Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
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Updated
Jun 1, 2024 - R
Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
An example of multilevel models
I conduct multilevel regression analysis to gain comprehension of how attitudes towards government surveillance can change in the light of freedom-security choice and country difference in existential security level for citizens. I use R programming language and lme4 package to built linear multilevel models with cross-level interaction effects.
Visualise the output from allFit(), to look at the parameters for a set of predictors across a set of optimizers (e.g., bobyqa, Nelder-Mead, etc.)
Quick Guide for Modelling Count Data in A Multilevel Framework
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
R package for computing, extracting, and visualizing response-contingencies
En este repositorio subo los materiales de mis clases de R. He estado modificando/arreglando algunas y publicando otras. Cualquier duda o sugerencia favor escribirme a najulian@mat.uc.cl!
Data analysis for a water inundation experiment on dipterocarps...
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
📈🌱 Mixed Models for Agriculture in R
Elevational variation in tropical trees analysis
Mixed effect modeling with R tutorials
A quick reference for how to run many models in R.
AirBnB, Austin City Limits, Hierarchical Models, Random Effects
Demonstration of alternatives to lme4
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