4717 search results for "git"

How to format plots for publication using ggplot2 (with some help from Inkscape)

November 20, 2013
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How to format plots for publication using ggplot2 (with some help from Inkscape)

The following is the code from a presentation made by Rosemary Hartman to the Davis R Users’ Group. I’ve run the code through the spin function in knitr to produce this post. Download the script to walk through here. First, make your plot. I am going to use the data already in R about sleep habits...

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Plugging hierarchical data from R into d3

November 20, 2013
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Plugging hierarchical data from R into d3

Here I show how to convert tabulated data into a json format that can be used in d3 graphics. The motivation for this was an attempt at getting an overview of topic models (link). Illustrations like the one to the right are very attractive; my motivati...

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Sending data from client to server and back using shiny

November 20, 2013
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Sending data from client to server and back using shiny

After some time of using shiny I got to the point where I needed to send some arbitrary data from the client to the server, process it with R and return some other data to the client. As a client/server programming newbie this was a challenge for me as I did not want to dive

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Art of Statistical Inference

November 20, 2013
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Art of Statistical Inference

(This article was first published on MATHEMATICS IN MEDICINE, and kindly contributed to R-bloggers) Art of Statistical Inference Art of Statistical Inference This post was written by me a few years ago, when I started learning the art and science of data analysis. It will be a good starter for the amateur data analysts. Introduction What is statistics? There...

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On the use of marginal posteriors in marginal likelihood estimation via importance-sampling

November 19, 2013
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On the use of marginal posteriors in marginal likelihood estimation via importance-sampling

Perrakis, Ntzoufras, and Tsionas just arXived a paper on marginal likelihood (evidence) approximation (with the above title). The idea behind the paper is to base importance sampling for the evidence on simulations from the product of the (block) marginal posterior distributions. Those simulations can be directly derived from an MCMC output by randomly permuting the

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Calling R from the ERP – A dirty little hack

November 19, 2013
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Calling R from the ERP – A dirty little hack

Since I joined SAP around 2 years ago, I simply stopped using ABAP…even when I use it for almost 11 years when I was a consultant…A week ago, I was thinking about writing a new blog…something nice…some hacky…something that would allow me to just rest and don’t blog for the rest of the year…I thought about ERP and R…while...

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A Survey Tool Designed Entirely in Shiny Surveying Users of R

November 19, 2013
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A Survey Tool Designed Entirely in Shiny Surveying Users of R

I have written a very basic survey tool built entirely in the Shiny package of R.  I hope the tool is useful.  Modifying the survey for your own purposes is trivially easy (I hope).I have not commented my code so it is pretty messy right now....

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R and Solr Integration Using Solr’s REST APIs

November 19, 2013
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R and Solr Integration Using Solr’s REST APIs

Solr is the most popular, fast and reliable open source enterprise search platform from the Apache Luene project.  Among many other features, we love its powerful full-text search, hit highlighting, faceted search, and near real-time indexing. &nb...

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taxize changes

November 19, 2013
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We are building a taxonomic toolbelt for R called taxize - which gives you programmatic access to many sources of taxonomic data on the web. We just pushed a new version to CRAN (v0.1.5) with a lot of changes (see here for a rundown). Here are a few highlights of the changes. Note: the windows binary may not...

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Predicting claims with a bayesian network

November 19, 2013
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Predicting claims with a bayesian network

Here is a little Bayesian Network to predict the claims for two different types of drivers over the next year, see also example 16.16 in . Let's assume there are good and bad drivers. The probabilities that a good driver will have 0, 1 or 2 claims in any given year are set to 70%, 20% and 10%,...

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