1695 search results for "time series"

R 2.15.0 is released

March 30, 2012
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R 2.15.0 is released

Bellow is the announcement made by Peter Dalgaard: The build system rolled up R-2.15.0.tar.gz (codename “Easter Beagle”) at 9:00 this morning. This is the first release of the 2.15 series and contains several new features and changes; see the list below for details. You can get the source code from http://cran.r-project.org/src/base/R-2/R-2.15.0.tar.gz or wait for it to be mirrored at...

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Bootstrap example

March 30, 2012
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Bootstrap example

Bootstrap your way into robust inference. Wow, that was fun to write.. Introduction Say you made a simple regression, now you have your . You wish to know if it is significantly different from (say) zero. In general, people look … Continue reading →

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Visualizing left-right government positions

March 19, 2012
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Visualizing left-right government positions

How does the political landscape of Europe change over time? One way to approach this question is to map the socio-economic left-right positions of the governments in power. So let’s plot the changing ideological  positions of the governments using data … Continue reading →

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Independent measures (between-subjects) ANOVA and displaying confidence intervals for differences in means

March 18, 2012
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Independent measures (between-subjects) ANOVA and displaying confidence intervals for differences in means

In Chapter 2 (Confidence Intervals) of Serious stats I consider the problem of displaying confidence intervals (CIs) of a set of means (which I illustrate with the simple case of two independent means). Later, in Chapter 16 (Repeated Measures ANOVA), I consider the trickier problem of displaying of two or more means from paired or

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Solving easy problems the hard way

March 17, 2012
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Solving easy problems the hard way

There’s a charming little brain teaser that’s going around the Interwebs. It’s got various forms, but they all look something like this: This problem can be solved by pre-school children in 5-10 minutes, by programer – in 1 hour, by people with higher education … well, check it yourself!  8809=6 7111=0 2172=0 6666=4 1111=0 3213=0 7662=2 9313=1 0000=4 2222=0 3333=0 5555=0 8193=3 8096=5 7777=0 9999=4 7756=1 6855=3 9881=5 5531=0 2581=? SPOILER ALERT… The answer has to do with how many

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Europe most dangerous cities

March 15, 2012
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Europe most dangerous cities

When I was searching for data about U.S prison population, for another post, I run across eurostat, a nice source for data to play around with. I pooled some numbers, specifically homicides recorded by the police. A panel data for … Continue reading →

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The Anachronism Machine: The Language of Downton Abbey

March 15, 2012
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The Anachronism Machine: The Language of Downton Abbey

I've recently become hooked on the TV series Downton Abbey. I'm not usually one for costume dramas, but the mix of fine acting, the intriguing social relationships, and the larger WW1-era story make for compelling viewing. (Also: Maggie Smith is a treasure.) Despite the widespread criticial acclaim, Downton has met with criticism for some period-innapropriate uses of language. For...

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Opinions Not Backed by Money Updated Again

March 15, 2012
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Opinions Not Backed by Money Updated Again

Strange that I am updating this post for a third time and nothing really has changed, but the fact that nothing has changed is incredibly interesting to me.  Since it is an update, I will not duplicate the explanation, so please read the last vers...

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R and Hadoop: Step-by-step tutorials

March 14, 2012
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R and Hadoop: Step-by-step tutorials

At the recent Big Data Workshop held by the Boston Predictive Analytics group, airline analyst and R user Jeffrey Breen gave a step-by-step guide to setting up an R and Hadoop infrastructure. Firstly, as a local virtual instance of Hadoop with R, using VMWare and Cloudera's Hadoop Demo VM. (This is a great way to get familiar with Hadoop.)...

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NIT: Fatty acids study in R – Part 007

March 14, 2012
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NIT: Fatty acids study in R – Part 007

Once we have chosen the model, we can continue acquiring spectra of new samples. Spectra is exported to a txt or csv file and we imported in R to be reprocessed.We use the function “predict” from the PLS package. I have done this with 20 new sample...

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