Monthly Archives: February 2012

R meets HANA

February 2, 2012
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R meets HANA

If you read my last blog called HANA meets R you will remember that we read data from HANA into R directly, without having to download an .csv file, but using ODBC. This time, we're going to read data from HANA as well, but after do some nice tricks on R, we're going to post back the...

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Great Maps with ggplot2

February 2, 2012
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Great Maps with ggplot2

The above map (and this one) was produced using R and g

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HANA meets R

February 2, 2012
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HANA meets R

In my previous HANA and R blogs, I have been forced to create .csv files from HANA and read them on R...an easy but also boring procedure...specially if your R report is supposed to be run on a regular basis...having to create an .csv file every time you need to run your report it's not a nice thing...After...

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tenured research position with ABC skills!

February 2, 2012
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tenured research position with ABC skills!

I just received this announcement for the opening of a (tenured/civil servant) position in the national research institute in biostatistics, genetics, and agronomy, INRA: Position opening with profile Approximate inference techniques in complex systems Key activities and required skills: You will develop methodological research in the field of statistical inference for models used in environmental

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Landscape Metrics with R, SDMTools, ImageJ and Bio7

February 2, 2012
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01.02.2012 Landscape metrics were developed to analyze spatial patterns of landscapes (e.g. composition and spatial arrangement). In R it is possible to calculate these metrics with the “SDMTools” package. Bio7 offers an easy to use interface to R and ImageJ and can use these tools to simplify a workflow to analyze image data (e.g. vegetation

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Two courses in R programming by Ken Rice and Thomas Lumley

February 2, 2012
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Ken Rice and Thomas Lumley will give a course on advanced R programming in two locations this summer. 1. In Edinburgh, June 13-15 (the week before the International Conference in Quantitative Genetics). See http://www.eisg2012.org.uk/ 2. In Seattle, July 23-25, as part of the Summer Institute in Statistical Genetics. See http://www.biostat.washington.edu/suminst/sisg/general The course is about 60% lecture and 40% lab session (BYO R),...

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Analytic applications are built by data scientists

February 1, 2012
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Ventana Research analyst David Menninger was on the judging panel for the Applications of R in Business contest. In a post on the Ventana research blog, he offers his perspectives on the contest, noting that R, as a statistical package, includes many algorithms for predictive analytics, including regression, clustering, classification, text mining and other techniques. The contest submissions supported...

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Cochran Q Test for k related samples in R

February 1, 2012
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Cochran Q Test for k related samples in R

To run the Cochran Q Test in R, we need to download the package of it first, since it is not built-in in R. The name of the package is RVAideMemoire authored by Maxime Hervé. Here's how to do it.Codes:Here we are installing the package named RVAideMem...

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Transformation of Several Variables in a Dataframe

February 1, 2012
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Transformation of Several Variables in a Dataframe

This is how I transform several columns of a dataframe, i.e., with count-data into binary coded data (this would apply also for any other conversion..).count1

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Vectorized R vs Rcpp

February 1, 2012
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Vectorized R vs Rcpp

In my previous post, I tried to show, that Rcpp is 1000 faster than pure R and that generated the fuss in the comments. Being lazy, I didn’t vectorize R code and at the end I was comparing apples vs oranges. To fix that problem, I built a new script, where I’m trying to compare

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