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regression-simulations

Simulations of standard errors, confidence intervals, statistical significance, and omitted variable bias in regression analysis. Scripts are written in R.

rmarkdown

Dynamic Documents for R

rpmodels

rtdists

RT distributions in R

scvsarp_experiment

sds-201

Slides, labs, problem sets, and miscellaneous materials for Smith SDS 201 taught by Will Hopper.

shiny-sse

A Shiny app to help illustrate how different error metrics guide statistical modeling and estimation

shiny-variance

A Shiny app to demonstrate biased vs. unbiased estimation of a population variance using monte carlo simulation

ssw-858

Slides, problem sets, and miscellaneous materials for Smith SSW 858 and 859 taught by Will Hopper

stat2-r-companion

Demonstrates how to perform the analysis from STAT2: Modeling with Regression and ANOVA using R

stats_demos

Some animated demos for stats class

svdprec

Analyses comparing Speeded vs Delayed and probabilistically hinted recognition memory judgments

tts-rt

Time-to-sample models of free recall latencies

unrecogsource-analysis

Analysis reports for the "Source judgment for unrecognized items" 2019 experiment

usf-wan-ss

USF Word Association Norms Stimulus Set

whopper

Day to day R utility functions