A few months ago I started listening to Tomahawk, a band described on Wikipedia as “an experimental alternative metal/alternative rock supergroup.” Beyond the quality of their music, I found myself intrigued by the musical background of their members. In addition to Tomahawk, their other bands include acclaimed groups such ... [Read more...]

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

Today, Teradata announced the new Teradata Database 14.10 and with it some exciting news for R programmers: the first next-generation in-database R analytics that are fully parallel and scalable. In conjunction with Revolution R Enterprise, R users will soon be able to use the power of the Teradata Database as a ... [Read more...]

When I first heard of SSA (Singular Spectrum Analysis) and the EMD (Empirical Mode Decomposition) I though surely I’ve found a couple of magical methods for decomposing a time series into component parts (trend, various seasonalities, various cycles, noise). And … Continue reading → [Read more...]

One of the key tenets to doing impactful digital analysis is understanding what your visitors are trying to accomplish. One of the easiest methods to do this is by analyzing the words your visitors use to arrive on site (search keywords) and what words they are using while on the ... [Read more...]

The ideas for most of my blogs usually come from half-baked attempts to create some neat or useful feature that hasn’t been implemented in R. These ideas might come from some analysis I’ve used in my own research or from some other creation meant to save time. More ... [Read more...]

The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via ... [Read more...]

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Yesterday, I had the great pleasure to speak about using R for loss reserving at the Casualty Loss Reserving Seminar in Boston. My time was spent talking about MRMR, an R package that I’ve created. Version 0.1.2 is now on CRAN, but as there are a couple of bugs, I’... [Read more...]

I’ve had several emails recently asking how to forecast daily data in R. Unless the time series is very long, the simplest approach is to simply set the frequency attribute to 7. y [Read more...]

Earlier today, I found some interesting data on Italian MPs voting records in the current parliament (which was opened last April). The data are available for both Houses (the Italian system has a lower house, called Camera $-$ effectively the same as the House of Commons in the UK $-$ ... [Read more...]

Some useful tips recently featured on r-bloggers and originally posted at Mollie’s Research Blog are worth reading. I say moderately large because I don’t really believe there is such a thing as big data (and it looks like Mollie doesn’t … Continue reading → [Read more...]

Datanami interviews Revolution Analytics' Bill Jacobs about the upcoming Revolution R Enterprise 7, which will be available later this year. A key feature of this release is that that the big-data predictive analytics R functions in the ScaleR package will run on data situated in a Hadoop cluster, and use the ... [Read more...]

A short tutorial on doing intersections in R GIS. gIntersection{rgeos} will pick the polygons of the first submitted polygon contained within the second poylgon - this is done without cutting the polygon's edges which cross the clip source polygon. For the function that I use to download the example ... [Read more...]

Here's a function I use to download multiple zipped shapefiles from url and load them to the workspace:URLs "http://gis.tirol.gv.at/ogd/umwelt/wasser/wis_tseepeicher_pl.zip")url_shp_to_spdf require(rgdal) wd td setwd(td) temp download.file(URL, temp) unzip(temp) shp lyr ... [Read more...]

As you already know(if you often use R!!), Shiny allows us to create web applications in R easily. It doesn't require the knowledge of HTML, CSS, javascript, I mean, we don't need to write HTML, CSS and javascript directly to create web application.The... [Read more...]

Rstudio is a great tool for working with R and R scripts. And Markdown is a great way to write even complex, reproducible documents in plain text. So they make a great combination. BUT: before when writing markdown in rstudio, you had to write “—-” after your headings to get ... [Read more...]

As it stands right now Cory Booker has a very good chance of winning the New Jersey Special U.S. Senate election on October 16 to replace Frank Lautenberg and fill the remainder of his term for the next 15 months.  So with the election only about a month away I took ... [Read more...]

Today a new version (0.23.1) of the WRS package (Wilcox’ Robust Statistics) has been released. This package is the companion to his rather exhaustive book on robust statistics, “Introduction to Robust Estimation and Hypothesis Testing” (Amazon Link de/us). For a fail-safe installation of the package, follow this instruction. As a ... [Read more...]

A short follow up on a previous post on spatial overlays with R. library(sp)library(dismo)# some addresses in Austriapts # make pts spatialcoords spdf_pts # assign CRS/projection (which is WGS 1984)crs proj4string(spdf_pts) # spatial data to extract (altitude)alt # convert alt from raster to grid (needed ... [Read more...]