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The code snippet below creates the above graphic: ## radially symmetric kernel (Gussian kernel) RadSym [Read more...]

I wanted to know when a set of publications I was aggregating on CiteULike was published. The number of publications per year, for example. I did a quick Google but could not find an R package to client to the CiteULike API, and because I wanted to play with JSON ... [Read more...]

I wanted to know when a set of publications I was aggregating on CiteULike was published. The number of publications per year, for example. I did a quick Google but could not find an R package to client to the CiteULike API, and because I wanted to pla... [Read more...]

This post describes how to pass external arguments to R when calling a Rscript with a command line. The case study presented here is very simple: a Rscript is called which needs, as an input, a file name (a text file containing data which are loaded into R to be ... [Read more...]

Comparing two timeseries-generating blackboxes In my last post I talked about how this question on Cross-Validated got me interested. Basically the challenge is to compare two data generating models to see if they are essentially the same. Since then I’ve noticed that this problem comes up in a number ... [Read more...]

It is a bit a contradiction. Kaggle provides competitions on data science, while Stan is clearly part of the (Bayesian) statistics. Yet after using random forests, boosting and bagging, I also think this problem has a suitable size for Stan, which I understand can handle larger problems than older Bayesian ... [Read more...]

It is a bit a contradiction. Kaggle provides competitions on data science, while Stan is clearly part of the (Bayesian) statistics. Yet after using random forests, boosting and bagging, I also think this problem has a suitable size for Stan, which I un... [Read more...]

Most books on regression analysis assume homoscedasticity, the situation in which Var(Y | X = t), for a response variable Y and vector of predictor variables X, is the same for all t. Yet, needless to say, almost all data in real life is heteroscedastic. For Y = human weight and X = ... [Read more...]

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Comparing two timeseries-generating blackboxes This question on Cross-Validated got me interested. I gave a fairly inadequate answer and want to explore a few of the issues. Actually, I have a plan for an effective technique which is what I think the original post was asking for, but I need to ... [Read more...]

Microsoft is sponsoring another free MOOC starting on September 24: Data Science and Machine Learning Essentials. This course provides a five-week introduction to machine learning and data science concepts, including the open-source programming tools for data science: R and Python. (Read more about the course in this post on TechNet.) This ... [Read more...]

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The MapReduce paradigm has long been a staple of big data computational strategies. However, properly leveraging MapReduce can be a …Continue reading → [Read more...]

The graphs below summarize the projections from a variety of sources. This week’s summary includes projections from: CBS: CBS Average, Yahoo Sports, NFL, NumberFire, FantasySharks, ESPN, FFToday and FantasyFootballNerd. The[...] The post Running Back and Wide Receiver Gold Mining – Week 2 appeared first on Fantasy Football Analytics. [Read more...]

Andy Nicholls, Head of Consulting, Mango Solutions On Monday I was supporting Aimée Gott’s EARL workshop on “Current Best Practices in Formal Package Development”. A question came up which often comes up on our public and private training courses as … Continue reading → [Read more...]

R has an extensive range of builtin datasets, which are useful for experimenting with the language. The RDatasets package makes many of these available within Julia. We'll see another way of accessing R's datasets in a couple of days' time too. In the meantime though, check out the documentation for ... [Read more...]

by Joseph Rickert In a recent post focused on plotting time series with the new dygraphs package, I did not show how easy it is to read financial data into R. However, in a thoughtful comment to the post, Achim Zeileis pointed out a number of features built into the ... [Read more...]