Blog Archives

Update influence.ME, or why I love the open source community

August 17, 2016
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The other day, Kevin Darras contacted me about my R package influence.ME. The package didn’t work with the kind of models he wanted to estimate, and Kevin was looking for a solution. He had been ...

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Influence.ME now supports sampling weights

December 18, 2014
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Influence.ME is an R package that helps detecting influential cases in multilevel regression models. It has been around for a while now, and recent changes in lme4 broke the functionality of using influence.ME with sampling weights. Thanks to a kind contribution of some code by user Jennifer Bufford, influence.ME now should work with multilevel models… Continue Reading

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influence.ME now supports new lme4 1.0

August 21, 2013
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influence.ME is an R package for detecting influential data in multilevel regression models (or, mixed effects models as they are referred to in the R community). The application of multilevel models has become common practice, but the development of diagnostic ...

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Sure, this is silly, but this makes me feel a little bit cooler

July 24, 2013
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Look at this nice video on R statistics. It really advertises doing statistics in a way that is open to anyone!

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Influence.ME: Tools for Detecting Influential Data in Multilevel Regression Models

December 20, 2012
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Despite the increasing popularity of multilevel regression models, the development of diagnostic tools lagged behind. Typically, in the social sciences multilevel regression models are used to account for the nesting structure of the data, such as students in classes, migrants ...

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Influential Data in Multilevel Regression: What are your strategies?

November 13, 2012
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The application of multilevel regression models has become common practice in the field of social sciences. Multilevel regression models take into account that observations on individual respondents are nested within higher-level groups such as schools, classrooms, states, and countries. In ...

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influence.ME updated to version 0.9

July 13, 2012
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Influence.ME is an R extension package for R that provides tools for detecting influential data in multilevel regression models. It is developed by Rense Nieuwenhuis (that’s me), Manfred te Grotenhuis, and Ben Pelzer. Recently, a new version (0.9) was uploaded ...

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Applied R: Manual for the quantitative social scientist

March 23, 2011
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Applied R for the quantitative social scientist is a manual on R written specifically as an introduction for the quantitative social scientist. To my opinion, R-Project is a magnificent statistical program, ready to be accepted and implemented in the social sciences. The flexibility of this program and the way data are handled gives the user a sense of closeness...

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Index of the R-Sessions

May 17, 2010
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The R-Sessions are a series of blog entries on using R. A large part consists of an R-manual I once wrote. Other posts include some tricks I found out, as well as entries detailing functions and packages I wrote for ...

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R Sessions 33: Select (nested) observations with equal number of occurences

September 23, 2009
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Recently, I was contacted with an question about R code. A befriended researcher was working with nested data, which was unbalanced. He was working with data in a ‘long’ format: all observations nested within the same group had the same ...

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