5021 search results for "git"

R for spatial analysis tutorial + video

January 30, 2014
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On 24th January 2014 I ran a one day practical course on an "Introduction to Spatial Data Visualisation in R" at the University of Leeds, with the help of demonstrators Rachel Oldroyd and Alistair Leak, who came up from London for the event. The course is designed for people completely new to R, who are especially interested in its spatial...

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Stupid R Tricks: Random Scope

January 29, 2014
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Andrew and I have been discussing how we’re going to define functions in Stan for defining systems of differential equations; see our evolving ode design doc; comments welcome, of course. About Scope I mentioned to Andrew I would prefer pure lexical, static scoping, as found in languages like C++ and Java. If you’re not familiar The post

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Comparing multiple (g)lm in one graph #rstats

January 29, 2014
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Comparing multiple (g)lm in one graph #rstats

It’s been a while since a user of my plotting-functions asked whether it would be possible to compare multiple (generalized) linear models in one graph (see comment). While it is already possible to compare multiple models as table output, I now managed to build a function that plots several (g)lm-objects in a single ggplot-graph. The

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Finding out repeated variables in multiple datasets

January 28, 2014
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Finding out repeated variables in multiple datasets

Few days ago I posted on doing a smart job on importing several data files alike from a directory. Today, I want to return to this topic, but stretching it a bit further by adding some complexity. I want to have a snapshot of the datasets even before starting work with them. That is, I

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Using Last.fm to data mine my music listening history

Using Last.fm to data mine my music listening history

I've (passively) been keeping meticulous records of almost every song I've listened to since January of 2008. Since I opened my last.fm account 6 years ago, they've accumulated a massive detailed dataset of the 107,222 songs I've listened to since then. The best thing is that they're willing to share this data with me! I »more

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Emerging Currencies with rCharts + FRED

January 27, 2014
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I liked this chart a lot. #Dailychart: Argentina's plunging peso is not alone: http://t.co/CWnaNLcm4T pic.twitter.com/4Nr6EgRGx9— The Economist (@ECONdailycharts) January 27, 2014 I thought I would show how we can semi-replicate it in R with rCharts.  Here it is with the currencies that are on FRED with

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solr – an R interface to Solr

January 27, 2014
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A number of the APIs we interact with (e.g., PLOS full text API, and USGS's BISON API in rplos and rbison, respectively) expose Solr endpoints. Solr is an Apache hosted project - it is a powerful search server. Given that at least two, and possibly more in the future, of the data providers we...

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New in forecast 5.0

January 26, 2014
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New in forecast 5.0

Last week, version 5.0 of the forecast package for R was released. There are a few new functions and changes made to the package, which is why I increased the version number to 5.0. Thanks to Earo Wang for helping with this new version. Handling missing values and outliers Data cleaning is often the first step that data scientists...

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Announcing pingr: The R Package that Sounds as it is Called

January 26, 2014
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Announcing pingr: The R Package that Sounds as it is Called

pingr is an R package that contains one function, ping(), with one purpose: To go ping on whatever platform you are on (thanks to the audio package). It is intended to be useful, for example, if you are running a long analysis in the background and want to know when it is ready. It’s also useful if...

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Mapping the taste profile of Scottish whishkeys

January 26, 2014
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Mapping the taste profile of Scottish whishkeys

Recently, I came across this interesting blog post http://blog.revolutionanalytics.com/2013/12/k-means-clustering-86-single-malt-scotch-whiskies.html by the Revolutions blog poster Luba Gloukhov. This post initially caught my attention because of the originality of the dataset: 86 scottish whiskeys marked on a scale of 0-4 in 12 different taste profile (source data is here). Now I know what I like, and I like my

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