Before and over the Christmas break, Christina and I have done some more work on our bmeta package, which I've already mentioned in another post, here $-$ well, to be fair, Christina has done most of the work; I was being annoying suggesting changes to the maths formatting and thinking ... [Read more...]

Before and over the Christmas break, Christina and I have done some more work on our bmeta package, which I've already mentioned in another post, here $-$ well, to be fair, Christina has done most of the work; I was being annoying suggesting chang... [Read more...]

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The data analysis specialist eoda presents the programme of the R Academy for 2016. The R Academy is the comprehensive training concept for the open-source programming language R. It offers users a modular course structure covering the topics R and data analysis – either in Kassel (Germany) or as on-site training. More ... [Read more...]

In the exercises below we cover the basics of data frames. Before proceeding, first read section 6.3.1 of An Introduction to R, and the help pages for the cbind, dim, str, order and cut functions. Answers to the exercises are available here. Exercise 1 Create the following data frame, afterwards invert Sex ... [Read more...]

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[This article was first published on Blog - Flavio Azevedo, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

The comments on my post outlining recommended R usage for professional developers were universally scornful, with my proposal recommending subset receiving the greatest wrath. The main argument against using subset appeared to be that it went against existing practice, one comment linked to Hadley Wickham suggesting it was useful in ... [Read more...]

Introduction:Generating data usually requires a variance - covariance matrix and is therefore restricted by using a linear assumption between the variables. However, using a linear assumption between data can miss important non - linear relationships. ... [Read more...]

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In this post, we'll look at a simple method to identify segments of an image based on RGB color values. The segmentation technique we'll consider is called color quantization. Not surprisingly, this topic lends itself naturally to visualization and R makes it easy to render some really cool graphics for ... [Read more...]

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[This article was first published on Blog - Flavio Azevedo, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

I ran across this post containing displays on who works from home. I must say it looks great and is interactive but it did not help me understand the data. So I created this post to display the same data with a boring plot which might help me. For those ... [Read more...]

I ran across this post containing displays on who works from home. I must say it looks great and is interactive but it did not help me understand the data. So I created this post to display the same data with a boring plot which might help me. For... [Read more...]

In the previous post (https://statcompute.wordpress.com/2016/01/01/the-power-of-decision-stumps), it was shown that the boosting algorithm performs extremely well even with a simple 1-level stump as the base learner and provides a better performance lift than the bagging algorithm does. However, this observation shouldn’t be generalized, which would be ... [Read more...]

My family and I moved to Utah about 5 years ago and we have found ourselves thoroughly in love in with our new home state. I didn’t know much about it before we began the process of contemplating a move here, and I find that is often true of many ... [Read more...]