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"
Analysis of global antimicrobial resistance burden using WHO priority pathogens and Global Burden of Disease data across socio-demographic index levels and time trends.
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.
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.
Moral Anger and Disgust: Recipient vs. Initiator Focus in Moral Transgressions
Assisted Experimental Design, Topology Planning, and Mixed Models Engine for Agricultural and Biological Sciences in R
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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