This week, the post is an interview with Max Marchi. Max is the author, with Jim Albert, of the book "Analyzing baseball data with R". Hi, Max. Welcome back to MilanoR. Last time you wrote for us a series of … Continue reading → [Read more...]

by Joseph Rickert In this roundup of R-related news: Domino enables data science collaboration; Plotly adds an R graphics gallery; Revolution Analytics R user group sponsorship applications are open; and Quandl adds new data sets. San Francisco startup takes on collaborative Data Science Domino, a San Francisco based startup, is ... [Read more...]

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’tis the season to consume! But for this part of the year, as the Winter Solstice approaches, we consume not for ourselves, but for others, and that’s generally a good thing. Each year we here at Science… sort of like to put together a list of suggestions for the ... [Read more...]

Big data was one of the biggest topics on this year’s useR conference in Albacete and it is definitely one of today’s hottest buzzwords. But what defines “Big Data”? And on the practical side: How can big data be tackled in R? What data is big? Hadley Wickham, ... [Read more...]

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Jeong Eun (Kate) Lee and I completed this paper, “Importance sampling schemes for evidence approximation in mixture models“, now posted on arXiv. (With the customary one-day lag for posting, making me bemoan the days of yore when arXiv would give a definitive arXiv number at the time of submission.) Kate ... [Read more...]

Christian Robert reviewed on line a paper that was critical of non-informative priors. Among the points that were discussed by him and other contributors (e.g. Keith O’Rourke), was the issue of induced priors, i.e. priors which arise from a transformation of original parameters, or of observables. I ... [Read more...]

The Climate Prediction Center's (CPC) daily rainfall data for the entire world, 1979 - present & 50-km resolution, is one of the few high quality and long term observation-based rainfall products. Data is available at CPC's ftp site. However, it is a lot of data and there is no software to analyze ... [Read more...]

The Climate Prediction Center's (CPC) daily rainfall data for the entire world, 1979 - present & 50-km resolution, is one of the few high quality and long term observation-based rainfall products. Data is available at CPC's ftp site. However, it is... [Read more...]

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By inspired from this Quora question, I have been started working on how can R and Hadoop integrated to be used together? By very hard verification process, finally I got the possible ways to use R and Hadoop together for performing Big Data Analytics. This blog post is written with ... [Read more...]

I’d like to announce the release of version 0.7 of my R package for data visualization and give a small overview of this package (download and installation instructions can be found on the package page). What does this package do? In short, the functions in this package mostly do two ... [Read more...]

We are converging towards MCMSki IV getting closer and closer to the conference! I hope that by now all intended participants have registered (registration is still open!), found a place where to stay during and around the conference (still feasible!), and booked their flight to Geneva (or nearby). First, please ... [Read more...]

The Geospatial Data Abstraction Library (GDAL) is a workhorse of digital mapping. Written in c++, it underpins many online and desktop geoprocessing programs including QGIS and GeoServer. Through its OGR library, GDAL enables the import and export of most common spatial data formats, including the trusty ESRI Shapefile. These features ... [Read more...]

My first statistical software package I used as an undergrad was SPSS. I was fortunate during my senior year at Luther College to be initially introduced to R. I did not realize it at the time (except for the pretty graphics) that this was the start of something big for ... [Read more...]

I am happy to announce that version 1.0 of the PSAboot package has been released to CRAN. This package implements bootstrapping for propensity score analysis. This deviates from typical implementations such as boot in that it allows for separate sampling specifications for treatment and control units. For example, in the case ... [Read more...]

Following on from last week, where I presented a simple example of a Bayesian network with discrete probabilities to predict the number of claims for a motor insurance customer, I will look at continuos probability distributions today. Here I follow example 16.17 in Loss Models: From Data to Decisions [1]. Suppose there ... [Read more...]

Following up on my recent post about implementing a queue as a reference class, I am going to derive a Priority Queue class. Inheritance The syntax for Reference Class inheritance is quite intuitive. We need to modify only two of the methods. The most important of these is insert(), which ... [Read more...]

The getSymbols function from the quantmod package is an easy and convenient way to bring historical stock prices into your R environment. You need to specify the list of tickers, the source of historical prices and dates. For example following commands will download historical stock prices from yahoo finance for ‘... [Read more...]