Filed under: R, Running Tagged: Argentan, background, half-marathon, Normandy, race, road races, running, splits

Get data that fit before you fit data. Why verify? Garbage in, garbage out. How to verify The example data used here is daily (adjusted) prices of stocks. By some magic that I’m yet to fathom, market data can be wondrously wrong even without the benefit of the possibility of transcription errors. It doesn’t seem … Continue reading →

the panel study of income dynamics (psid) is a one-trick pony. better than anything else out there, this survey allows you to answer the question, "where are they now?" after tracking the same nationally-representative cohort of americans (...

My office computer recently got a really nice upgrade and now I have 8 cores on my desktop to play with. I also at the same time received some code for a Gibbs sampler written in R from my adviser. I wanted to try a metropolis-coupled markov chain monte carlo, , algorithm on it to The post Parallel Tempering...

welcome and presentation (download 0,1MB), Torino R net organisers; Winning with R (and friends) – How data analysts affect the standings in sports championships (download 0,7MB), Massimilano Marchi, Regione Emilia-Romagna; Predictive analytics to manage dispatchment of intermittent energy sources: R … Continue reading →

As a part of Twitter Data Analysis, So far I have completed Movie review using R & Document Classification using R. Today we will be dealing with discovering topics in Tweets, i.e. to mine the tweets data to discover underlying topics– approach known as Topic Modeling.What is Topic Modeling?A statistical approach for discovering “abstracts/topics” from a collection of text...

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