Introduction In clustering you let data to be grouped according to their similarity. A cluster model is a group of segments -clusters- containing cases (such as clients, patients, cars, etc.). Once a cluster model is developed, one question arises: How can I describe my model? Here we present a way ... [Read more...]

I have put together some basic material on survival analysis. It is available as: .html document with highlighted syntax here. Printer-ready .pdf document here. GitHub repository with all the source files here. Main motivation was that I wanted to learn the basics myself; also, it's tricky to find simple examples ... [Read more...]

We will be showcasing our RMOA package at the next R User conference in Aalborg. For the R users who are unfamiliar with streaming modelling and want to be ahead of the Gartner Hype cycle or want to evaluate existing streaming machine learning models, RMOA allows to build, run and ... [Read more...]

In clustering one of major problem a researcher/analyst face are two question. First, does the given dataset has any clustering tendency?And second, how to determine an optimal number of clusters in a dataset validate the clustered results. In this post, I have attempted to answer this using R [Read more...]

This is a quick technical post, that is as much about disseminating the information as putting it in a place where I can find it again in the future. I have been trying to use openMP in an R package … Continue reading → [Read more...]

I was recently asked to write a survey on copulas for financial time series. The paper is, so far, unfortunately, in French, and is available on https://hal.archives-ouvertes.fr/. There is a description of various models, including some graphs and statistical outputs, obtained from read data. To illustrate, I’... [Read more...]

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By Mark Sellors, Mango UK On Tuesday 5th of May, O’Reilly Media and Cloudera, a distributor of a Hadoop based big data platform, brought their ‘Strata + Hadoop World‘ conference to London. The conference features a mixture of Data Science, … Continue reading → [Read more...]

by Gregory Vandenbrouck Software Engineer at Microsoft This post is the first in a series that covers pulling data from various Windows Azure hosted storage solutions (such as MySQL, or Microsoft SQL Server) to an R client on Windows or Linux. We’ll start with a relatively simple case of ... [Read more...]

I think you’ll agree with me if I say: It’s HARD to know whether to use Python or R for data analysis. And this is especially true if you’re a newbie data analyst looking for the right language to start with. It turns out that there are ... [Read more...]

On 4 June 2015 – 14:30 there will be a free tutorial: analysing and modelling areal data with ‘spdep’. Starting at 16:30 there will be the Ninth Torino R net meeting. Events will take place at Campus Luigi Einaudi, Università degli Studi di Torino. … Continue reading → [Read more...]

Presentations of the eighth Torino R net meeting are now available on line, section Downloads. Thank you to all who attended the meeting on Thursday 17th September in Torino and special thanks to presenters. … Continue reading → [Read more...]

In the previous post, we examined some configuration issues with Cloudera Manager and Hadoop services in the latest release of Oracle Big Data Lite VM (4.1.0). In this post we report issues with Oracle R Enterprise, and the remedies we applied. It turns out that if we load the ORE package ... [Read more...]

IntroductionIn this post I am going to show how to extract data from web pages in table format, transform these data into spatial objects in R and then plot them in maps.ProcedureFor this project we need the following two packages: XML and raster.The first package is used to ... [Read more...]

In my previous post I discussed how Longley-Cook, an actuary at an insurance company in the 1950's, used Bayesian reasoning to estimate the probability for a mid-air collision of two planes.Here I will use the same model to get started with Stan/RStan, a probabilistic programming language for Bayesian ... [Read more...]

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At this post i will show you how to deploy Shiny Apps easily with a simple git push. But, what’s a git push? I’m referring to the git command used with remote repositories. With this command you can deploy apps easily with a PaaS (Platform as a Service) ... [Read more...]

When experimenting with various quantiles functions in R, I was shocked [ok this is a bit excessive, let us say surprised] by how widely the execution times would vary. To the point of blaming a completely different feature of R. Borrowing from Charlie Geyer’s webpage on the topic of ... [Read more...]

R uses the generic scale( ) function to center and standardize variables in the columns of data matrices. The argument center=TRUE subtracts the column mean from each score in that column, and the argument scale=TRUE divides by the column standard devi... [Read more...]

An elastic infrastructure for distributed R Most of us recall the notion of elasticity from Economics 101. Markets are about supply and demand, and when there is an abundance of supply, prices usually go down. Elasticity is a measure of how responsive one economic variable is to another, and in an ... [Read more...]