nnet2sas() version 1 introduced a way to export a nnet() model trained in R to Base SAS through metaprogramming, and now nnet2sas() version 2 introduces support for variable centering and scaling as implemented in caret::train(). See the link for version … Continue reading → [Read more...]

The RHadoop project, the open-source project supported by Revolution Analytics to integrate R and Hadoop, continues to evolve. Now available is version 2 of the rmr package, which makes it possible for R programmers to write map-reduce tasks in the R language, and have them run within the Hadoop cluster. This ... [Read more...]

Hiveplots are the über-cool graph visualization created by the prolific Martin Krzywinski and ported to R by the equally talented Bryan Hanson. Martin has created a network visualization tool which displays the underlying structure of a network and ends the … Continue reading → [Read more...]

I’m happy to announce that I’ve finally finished my rGtrends package, an interface for the unofficial python Google trends API. It’s a simple function that will allow you to search Google Trends from within R. I haven’t really come up with how this is really relevant ... [Read more...]

Building on the basic histogram with a density plot, we can add measures of central tendency (in this case, mean and median) and a legend.Like last time, we'll use the beaver data from the datasets package.hist(beaver1$temp, # histogram col =... [Read more...]

I’ve peeped a number of object-oriented R tutorials. This is the first one I could make it through. Easy and pleasant to read. [Read more...]

Given a fixed set of items (say, 6 A, 12 B and 12 C) what algorithm will generate a randomised sequence containing all of these items with any adjacent pairs being different, e.g., no AA, BB or CC in the sequence? The answer would seem to be provided in my last post. ... [Read more...]

R provides several frameworks for composing figures. Base graphics is the simplest, grid is more advanced, and the lattice/ggplot packages provide convenient abstractions of the grid graphics system. Multi-element figures can be readily created in... [Read more...]

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People go on rage, when governments initiate surveillance projects like CleanIT, nevertheless share very private data without a doubt. I have to admit, that some data leaks are well buried in the process. Take for example Garmin which produces GPS training devices for runners. In order to see your workouts ... [Read more...]

Inspired by this blog post from theBioBucket, I created a script to parse all pdf files in a directory. Due to its reliance on the Terminal, it’s Mac specific, but modifications for other systems shouldn’t be too hard (as a start for Windows, see BioBucket’s script). First, ... [Read more...]

A long title, but there are a couple of handy things in this Gist. The first, and more obscure, is the conversion of a data.frame of categorical variables into a matrix of dummy/binary/indicator variables, one for each category of each original variab... [Read more...]

[This article was first published on Christopher Gandrud (간드루드 크리스토파), and kindly contributed to R-bloggers]. (You can report issue about the content on [Read more...]

Jeffrey Breen (the man behind the Twitter airline sentiment analysis example) recently posted a collection of slides with some great tips for accessing data from R. "Tapping the Data Deluge" includes information on: Using the XLConnect package to read data from Excel spreadsheets Using the foreign package to read SPSS, ... [Read more...]

Do you always wonder if I have chosen the right power company and have not been over charged? Your questions may be answered here (if you reside in Wellington, New Zealand). Power costs per day and per month_Oct_2012 shows which company … Continue reading → [Read more...]

I'm very glad if you use or at least read sometimes my blog. However, I'd like to give you a list of wonderful blogs which are useful if you are interested in applied mathematics and programming for simulation.My favorite one is written by Arthur Charp... [Read more...]

The sum function in R is a special one in contrast to other summary statistics functions such as mean and median. The first distinguish is that it is a Primitive function where the others are not (Although you can call mean using .Internal). This ... [Read more...]

In developing plots, I often use color (or “colour” in ggplot2 parlance) to reflect values of a third, non-X/Y, variable. Depending on the distribution of this Z variable, however, the effective color range can be narrow, making it difficul... [Read more...]

Two months ago I was told one of my old blog posts was borrowed to this post: Finding patterns in big data with SAS/GRAPH. I wrote my blog post four years ago just for fun. The over-plotting issue is pretty boring to me now, but what caught my attentio... [Read more...]

Oracle Server Technologies Curriculum has just released the Oracle R Enterprise Tutorial Series, which is publicly available on Oracle Learning Library (OLL). This 8 part interactive lecture series with review sessions covers Oracle R Enterprise ... [Read more...]