Monthly Archives: February 2010

How to use mcsm

February 27, 2010
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How to use mcsm

Within the past two days, I received this email Dear Prof.Robert I have just bought your recent book on Introducing Monte Carlo Methods with R.  Although I have checked your web page for the R programs (bits of the code in the book, codes for generating the figures and tec – not the package available

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Calculating LT50 (median lethal temperature, aka LD50) quickly in R

February 27, 2010
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Say you’ve got a bunch of survival/mortality data from an experiment. Maybe you exposed batches of snails to various high temperatures for a few hours, and recorded the number alive and dead in each batch at the end. Now you’d like to repor...

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Be Careful Searching Python Dictionaries!

February 27, 2010
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Be Careful Searching Python Dictionaries!

For my talk on High Performance Computing in R (which I had to reschedule due to a nasty stomach bug), I used Wikipedia linking data, an adjacency list of articles and the articles to which they link. This data was linked from DataWrangling and was originally created by Henry Haselgrove. The dataset is small on disk, but I needed...

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An interesting paper

February 27, 2010
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An interesting paper

Ben Bolker has an interesting paper (outline of a paper) comparing different approaches to estimate GLMM in R environment, which is very helpful to what I am doing right now.The paper pointed out the following options to fit GLMM using R:glmerglmmMLglm...

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oro.dicom 0.2.4

February 26, 2010
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oro.dicom 0.2.4

The R package oro.dicom is a major revision, and improvement, on the previous package DICOM.  New features includeIncreased speedUploading only header information (for restricted memory)Reading implicit value representations (VR's)Parsing SequenceItem tags (undefined lengths are allowed)Integration with oro.nifti to convert DICOM to NIfTIProvided below is a straightforward application of the oro.dicom package to an...

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oro.dicom 0.2.4

February 26, 2010
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oro.dicom 0.2.4

The R package oro.dicom is a major revision, and improvement, on the previous package DICOM.  New features include Increased speed Uploading only header information (for restricted memory) Reading implicit value representations (VR's) Parsing SequenceItem tags (undefined lengths are allowed) Integration with oro.nifti to convert DICOM to NIfTI Provided below is a straightforward application of the oro.dicom package to an...

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Steve Miller on R at Predictive Analytics World

February 26, 2010
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At the Information Management blog, Steve Miller has provided two great reviews (here and here) of last week's Predictive Analytics World conference, including a recap of the Bay Area User's Group meeting featuring John Chambers. (My personal highlight from John's talk? A photograph of the very first sketch of what was to become the S system, which ultimately begat...

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Because it’s Friday: Visualizing an email chain

February 26, 2010
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Because it’s Friday: Visualizing an email chain

We've all been there: someone sends an email to a mailing list with a Reply-To directing responses back to the mailing list. Before long, someone replies (unwittingly, to everyone) to ask to be taken of the list. And before long, the entire affair devolves into an endless cycle of requests to unsubscribe and pleas to stop mailing the entire...

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R tip: Finding the location of minimum and maximums

February 26, 2010
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I can never remember this R command, so I am going to post it here which probably means I will always remember it and never have to look it up here again.I sometimes want to find the location of a minimum or maximum value in a vector, so I can look up the corresponding position in another vector, or...

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R tip: Finding the location of minimum and maximums

February 26, 2010
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I can never remember this R command, so I am going to post it here which probably means I will always remember it and never have to look it up here again.I sometimes want to find the location of a minimum or maximum value in a vector, so I can look up the corresponding position in another vector, or...

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