# Monthly Archives: November 2009

## New R-Forge Site for Quantitative Pedology

November 8, 2009
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Just back from the annual meetings, and it looks like there is a significant interest in collaborative R coding of soils-related algorithms and visualization. A new R-forge site has been created to host Algorithms for Quantitative Pedology. Public release of the 'soil' package should be ready in a couple weeks.

November 7, 2009
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On Tuesday I will be speaking to the Bay Area R group about doing social network analysis in R with igraph. During the talk I will (hopefully) be doing some live SNA on the audience using R and generating data via Twitter. As a preview, or small taste for those not able

## R Tutorial Series: Zero-Order Correlations

November 6, 2009
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One of the most common and basic techniques for analyzing the relationships between variables is zero-order correlation. This tutorial will explore the ways in which R can be used to employ this method.Tutorial FilesBefore we start, you may want to dow...

## Creating scatter plots using ggplot2

November 6, 2009
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The ggplot2 package can be used as an alternative to lattice for producing high quality graphics in R. The package provides a framework and hopefully simple interface to producing graphs and is inspired by the grammar of graphics. The main function for producing graphs in this package is qplot, which stands for quick plot. The first

## Top Five Open Source Projects of 2009

November 5, 2009
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Every year, I single out what I think are the Top Five open source projects. This year, there's only one hold-over from previous years, and it's likely that I'm just going to give it a Lifetime Achievement Award and pick five others next year. 5. NetBe...

## opentick alternatives

November 5, 2009
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I've been getting a bit of traffic from people searching for opentick (the defunct company), so I've started a list of similar (but non-free) data providers. I'm not affiliated with any of these vendors, and the list is in no particular order. I'll u...

## R has a JSON package

November 5, 2009
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Named rjson, appropriately. It’s quite basic just now, but contains methods for interconversion between R objects and JSON. Something like this: > library(rjson) > data <- list(a=1,b=2,c=3) > json <- toJSON(data) > json "{\"a\":1,\"b\":2,\"c\":3}" > cat(json, file="data.json") Use cases? I wonder if RApache could be used to build an API that serves R data in JSON format? Posted in

## Show me the mean(ing)…

November 5, 2009
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$Show me the mean(ing)…$

Well testing a bunch of samples for the largest population mean isn’t that common yet a simple test is at hand. Under the obvious title “The rank sum maximum test for the largest K population means” the test relies on the calculation of the sum of ranks under the combined sample of size , where

## Scivews-K got updated again

November 4, 2009
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With the recent update, I was able to get it working properly.Interestingly, while it works on my Vista 64-bit, it does not work on my Ubuntu 64-bit. I have no idea what is going on.