Monthly Archives: May 2013

Monitoring des médias 2

May 6, 2013
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Monitoring des médias 2

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) Petit monitoring de notre observatoire des médias sur Twitter.Chez Mediapart : Le Monde Le Figaro Le parisien Vue globaleLe code pour réaliser ce post : To leave a comment for the author, please follow the link and comment on his blog: Learning Data Science...

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Creating a QGIS-Style (qml-file) with an R-Script

May 6, 2013
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Creating a QGIS-Style (qml-file) with an R-Script

How to get from a txt-file with short names and labels to a QGIS-Style (qml-file)? I used the below R-script to create a style for this legend table where I copy-pasted the parts I needed to a txt-file, like for the WRB-FULL (WRB-FULL: Full soil code o...

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The half variance approximation for mean returns

May 6, 2013
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The half variance approximation for mean returns

What’s that thing about arithmetic and geometric returns and the variance? Previously An introduction to the difference between simple and log returns is: A tale of two returns Issue Suppose you are predicting the mean annual return of an asset for some number of years.  To simplify the discussion, let’s buy into the fantasy that … Continue reading...

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analyze the social security administration public use microdata files (ssapumf) with r

May 5, 2013
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the social security administration (ssa) must be overflowing with quiet heroes, because their public-use microdata files are as inconspicuous as they are thorough.  sure, ssa publishes enough great statistical research of their own that outside re...

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Google Analytics + R = FUN!

May 5, 2013
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Google Analytics + R = FUN!

The scope of this post it to show how simple it is to get data out of the Google Analytics and create your own reports (that you hope that they can be semi-automated at least) and you favourite statistical graphs (those that GA is currently missing). As you already know R is a favourite tool

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Google Analytics + R = FUN!

May 5, 2013
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Google Analytics + R = FUN!

The scope of this post it to show how simple it is to get data out of the Google Analytics and create your own reports (that you hope that they can be semi-automated at least) and you favourite statistical graphs (those that GA is currently missing). As you already know R is a favourite tool ...read more

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… ridiculously photogenic factors (heatmap with p-values)

May 5, 2013
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… ridiculously photogenic factors (heatmap with p-values)

Some months ago, I had to explore a vast amount of categorical variables before making some multivariate analyses. One good way to know your raw data, to make new hypotheses…etc, is to calculate some pairwise “crude” chi-square tests of independence … Sigue leyendo →

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How to Calculate a Partial Correlation Coefficient in R: An Example with Oxidizing Ammonia to Make Nitric Acid

How to Calculate a Partial Correlation Coefficient in R: An Example with Oxidizing Ammonia to Make Nitric Acid

Introduction Today, I will talk about the math behind calculating partial correlation and illustrate the computation in R with an example involving the oxidation of ammonia to make nitric acid using a built-in data set in R called stackloss.  In a separate post, I will also share an R function that I wrote to estimate partial correlation.

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R, D3.js and SNA Course

R, D3.js and SNA Course

I took the SNA course by Lada Adamic in coursera. It's a super interesting course. In fact, I was using the networks only how a visualization tool, and that is what it make me little bit embarrassing because there are more, a lot of more. You can detec...

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R, D3.js and SNA Course

R, D3.js and SNA Course

I took the SNA course by Lada Adamic in coursera. It's a super interesting course. In fact, I was using the networks only how a visualization tool, and that is what it make me little bit embarrassing because there are more, a lot of more. You can detec...

Read more »