Posts Tagged ‘ stats ’

Recovering Marginal Effects and Standard Errors from Interaction Terms in R

March 5, 2012
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When I fit models with interactions, I often want to recover not only the interaction effect but also the marginal effect (the main effect + the interaction) and of course the standard errors. There are a couple of ways to do this in R but I ended writ...

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Functional ANOVA using INLA

January 13, 2012
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Functional ANOVA using INLA

Ramsay and Silverman’s Functional Data Analysis is a tremendously useful book that deserves to be more widely known. It’s full of ideas of neat things one can do when part of a dataset can be viewed as a set of

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Iowa: Was the fix in? (a statistical analysis of the results)

January 4, 2012
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Iowa: Was the fix in? (a statistical analysis of the results)

Summary/TL;DR Either the first precincts to report were widely unrepresentative of Iowa as a whole, or something screwy happened. Background Yesterday was the first primary for the 2012 U.S. presidential elections. When I logged off the internet last night, the results in Iowa showed a dead heat between Ron Paul, Mitt Romney, and Rick Santorum.

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Tall big data, wide big data

December 12, 2011
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After attending two one-day workshops last week I spent most days paying attention to (well, at least listening to) presentations in this biostatistics conference. Most presenters were R users—although Genstat, Matlab and SAS fans were also present and not one … Continue reading →

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R, academia and the democratization of statistics

December 12, 2011
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R, academia and the democratization of statistics

I am not a statistician but I use statistics, teach some statistics and write about applications of statistics in biological problems. Last week I was in this biostatistics conference, talking with a Ph.D. student who was surprised about this situation … Continue reading →

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My oh my

December 6, 2011
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My oh my

Noted without comment, visit Biostatistics Ryan Gosling !!! for more gems like the one above.

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On the (statistical) road, workshops and R

December 3, 2011
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On the (statistical) road, workshops and R

Things have been a bit quiet at Quantum Forest during the last ten days. Last Monday (Sunday for most readers) I flew to Australia to attend a couple of one-day workshops; one on spatial analysis (in Sydney) and another one … Continue reading →

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Do we need to deal with ‘big data’ in R?

November 22, 2011
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Do we need to deal with ‘big data’ in R?

David Smith at the Revolutions blog posted a nice presentation on “big data” (oh, how I dislike that term). It is a nice piece of work and the Revolution guys manage to process a large amount of records, starting with … Continue reading →

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Teaching with R: the tools

November 1, 2011
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I bought an Android phone, nothing fancy just my first foray in the smartphone world, which is a big change coming from the dumb phone world(*). Everything is different and I am back at being a newbie; this is what … Continue reading →

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Power Tools for Aspiring Data Journalists: R

October 31, 2011
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Power Tools for Aspiring Data Journalists: R

Picking up on Paul Bradshaw’s post A quick exercise for aspiring data journalists which hints at how you can use Google Spreadsheets to grab – and explore – a mortality dataset highlighted by Ben Goldacre in DIY statistical analysis: experience the thrill of touching real data, I thought I’d describe a quick way of analysing

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