Monthly Archives: August 2013

MCMSki IV, Jan. 6-8, 2014, Chamonix (news #7)

August 26, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #7)

More exciting (and important!) news about MCMSki IV: First, some if not all of the 9 invited and the 16 contributed sessions are about now documented by abstracts. The program is completely set! If you plan to present a poster, remember to send me by email (a) surname, name (institution): title as the subject, (b)

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Using R to visualize Karpov-vs-Kasparov Lifetime winner-take-all tally

August 26, 2013
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Using R to visualize Karpov-vs-Kasparov Lifetime winner-take-all tally

The Karpov vs. Kasparov rivalry holds a special place in the chess world.The idea behind this analysis is simple. If we take their lifetime games, plot the wins, what would it look like? We introduce one twist -- we'll be plotting the "winner-take-all"...

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Latent Variable Mixture Modeling: When Heterogeneity Requires Both Categories and Dimensions

August 26, 2013
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Latent Variable Mixture Modeling:  When Heterogeneity Requires Both Categories and Dimensions

Dichotomies come easily to us, especially when they are caricatures as shown in this cartoon.  These personality types do seem real, and without much difficulty, we can anticipate how they might react in different situations.  For example, if...

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Survival analysis in R: Weibull and Cox proportional hazards models

August 26, 2013
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I describe how to estimate the Weibull accelerated failure time model and the Cox proportional hazards model, test the assumptions, make predictions, and plot survival functions using each model. Survival analysis in R: Weibull and Cox proportional haz...

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Types of Data on R

August 26, 2013
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Types of Data on R

There are different types of data on R. I use type here as a technical term, rather than merely a synonym of “variety”.  There are three main types of data: Numeric: ordinary numbers Character: not treated as a number, but as a word. You cannot add two characters, even if they appear to be numerical. Characters

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Using a GBM for Classification in R

August 26, 2013
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I discuss some advantages of Generalized Boosted Models over logistic regression and discriminant analysis and demonstrate how to use a GBM for binary classification (predicting whether an event occurs or not). Using a GBM for Classification in R from...

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Nonparametric (local polynomial) regression in R

August 26, 2013
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Local polynomial regression models can be used as a more flexible alternative to linear regression. However, the nonparametric regression models are slightly more difficult to estimate and interpret than linear regression. This video explains almost ev...

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Estimation, prediction, and evaluation of logistic regression models

August 26, 2013
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I provide an introduction to using logistic regression for prediction (binary classification) using the Titanic data competition from www.Kaggle.com as an example. I use models to predict in missing data, estimate a logistic regression model on a trai...

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R Video Blog! 2013-08-26 08:39:00

August 26, 2013
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For more R resources, check out R-Bloggers! I seriously learn something every day from this site.

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International Summer School on Social Network Analysis: Introduction and Methods of Analysis in R

August 26, 2013
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As mentioned in a previous post, Alex Hanna and I had the opportunity to teach last week at the Higher School of Economic’s International Social Network Analysis Summer School in St. Petersburg.  While last year’s workshop emphasized smaller social networks, this year’s workshop focused on online networks.  For my part, I provided an introductory lecture to… Continue reading →

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