Articles by Rense Nieuwenhuis

In Memoriam: Manfred te Grotenhuis

October 14, 2018 | 0 Comments

Manfred te Grotenhuis passed away. He was a respected sociologist, statistician, and teacher. I’ll leave it to others to comment on these achievements. To me, he was my teacher and mentor in statistics, and a ... [Read more...]

When Size Matters: Weighted Effect Coding

February 24, 2017 | 0 Comments

Categorical variables in regression models are often included by dummy variables. In R, this is done with factor variables with treatment coding. Typically, the difference and significance of each category are tested against a preselected ... [Read more...]

New version of WEC: focus on interactions

January 17, 2017 | 0 Comments

We have uploaded a new version of WEC, an R package to apply ‘weighted effect coding’ to your dummy variables. With weighted effect coding, your dummy variables represent the deviation of their respective category from ... [Read more...]

Presenting Weighted Effect Coding

November 8, 2016 | 0 Comments

Weighted effect coding is a variant of dummy coding to include categorical variables in regression analyses, in which the estimate for each category represents the deviation of that category from the sample mean. The ‘wec’ ... [Read more...]

Weighted Effect Coding: Dummy coding when size matters

October 31, 2016 | 0 Comments

If your regression model contains a categorical predictor variable, you commonly test the significance of its categories against a preselected reference category. If all categories have (roughly) the same number of observations, you can also ... [Read more...]

Influence.ME now supports sampling weights

December 18, 2014 | 0 Comments

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, ... [Read more...]

influence.ME now supports new lme4 1.0

August 21, 2013 | 0 Comments

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 ... [Read more...]

influence.ME updated to version 0.9

July 13, 2012 | 0 Comments

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 ... [Read more...]

Applied R: Manual for the quantitative social scientist

March 23, 2011 | 0 Comments

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 ... [Read more...]

Index of the R-Sessions

May 17, 2010 | 0 Comments

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 ... [Read more...]

Influence.ME: Simple Analysis

July 16, 2009 | 0 Comments

With the introduction of our new package for influential data influence.ME, I’m currently writing a manual for the package. This manual will address topics for both the experienced, and the inexperienced users. I will also present much of the content ... [Read more...]

Presenting influence.ME at useR!

July 10, 2009 | 0 Comments

Today I presented influence.ME at the useR! conference in Rennes. Influence.ME is an R package for detecting influential data in mixed models. I developed this package together with Ben Pelzer and Manfred te Grotenhuis. More information about influence.ME can be ... [Read more...]
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