2697 search results for "twitter"

Detour in taste wordclouds

March 10, 2012
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I read Mining Twitter for consumer attitudes towards hotels in my feed of R-bloggers. That reminded me that I intended to look at generating wordclouds for salt and MSG at some point. Salt, or sodium is linked to hypertension, which is linked...

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Montreal R workshop: Plyr, reshape and other data manipulation goodies

March 8, 2012
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Montreal R workshop: Plyr, reshape and other data manipulation goodies

March 12, 2012 14h-16h N4/17 Stewart Biology Building, McGill University Étienne Low-Decarie, McGill University This workshop is organized by the BGSA and is free of charge (!), but space is limited. Register early to ensure your spot! From Étienne: Ever want to split your data according to factors, apply a function on each part and

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Experience on using R to build prediction models in business applications

March 8, 2012
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Experience on using R to build prediction models in business applications

By Yanchang zhao, RDataMining.com Building prediction/classification models is one of the most widely-seen data mining tasks in business applications. To share experience on building prediction models with R, I have started a discussion at RDataMining group on LinkedIn with the … Continue reading →

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Early-March flotsam

March 8, 2012
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Early-March flotsam

It has been a strange last ten days since we unexpectedly entered grant writing mode. I was looking forward to work on this issue near the end of the year but a likely change on funding agency priorities requires applying … Continue reading →

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lembarrasduchoix asked: thank you for the introduction to…

March 6, 2012
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lembarrasduchoix asked:
thank you for the introduction to…

lembarrasduchoix asked: thank you for the introduction to Newcomb’s paradox! Could you do a post on your favorite paradoxes?    The decision theory paradoxes I’m familiar with are: Ellsberg Paradox— Theorists encode bothsituations with unknown...

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Missing my Statsy Goodness? Check out #SciFund!

March 6, 2012
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Missing my Statsy Goodness? Check out #SciFund!

I know, I know, I have been kinda lame about posting here lately. But that’s because my posting muscle has been focused on the new analyses for what makes a succesful #SciFund proposal. I’ve been posting them at the #SciFund blog under the Analysis tag – so check it out. There’s some fun stats, and

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Multiple Factor Model – Building 130/30 Index

March 5, 2012
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Multiple Factor Model – Building 130/30 Index

Nico brought to my attention the 130/30: The New Long-Only (2008) by A. Lo, P. Patel paper in his comment to the Multiple Factor Model – Building CSFB Factors post. This paper presents a very detailed step by step guide to building 130/30 Index using average CSFB Factors as the alpha model and MSCI Barra

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Montreal R workshop on Causal Inference

March 5, 2012
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Montreal R workshop on Causal Inference

Monday, March 05, 2012  14h-16h N4/17 Stewart Biology Building, McGill University Prof. Bill Shipley from Université de Sherbrooke Topics Structural equation modelling Graphical models for understanding causal analysis Testing for goodness of fit...

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Interview: Patrick Burns Quantitative Finance in R

Interview: Patrick Burns Quantitative Finance in R

Dr. Patrick Burns is the founder of Burns Statistics, providing consulting and bespoke software specializing in quantitative finance, programming in the S language, and optimization via genetic algorithms and simulated annealing. Patrick has written m...

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BerkeleyEarth Version 1.6

March 5, 2012
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BerkeleyEarth Version 1.6

Version 1.6 has just been submitted to CRAN and I will post the source here in the dropbox. Version 1.6 will probably be stable for a long time unless I find a bug. The main additions I made were adding a few functions to make some things easier, and I converted two files–flags and sources–

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