I have been working on this topic for a great amount of time and to be honest I find R documentation not that user-friendly as the documentation for most Python modules. Anyway the fact that copulas are not the easiest model to grasp has contributed to further delays too. But ... [Read more...]

One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with ... [Read more...]

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I am very exciting that I have received very positive feedback from Ahmed Moustafa and Simon Frost. Read More: 401 Words Totally [Read more...]

A new releases of the RPushbullet package (interfacing the neat Pushbullet service) arrived on CRAN today. It brings several weeks of extensions, corrections and cleanups---with key contributions by Mike Birdgeneau and Henrik Bengtsson. RPushbullet n... [Read more...]

In one week, the 2015 edition of Strata Conference (or rather: Strata + Hadoop World) will open its doors to data scientists and big data practitioners from all over the world. What will be the most important big data technology trends for this year? As last year, I ran an analysis on ... [Read more...]

In case you missed them, here are some articles from January of particular interest to R users. Slides on reproducible data analysis with Revolution R Open and the checkpoint package. A review of a recent Bay Area R User Group meetup, featuring Hadley Wickham, Ryan Hafen and Nick Elprin. In ... [Read more...]

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

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The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8-9 August 2015 co-located with SIGKDD’15 URL: http://ausdm15.ausdm.org/ Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and … Continue reading → [Read more...]

A few months ago, I finally got a chance to see The Imitation Game (the new Alan Turing movie), which gave me an idea for a Sunday morning R hacking session. The movie features a bunch of scenes with bustling rooms full or workers intercepting (and documenting) encrypted radio transmissions, ... [Read more...]

In my previous post I described how to perform pan-sharpening using OrfeoToolbox and QGIS. This time I will show you how to do this in R. At the bottom you will find several functions I wrote on top of the 'raster' package that allow a convenient pan-sharpening in R.MotivationYou ... [Read more...]

Chapter 3 of my book “Modeling data with functional programming in R” is available for download. This chapter describes map-vectorization …Continue reading → [Read more...]

by Yanchang Zhao, RDataMining.com A series of free online data mining courses will start on 9 Feb 2015, lectured by Prof. Jiawei Han and several other staff at UIUC. Prof. Han is one of the top data mining researchers around … Continue reading → [Read more...]

I am working through Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) (referred to as BACTHCE from here on). In chapter three I saw an example (3.13) where I wanted to d... [Read more...]

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A brand new version of rfoaas is now on CRAN. It shadows the 0.1.3 release of FOAAS just how an earlier 0.1.2 had done (but there was something not quite right at the server backend which we coded around with an interim release 0.1.2.1; neither one of these was ever released to CRAN). ... [Read more...]

Now that drat is on CRAN and I got a bit of feedback (or typo corrections) in three issue tickets, I thought I could show how to quickly post such an interim version in a drat repository. Now, I obviously already have a checkout of drat. If you, dear reader, ... [Read more...]

This post builds on a previous post, but can be read and understood independently. As part of my course on statistical learning, we created 3D graphics to foster a more intuitive understanding of the various methods that are used to relax the assumption of linearity (in the predictors) in regression ... [Read more...]