Plotting average read and write operation size by ASM disk for Oracle

June 12, 2013
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Plotting average read and write operation size by ASM disk for Oracle

  Throughput, throughput, throughput – for many databases, this is the performance measure of importance.  When you are working with a fixed number of IOPS but see mixed workload types, system health can be assessed through the average read and…Read more ›

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Introducing GTrendsR

June 12, 2013
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Just another R blog has beed added to r-bloggers!In a paper, to be soon published in Conservation Biology and entitle Googling trends in conservation biology, we developed a package named GTrendsR that provides an interface for retrieving and displaying the information returned online...

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Survey on R and education

June 12, 2013
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Survey on R and education

Main takeaways from the survey on R in education There is a need to train students in R since large majority of respondents (using R professionally) expect its market share to further increase. Large interest from both academics and students in online interactive R and statistics courses. Highest interest in free courses and only small

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Updated age calculation function

June 12, 2013
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Updated age calculation function

I had previously posted a function for calculating age with two dates. This was for the whole number ‘age’ where we are assuming you don’t want someone to be recorded as ’18′ until their 18th birthday (so more than just … Continue reading →

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userR2013 data analysis contest: data exploration

June 12, 2013
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userR2013 data analysis contest: data exploration

Description The useR2013 conference is organizing a data analysis contest, check the rules here. They have a package called useR2013DAC with two data sets: one from La Liga and the other one from the Formula 1. Once you download and install the package (available here), you can quickly explore the data using the following R commands: Data exploration ## Load the...

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Fear and Loathing in Data Science 2013-06-11 20:25:00

June 11, 2013
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Visual Exploration of Time SeriesA couple of weeks ago, I stumbled across the following post on using R to discover patterns in time series.http://dahtah.wordpress.com/2013/05/17/finding-patterns-in-time-series-using-regular-expressions/#commentsThe au...

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A Null Model for Age Effects in Disease with Multiple Infections

June 11, 2013
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A Null Model for Age Effects in Disease with Multiple Infections

Here’s a little thought exercise I did that has caused me to go back and restart my Sudden Oak Death modeling in a new framework. Feedback welcome. I’m especially interested in relevant literature – I haven’t found many good examples of macroparasite/multiple infection models with age structure. Introduction Cobb et al. (2012) develop two models of forest stand demography...

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New book: Seamless R and C++ Integration with Rcpp

June 11, 2013
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New book: Seamless R and C++ Integration with Rcpp

A new book from Dirk Eddelbuettel, co-author of the Rcpp package, is now available. Seamless R and C++ Integration with Rcpp can be ordered from Springer and from Amazon. The book provides the first comprehensive introduction to Rcpp, the R package that makes it easy to integrate C++ code with R and speed up R code. If you haven't...

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More explorations of Shiny

June 11, 2013
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More explorations of Shiny

I have continued to explore the functionality of the Shiny package released by the Rstudio team and I have been increasingly impressed.  The code fits together very clean and easy to manipulate or add to.  If you have some knowledge of html o...

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Answering “How many people use my R package?”

June 11, 2013
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Answering “How many people use my R package?”

The question “How many people use my R package?” is a natural question that (I imagine) every R package developer asks himself at some point or another. After many years in the dark, a silver lining has now emerged thanks …Read more »

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Rickshaw d3.js from R with rCharts

June 11, 2013
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Shutterstock’s open source Rickshaw provides a very nice tutorial to get started building interactive time series d3.js charts with Rickshaw.  I just could not resist rebuilding the tutorial but this time ENTIRELY in R with the amazing packages slidify and rCharts.  I have embedded the tutorial below,...

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Visualizing densities of spatial processes

June 11, 2013
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Visualizing densities of spatial processes

We recently uploaded on http://hal.archives-ouvertes.fr/hal-00725090 a revised version of our work, with Ewen Gallic (a.k.a. @3wen) on Visualizing spatial processes using Ripley’s correction: an application to bodily-injury car accident location In this paper, we investigate (and extend) Ripley’s circumference method to correct bias of density estimation of edges (or frontiers) of regions. The idea of the method was theoretical...

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Biostatisticians… beware of fuzzy researchers!

June 11, 2013
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Biostatisticians… beware of fuzzy researchers!

In the last days I was thinking about about how researchers could collaborate efficiently with their experts in statistics. With the increasing complexity in science, interchanging information can be crucial to get the best results. But what happens when a … Sigue leyendo →

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Thursday: Webinar on video game analytics

June 11, 2013
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Video games are big business today: Electronic Arts (EA) generated more than 4 billion dollars in revenue last year, and they're not even the biggest player on the block. In addition to big bucks, video games also generate Big Data: 50 terabytes per day at EA alone. So there's an obvious need to apply predictive analytics to these massive...

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R2leaflet (v0.1) – make interactive online maps from R

June 11, 2013
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R2leaflet (v0.1) – make interactive online maps from R

I have been working on a simple R function to take latitude and longitude of points of interest, and text for pop-up labels, and produce an interactive online map. Interactive graphics are incredibly useful in getting people interested in your … Continue reading →

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Finally! Tracking CRAN packages downloads

June 11, 2013
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Finally! Tracking CRAN packages downloads

The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always asked myself, how many people actually download my packages. Now I finally can

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R package development

June 11, 2013
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R package development

Building R packages is not particular hard, but it can be a bit of a daunting endeavour at the beginning, particularly if you are more of a statistician than a computer scientist or programmer. Some concepts may appear foreign or like red tape, yet man...

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Measures of Skewness and Kurtosis

June 10, 2013
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Measures of Skewness and Kurtosis

Skewness and kurtosis in R are available in the moments package (to install an R package, click here), and these are:Skewness - skewnessKurtosis - kurtosisExample 1. Mirra is interested in the elapse time (in minutes) she spends on riding a tricycle fr...

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Scenario analysis for option strategies Pt. 2

June 10, 2013
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No vivid improvements since the last post. However, I got it to the stage, when I can share the code and let you try it yourself: https://github.com/afraid2trade/SCENARIO_ANALYSIS.git Once you downloaded it, the only thing you need to open is "sa_work...

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Safe Loading of RData Files

June 10, 2013
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Safe Loading of RData Files

Unless you have configured R not to ask, every time you close R or RStudio you are prompted to save your workspace. This saves an RData file to the working directory. The functions save.image() and save() offer a little more … Continue reading →

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Microsoft Office Metadata with R

June 10, 2013
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Sometimes I need to retrieve various items of metadata from Microsoft Office files. For the 'old-style' (i.e. '.doc' and '.xls') files perhaps a solution in python, such as hachoir, was the best way to extract this data from the ole2 file format -...

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Bringing R to the Enterprise – new white paper available

June 10, 2013
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Check out this new white paper entitled "Bringing R to the Enterprise -  A Familiar R Environment with Enterprise-Caliber Performance, Scalability, and Security." In this white paper, we begin with "Beyond the Laptop" exploring the ability to run R code in the database, working with CRAN packages at the database server, operationalizing R analytics, and...

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In case you missed it: May 2013 Roundup

June 10, 2013
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In case you missed them, here are some articles from May of particular interest to R users: Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package. A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the trading desk at Credit Suisse. Also, a quick take on...

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Where is the R Activity?

June 10, 2013
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Where is the R Activity?

R has become one of the world’s most widely used

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The RStudio CRAN mirror

June 10, 2013
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The RStudio CRAN mirror

RStudio maintains its own CRAN mirror, http://cran.rstudio.com. The server itself is a virtual machine run by Amazon’s EC2 service, and it syncs with the main CRAN mirror in Austria once per day. When you contact http://cran.rstudio.com, however, you’re probably not talking to our CRAN mirror directly. That’s because we use Amazon CloudFront, a content delivery

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Running time

June 10, 2013
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Running time

Marta and I are doing some re-analysis of our Eurovision contest (some context here and here). We have slightly modified our original model (mostly, I have navigated the mess in Marta's notation $-$ it's OK: I'm not at risk of her mighty wrath, as I've...

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Le Monde puzzle [#822]

June 10, 2013
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Le Monde puzzle [#822]

For once Le Monde math puzzle is much more easily solved on a piece of paper than in R, even in a plane from Roma: Given a partition of the set {1,…,N} in k groups, one considers the collection of all subsets of  the set {1,…,N} containing at least one element from each group. Show

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Measure of Relative Variability

June 10, 2013
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The measure of relative variability is the coefficient of variation (CV). Unlike measures of absolute variability, the CV is unitless when it comes to comparisons between the dispersions of two distributions of different units of measurement. In R, CV ...

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Ripley Facts

June 10, 2013
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Normally, this blog would only contain technical and scientific related posts. But this time I would like to share with you a very interesting phenomenon I came across on the R mailing list(s). I call it 'Ripley Facts' after the prolific statistician, ...

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