2149 search results for "Twitter"

Dial-a-statistic! Featuring R and Estonia

January 16, 2011
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Dial-a-statistic! Featuring R and Estonia

Did you wake up this morning hoping that you would be able to listen to telephone beeps inspired by Estonian web site metrics? I knew you did! First things first: I came up with the slightly crazy idea of using the bleepy sounds that telephones make, called “dual-tone multifrequency” (DTMF) tones, as a tool in

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When 1 * x != x

January 16, 2011
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When 1 * x != x

Trying to dimly recall things from my maths degree, it seems that in most contexts the whole point of the number one is that it is a multiplicative identity. That is, for any x in your set, 1 * x is equal to x. It turns out that when you move to floating point numbers,

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Missing reference in Monte Carlo Statistical Methods

January 15, 2011
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Missing reference in Monte Carlo Statistical Methods

A few days ago, Peng Yu sent me this email Dear Prof. Robert, The citation Edwards and Sokal (1988) appears on page 326 of your book MCSM2. However, I don’t find in in the Reference section (it would have appear on page 601 if it is in the reference section). I don’t find this error

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Parsing and plotting time series data

January 15, 2011
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Parsing and plotting time series data

This morning I came across a post which discusses the differences between scala, ruby and python when trying to analyse time series data. Essentially, there is a text file consisting of times in the format HH:MM and we want to get an idea of its distribution. Tom discusses how this would be a bit clunky

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Warming in Paris: minimas versus maximas ?

January 14, 2011
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Warming in Paris: minimas versus maximas ?

Recently, I received comments (here and on Twitter) about my previous graphs on the temperature in Paris. I mentioned in a comment (there) that studying extremas (and more generally quantiles or interquantile evolution) is not the same as studying ...

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Statistical podcast: Random and Pseudorandom

January 14, 2011
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Statistical podcast: Random and Pseudorandom

This morning when I downloaded the latest version of In our time, I was pleased to see that this weeks topic was “Random and Peudorandom.” If you’re not familiar with “In our time”, then I can I definitely recommend the series. Each week three academics and Melvyn Bragg discuss a particular topic from history, science,

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Remove all rows of an R dataframe

January 13, 2011
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Remove all rows of an R dataframe

I should have probably figured this out a long time ago, but as I get deeper into programming with R, I am finding the need to remove all rows from a dataframe.  I was making this alot harder than it had to be. your.df<- your.df Replace your.df with, your dataframe and you are good

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Survival paper (update)

January 13, 2011
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Survival paper (update)

In a recent post, I discussed some  statistical consultancy I was involved with. I was quite proud of the nice ggplot2 graphics I had created. The graphs nicely summarised the main points of the paper: I’ve just had the proofs from the journal, and next to the graphs there is the following note: It is

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CosmoPMC released

January 12, 2011
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CosmoPMC released

Martin Kilbinger, an astronomer (cosmologist) with whom we had worked on population Monte Carlo for cosmological inference , has made the PMC C codes available on the CosmoPMC webpage. He has also written a CosmoPMC manual that is now available from arXiv. And he very kindly associated me to

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Initial Work on a Post Not Yet Completed

January 12, 2011
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Initial Work on a Post Not Yet Completed

It’s no secret I have been learning R for some time now, and one of the best resources out there is the hashtag rstats on twitter (#rstats).  There is a tremendous community of active users who are always willing to help, but not to mention, you can get a first hand view of some of

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