Lesson files used in the Analysis of Factorial Designs for Psychologists.
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Updated
Apr 4, 2026 - R
Lesson files used in the Analysis of Factorial Designs for Psychologists.
Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"
One consistent R interface for comparing groups: Welch, Kruskal-Wallis, ANCOVA, repeated measures, MANOVA, logistic, count and any GLM — each with matched assumption checks, effect sizes, marginal means and post-hoc comparisons.
Analysis of global antimicrobial resistance burden using WHO priority pathogens and Global Burden of Disease data across socio-demographic index levels and time trends.
Estimated marginal means, contrasts, and small-sample mixed-model inference for Python — a native port of R's emmeans and pbkrtest.
R code for data transformation, analysis and visualization of experimental data, as well as for statistical analyses and quantitative simulations.
Assisted Experimental Design, Topology Planning, and Mixed Models Engine for Agricultural and Biological Sciences in R
Moral Anger and Disgust: Recipient vs. Initiator Focus in Moral Transgressions
To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)
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