Monthly Archives: March 2014

Using R: quickly calculating summary statistics (with dplyr)

March 26, 2014
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Using R: quickly calculating summary statistics (with dplyr)

I know I’m on about Hadley Wickham‘s packages a lot. I’m not the president of his fanclub, but if there is one I’d certainly like to be a member. dplyr is going to be a new and improved ddply: a package that applies functions to, and does other things to, data frames. It is also

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MCMC for Econometrics Students – Part IV

March 26, 2014
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MCMC for Econometrics Students – Part IV

This is the fourth in a sequence of posts designed to introduce econometrics students to the use of Markov Chain Monte Carlo (MCMC, or MC2) simulation methods for Bayesian inference. The first three posts can be found here, here, and here, and I'll assume that you've read them already. The emphasis throughout is on the...

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CpG Island shelves

March 26, 2014
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Nowadays, regions with relatively lower CpG density are gaining importance in DNA methylation studies. This is based on the fact that a majority of CpG rich regions (CpG islands) are non-dynamic and less variant in terms of methylation status probed ac...

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How to open an SPSS file into R

March 26, 2014
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R is a powerful system for statistical analysis and data visualization. However, it’s not exactly user-friendly for data storage, so, still for several time your data will be archived using Excel, SPSS or similar programs. How to open into R … Continue reading →

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Accessing iNaturalist data

March 26, 2014
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Accessing iNaturalist data

The iNaturalist project is a really cool way to both engage people in citizen science and collect species occurrence data. The premise is pretty simple, users download an app for their smartphone, and then can easily geo reference any specimen they see, uploading it to the iNaturalist website. It let's users turn casual observations into meaningful...

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RProtoBuf 0.4.1

March 25, 2014
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A new bug-fix release release 0.4.1 of RProtoBuf, is now on CRAN. RProtoBuf provides GNU R bindings for the Google Protocol Buffers ("Protobuf") data encoding library used and released by Google, and deployed as a language and operating-system agno...

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R 101: Summarizing Data

March 25, 2014
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R 101: Summarizing Data

When working with large amounts of data that is structured in a tabular format, a common operation is to summarize that data in different ways using specific variables. In Microsoft Excel, pivot tables are a nice feature that is used for this purpose. While not as “efficient” in relation to Excel pivot tables, R also

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Practical Data Science with R: Release date announced

March 25, 2014
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Practical Data Science with R: Release date announced

It took a little longer than we’d hoped, but we did it! Practical Data Science with R will be released on April 2nd (physical version). The eBook version will follow soon after, on April 15th. You can preorder the pBook now on the Manning book page. The physical version comes with a complimentary eBook version Related posts:

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Using R: quickly calculating summary statistics from a data frame

March 25, 2014
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Using R: quickly calculating summary statistics from a data frame

A colleague asked: I have a lot of data in a table and I’d like to pull out some summary statistics for different subgroups. Can R do this for me quickly? Yes, there are several pretty convenient ways. I wrote about this in the recent post on the barplot, but as this is an important

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A Thumbnail History of Ensemble Methods

March 25, 2014
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A Thumbnail History of Ensemble Methods

By Mike Bowles Ensemble methods are the backbone of machine learning techniques. However, it can be a daunting subject for someone approaching it for the first time, so we asked Mike Bowles, machine learning expert and serial entrepreneur to provide some context. Ensemble Methods are among the most powerful and easiest to use of predictive analytics algorithms and R...

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