It is important to understand as better as possible our sample set before to develop the regression. Continuing with the “Y” matrix (constituent’s matrix) we have to observe the correlation matrix.In the R Graph Gallery, we can get the code to dr...

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What's with those estimates?By Ben OgorekIn R, categorical variables can be added to a regression using the lm() function without a hint of extra work. But have you ever look at the resulting estimates and wondered exactly what they were?First, let's define a data set.set.seed(12255)n = 30sigma = 2.0AOV.df <- data.frame(category = c(rep("category1", n) ...

There were lots of interesting developments this month that didn't work their way into a full blog post. Here is an incomplete list of what I've been tweeting about over the last few weeks. But first I want to draw your attention to the latest manuscri...

This Oracle R Enterprise (ORE) tutorial, on embedded R execution, is the third in a series to help users get started using ORE. See these links for the first tutorial on the transparency layer and second tutorial on the statistics engine. Oracle R Enterprise is a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise...

Many thanks to Jim Guszcza (Predictive Analytics lead at Deloitte Consulting and Assistant Professor at UW-Madison) who gave a great webinar presentation yesterday on actuarial analysis with R. Jim's demo (starting at the 20 minute mark in the video replay below) is a great way to get a sense of how R is used for exploratory data analysis and...

This post is a slightly revised (and "blogified") version of the message Brian Peterson has sent to various R mailing lists.Once again, R has been accepted as a mentoring organization for the Google Summer of Code (2012). We invite students interested in this program to learn more about it. A good starting point...