1195 search results for "tutorial"

Processing Public Data with R

July 13, 2012
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Processing Public Data with R

I use R aplenty in analysis and thought it might be worthwhile for some to see the typical process a relative newcomer goes through in extracting and analyzing public datasets In this instance I happen to be looking at Canadian air pollution statistics. The data I am interested in is available on the Ontario Ministry

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Analysing time course microarray data using Bioconductor: a case study using yeast2 Affymetrix arrays

July 13, 2012
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Analysing time course microarray data using Bioconductor: a case study using yeast2 Affymetrix arrays

A few years ago I was involved in analysing some time-course microarray data. Our biological collaborators were interested in how we analysed their data, so this lead to a creation of tutorial, which in turn lead to a paper. When we submitted the paper, one the referees “suggested” that we write the paper using Sweave;

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A gWidgets GUI for climate data

July 9, 2012
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A gWidgets GUI for climate data

If you haven’t worked with the gWidgets package it’s worth some time exploring it which is what I’ve been doing for a little paleo project I’ve been working on. After struggling with the few demos and tutorials I could find I went ahead and bought the book: Programming Graphical User Interfaces in R. Luckily the

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introduction to R: learning by doing (part 1)

July 9, 2012
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introduction to R: learning by doing (part 1)

Geography is often about statistics as it is the basis for fast exchange of information: providing a mean and standard deviation to the audience is often much easier then showing raw data: Learning a script language for this purpose can be a hard-ass work. But I think it is more often a need of practice.

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ggplot2 – much easier with JGR and Deducer

July 7, 2012
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ggplot2 – much easier with JGR and Deducer

In the last R-User meeting in Cologne, we had a discussion about using ggplot2 – and I gave a short introduction of how to use ggplot2 with JGR and Deducer. Basically, JGR is a Graphical User Interface for R, and Deducer is a kind of “data analysis plugin”, that also comes with a so-called “plot

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Blog with Knitr and Jekyll

July 3, 2012
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Blog with Knitr and Jekyll

The knitr package provides an easy way to embed R code in a Jekyll-Bootstrap blog post. The only required input is an R Markdown source file. The name of the source file used to generate this post is 2012-07-03-knitr-jekyll.Rmd, available here. Steps taken to build this post are as follows: Step 1 Create a Jekyll-Boostrap blog if...

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Bayesian Nonparametrics in R

June 25, 2012
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Bayesian Nonparametrics in R

On July 25th, I’ll be presenting at the Seattle R Meetup about implementing Bayesian nonparametrics in R. If you’re not sure what Bayesian nonparametric methods are, they’re a family of methods that allow you to fit traditional statistical models, such as mixture models or latent factor models, without having to fully specify the number of

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useR 2012: main conference braindump

June 24, 2012
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useR 2012: main conference braindump

I knew R was versatile, but DANG, people do a lot with it: > > … I don’t think anyone actually believes that R is designed to make *everyone* happy. For me, R does about 99% of the things I … Continue reading →

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Querying DBpedia from R

June 24, 2012
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DBpedia is an extract of structured information from wikipedia. The structured data can be retrieved using an SQL-like query language for RDF called SPARQL. There is already an R package for this kind of queries named SPARQL.There is an S4 class Dbpedia part of my datamart package that aims to support the creation of predefined parameterized queries. Here is...

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Highlights of the useR! 2012 – Review of the reviews

June 24, 2012
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Highlights of the useR! 2012 – Review of the reviews

It’s gutted that I could not attend useR! 2012 after having a great time at useR!2011 at Warwick. However, a great active online community of useRs allows me to get lots of goods stuffs from the conference even though I did not attend physically. By keep following the #useR2012 and #rstats in Twitter and reading some great posts from R-bloggerRs on the

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