of 7 data science tools that you can use from the command line. This doesn't just mean they're convenient tools for command-line junkies: it also means you can easily chain them together with data sources for offline, automated processes. Included in the ... [Read more...]

Last week’s post on the metal collaboration network brought attention largely to the “giant component”–the largest subgraph in a network where all actors have at least one path to all other actors. In large networks, even sparse ones, giant components typically emerge and include the majority of actors ... [Read more...]

Earlier today, Gareth has showed me a recent, interesting paper by Michael Sweeting (and colleagues). In the paper, Micheal et al describe their work on a R package to extend on the framework of the Continual Reassessment Method (the ori... [Read more...]

This Thursday I'll give a talk at the GSK Statistics Forum. Erika (with whom I shared a train journey to the 2012 BayesPharma and a group walk in Oxfordshire a few years back) now works at GSK and invited me. I will talk about the model for c... [Read more...]

24.09.2013 I released a new Linux version of Bio7 (64-bit only – see Screenshots below). For an overview of the new features please read the release notes for Windows 1.7.0 and 1.7.1: http://bio7.org/?p=2049 http://bio7.org/?p=2112 In addition some Linux specific improvements are embedded in this release. Additional Linux features: ... [Read more...]

[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

When working with intraday data, analysts are often facing a large dataset problem. R is well equipped to deal with this but the standard approach has to be modified in some ways. Large dataset means different things to different people. I’m talking here about a dataset of less than 10 ... [Read more...]

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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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Guest post by Jake Russ For a recent project I needed to make a simple sum calculation on a rather large data frame (0.8 GB, 4+ million rows, and ~80,000 groups). As an avid user of Hadley Wickham’s packages, my first …Read more » [Read more...]

I had a fun time on Friday in a Google Hangout chat with David Pittman (IBM), Eric Kavanagh (Bloor Group) and Tom Deutsch (IBM), where we talked about how open source is changing business. The conversation covered several open source projects including R and Hadoop, and ranged from the impact ... [Read more...]

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Often I have some idea for a trading system that is of the form “does some particular aspect of the last n periods of data have any predictive use for subsequent periods.” I generally like to work with nice units of time, such as 4 weeks or 6 months, rather than 30 or 126 ... [Read more...]

As I discussed in a previous post, I have a few helper functions I’ve created that I commonly use in my work. Until recently, I manually included these functions at the start of my R scripts by either the tried and true copy-and-paste method, or by extracting them from ... [Read more...]

Fractions and proportions can be difficult to plot nicely for a number of reasons: If the proportions are based on small counts (e.g., two of his three computing devices were Apple products) then the calculated proportions will only take on a number of discrete values. Depending on what you ... [Read more...]

Whenever I go to the grocery store it always seems to be a lesson in statistics. I go get the things I need to buy and then  I try to select the checkout register that will decrease the amount of time I have to wait. Inevitably, I select the one ... [Read more...]