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Blogs about: R Code

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Some thoughts on the sensitivity of mixed models to (two types of) outliers

tiflo wrote 2 weeks ago: Outliers are a nasty problem for both ANOVA or regression analyses, though at least some folks  cons … more →

Tags: Statistics & Methodology, statistics/R, Chuck Clifton, Doug Roland, f2, Frank Keller, Hal Tily, mixed logit model, mixed models

Some R code to understand the difference between treatment and sum (ANOVA-style) coding2 comments

tiflo wrote 2 weeks ago: Below, I’ve posted some code that generates an artificial data set creates both treatment (a.k … more →

Tags: Statistics & Methodology, statistics/R, ANOVA, coding, collinearity, main effects, simple effects, sum coding, treatment coding

Nagelkerke and CoxSnell Pseudo R2 for Mixed Logit Models

tiflo wrote 4 months ago: What to do when you need an intuitive measure of model quality for your logit (logistic) model? The … more →

Tags: Statistics & Methodology, statistics/R, CoxSnell, measure of model quality, mixed logit model, multilevel logit model, Nagelkerke, R square

little function to clean up factor variables after subset-ing2 comments

tiflo wrote 7 months ago: I am always annoyed that one has to remind R to reduce the number of levels of a factor after a subs … more →

Tags: statistics/R, Statistics & Methodology, Factors, reduce levels, RData

Random effect: Should I stay or should I go?

tiflo wrote 7 months ago: One of the more common questions I get about mixed models is whether there are any standards regardi … more →

Tags: Statistics & Methodology, statistics/R, mixed models, multilevel models, random effects

Multinomial random effects models in R2 comments

aufrank wrote 8 months ago: This post is partly a response to this message. The author of that question is working on ordered ca … more →

Tags: HLP lab, Statistics & Methodology, statistics/R, mixed logit model, mixed multinomial models, multilevel logit model, multilevel models, multinomial models, regression

Centering several variables4 comments

tiflo wrote 8 months ago: One of the most common issues in regression analyses of even balanced experimental data is collinear … more →

Tags: statistics/R, HLP lab, Statistics & Methodology, Centering, preparing data

Jaeger (2008), J Memory Language, 59, 434-446

tiflo wrote 8 months ago: Since I get asked for the R code I promised in my 2008 JML paper on mixed logit models every now and … more →

Tags: statistics/R, class/tutorial, Articles, Statistics & Methodology, For Students, Papers & Presentations, Jaeger 2008, Tutorials

Visualizing the quality of an glmer(family="binomial") model

tiflo wrote 11 months ago: Ah, while I am at, I may as well put this plot up, too. The code needs to be updated, but let me kno … more →

Tags: HLP lab, visualization, multilevel logit model, mixed logit model, Evaluation

Modeling self-paced reading data: Effects of word length, word position, spill-over, etc.3 comments

tiflo wrote 1 year ago: I’ve been using a two-step approach, where in the first step I use all data (including fillers … more →

Tags: statistics/R, self-paced reading, Statistics & Methodology, spill over

R-code for reading time data preparation2 comments

tiflo wrote 1 year ago: Some time ago I posted some R-code on how to create spill-over data from a linger reading time file … more →

Tags: statistics/R, self-paced reading

Categorical Data Analysis

tiflo wrote 2 years ago: If you’re interested in getting an intro to ordinary logistic regression and mixed logit model … more →

Tags: statistics/R, Articles, jml

R-code for visual model summaries: linear mixed models

tiflo wrote 2 years ago: Here is some code to summarize the coefficients of a linear mixed model that produces nice graphs li … more →

Tags: statistics/R, corpus-based research, visualization, linear mixed models

Spill-over effects in self-paced reading1 comment

tiflo wrote 2 years ago: I’ve been working on some R-code for spill-over analysis for self-paced reading experiments. I … more →

Tags: self-paced reading, statistics/R


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