Monthly Archives: January 2014

Bayesian First Aid

January 10, 2014
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Bayesian First Aid

So I have a secret project. Come closer. I’m developing an R package that implements Bayesian alternatives to the most commonly used statistical tests. Yes you heard me, soon your t.testing days might be over! The package aims at being as easy as possible to pick up and use, especially if you are already used to the classical .test...

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Spatial clipping and aggregation in R

January 10, 2014
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Spatial clipping and aggregation in R

A common task in GIS is comparing the spatial extent of one layer with another. Say you have a load of points, some of which overlay a polygon layer. You are only interested in the points that intersect with the points. What do you do? Also, how can you aggregated-up the values contained in the points to correspond with the...

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Instrumental Variables Simulation

January 9, 2014
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Instrumental Variables Instrumental variables are an incredibly powerful for dealing with unobserved heterogenity within the context of regression but the language used to define them is mind bending. Typically, you hear something along the lines of “an instrumental variable is a variable that is correlated with x but uncorrelated with...

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sjPlot 0.9 (data visualization package) now on CRAN #rstats

January 9, 2014
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sjPlot 0.9 (data visualization package) now on CRAN #rstats

Since version 0.8, my package for data visualization using ggplot has been released on the Comprehensive R Archive Network (CRAN), which means you can simply install the package with install.packages("sjPlot"). Last week, version 0.9 was released. Binaries are already available for OS X and Windows, and source code for Linux. Further updates will no longer

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ggplot2: Cheatsheet for Barplots

January 9, 2014
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User Request – Middle Segments

January 9, 2014
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User Request – Middle Segments

Recently, a user of ggtern was desirable to produce a plot similar to what can be found HERE. This is relatively simple, given the use of layers during plot construction. In ggplot2 (and hence ggtern), one can define a 'global' dataframe in the constructor, which gets picked up by each layer, UNLESS one states an… The post User...

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Quantitative Finance Applications in R – 2

January 9, 2014
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Quantitative Finance Applications in R – 2

by Daniel Hanson QA Data Scientist, Revolution Analytics Some Applications of the xts Time Series Package In our previous discussion, we looked at accessing financial data using the quantmod and Quandl R packages. As noted there, the data series returned by quantmod comes in the form of an xts time series object, and Quandl provides a parameter that sets...

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Summarising multivariate palaeoenvironmental data

January 9, 2014
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Summarising multivariate palaeoenvironmental data

The horseshoe effect is a well known and discussed issue with principal component analysis (PCA) (e.g. Goodall 1954; Swan 1970; Noy-Meir & Austin 1970). Similar geometric artefacts also affect correspondence analysis (CA). In part 1 of this series I looked at the implications of these “artefacts” for the recovery of temporal or single dominant gradients from multivariate palaeoecological data....

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USA Drought of 2013: Analysis of High-resolution Rainfall Data Using R

January 8, 2014
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USA Drought of 2013: Analysis of High-resolution Rainfall Data Using R

The ongoing drought in California and other parts of Southwestern United States has been reported extensively by newspapers and government sites.Although rainfall deficit is technically meteorological drought, and drought could be of several other...

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MCMSki IV [day #3]

January 8, 2014
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MCMSki IV [day #3]

Already on the final day..! And still this frustration in being unable to attend three sessions at once… Andrew Gelman started the day with a non-computational talk that broached on themes that are familiar to readers of his blog, on the misuse of significance tests and on recommendations for better practice. I then picked the

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