[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...]

Together with other members of Andreas Beyer's research group, I participated in the DREAM 8 toxicogenetics challenge. While the jury is still out on the results, I want to introduce my improvement of the R randomForest package, namely parall... [Read more...]

Any instrumental variables (IV) estimator relies on two key assumptions in order to identify causal effects: That the excluded instrument or instruments only effect the dependent variable through their effect on the endogenous explanatory variable or variables (the exclusion restriction), That the correlation between the excluded instruments and the endogenous ... [Read more...]

4th Milano R net meeting October 24, 2013 @ 6.00 PM Fiori Oscuri Bistrot & Bar Via Fiori Oscuri, 3 Milano Further details will be published shortly. Stay connected! [Read more...]

back in 1975, congress had it up to here with discriminatory lending practices and decided to require financial organizations originating home mortgages to report some basic operational statistics publicly.  the home mortgage disclosure act mandat... [Read more...]

Introduction Continuing my recent series on exploratory data analysis, today’s post focuses on quantile-quantile (Q-Q) plots, which are very useful plots for assessing how closely a data set fits a particular distribution.  I will discuss how Q-Q plots are constructed and use Q-Q plots to assess the distribution of ... [Read more...]

This a reminder about the October 15 deadlines for MCMSki IV: First, the early bird rate for the registration ends up on October 15. Second, the young investigator travel support can only be requested up to October 15 as well. Be sure to book your hotel or rental place early too as Chamonix ... [Read more...]

As some of you know, I’ve been writing a book (to be published by CRC Press/Chapman & Hall and released …Continue reading » [Read more...]

Date and time handling is essential to many modelling and analysis exercises, in R and other languages used for scientific computing. Over the past few months I tackled the mapping of date-time concepts between R and the .NET framework as part of the w... [Read more...]

Reddit has a subreddit Guns are cool which in turn contains the MASS SHOOTINGS IN 2013 page. I pulled those data to see if there was anything of interest to plot or examine. I ended with modelling the frequency of shootings (once a day, Poisson distribution), and number of victims per ... [Read more...]