Blog Archives

Exploring the robustness of Bayes Factors: A convenient plotting function

August 22, 2013
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Exploring the robustness of Bayes Factors: A convenient plotting function

One critique frequently heard about Bayesian statistics is the subjectivity of the assumed prior distribution. If one is cherry-picking a prior, of course the posterior can be tweaked, especially when only few data points are at hand. For example, see the Scholarpedia article on Bayesian statistics: In the uncommon situation that the data are extensive

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Finally! Tracking CRAN packages downloads

June 11, 2013
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Finally! Tracking CRAN packages downloads

The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always asked myself, how many people actually download my packages. Now I finally can

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At what sample size do correlations stabilize?

June 6, 2013
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At what sample size do correlations stabilize?

Maybe you have encountered this situation: you run a large-scale study over the internet, and out of curiosity, you frequently check the correlation between two variables. My experience with this practice is usually frustrating, as in small sample sizes (and we will see what “small” means in this context) correlations go up and down, change sign,

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Installation of WRS package (Wilcox’ Robust Statistics)

April 22, 2013
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Some users had trouble installing the WRS package from R-Forge. Here’s a method that should work automatically and fail-safe: ?View Code RSPLUS# first: install dependent packages install.packages(c("MASS", "akima", "robustbase"))   # second: install suggested packages install.packages(c("cobs", "robust", "mgcv", "scatterplot3d", "quantreg", "rrcov", "lars", "pwr", "trimcluster", "parallel", "mc2d", "psych", "Rfit"))   # third: install WRS install.packages("WRS", repos="http://R-Forge.R-project.org",

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Improved evolution of correlations

January 21, 2013
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Update June 2013: A systematic analysis of the topic has been published:Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609-612. doi:10.1016/j.jrp.2013.05.009 Check also the supplementary website, where you can find the PDF of the paper. As an update of this post: here’s an

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Optimizing parameters for an oscillator – Video

January 10, 2013
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Here’s a video how the modFit function from the FME package optimizes parameters for an oscillation. A Nelder-Mead-optimizer (R function optim) finds the best fitting parameters for an undampened oscillator. Minimum was found after 72 iterations, true parameter eta was -.05: Evolution of parameters in optimization process from Felix Schönbrodt on Vimeo. More on estimating

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R-package: Wilcox’ Robust Statistics updated (WRS v0.20)

January 8, 2013
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Rand Wilcox constantly updates the functions accompanying his books on robust statistics. Recently, they have been updated to version 20. The functions are available in the WRS package for R – for installation simply type install.packages("WRS", repos="http://R-Forge.R-project.org") In version 0.20, a number of functions dealing with ANCOVA have been added and some others improved. Unfortunately,

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Parse pdf files with R (on a Mac)

October 4, 2012
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Inspired by this blog post from theBioBucket, I created a script to parse all pdf files in a directory. Due to its reliance on the Terminal, it’s Mac specific, but modifications for other systems shouldn’t be too hard (as a start for Windows, see BioBucket’s script). First, you have to install the command line tool

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How to check your package with R-devel

September 12, 2012
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In response to an update to ggplot2 (now verson 0.9.2) I had to make some minor changes to our package TripleR. The CRAN maintainers also asked to … Please also fix other issues that may be apparent in checks with a current R-devel. Now, how can this be done? Here’s my workflow on Mac OS

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Visually weighted/ Watercolor Plots, new variants: Please vote!

September 6, 2012
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Visually weighted/ Watercolor Plots, new variants: Please vote!

Update Oct-23: Added a new parameter add to the function. Now multiple groups can be plotted in a single plot (see example in my comment) As a follow-up on my R implementation of Solomon’s watercolor plots, I made some improvements to the function. I fine-tuned the graphical parameters (the median smoother line now diminishes faster

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