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We're proud that Revolution R Enterprise recently received the award for Top Innovator for Data Visualization from DataWeek. The R language has long been at the forefront of data visualization, and is the graphical engine behind many of the unique data visualizations you often see on the web and in print, including in the New York Times, at FlowingData...

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)

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...

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

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...

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...

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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