This repo contains code for shiny apps included in the SQuID educational material. Each folder under /apps represents a single shiny app to be integrated in a separate app or website where students in behavior and evolutionary ecology can go to learn about applications of mixed-effects models and variance partitioning.
The following stand-alone shiny apps are embedded in the tutorial.
App 1 Consequences of measurement error on traits
App 2 Effects of repeated measurements of an invididual on the measurement error
App 3 Effects of the number of individuals and repeated measures on variance estimate
App 4 Effects of measurement error on estimates for the slope and variance
App 1 Effects of environmental variance on estimates of individual and residual variance
App 2 Effects of timing of sampling
App 3 Setting the environment
App 4 Biased sampling
App 1 Random slopes
App 2 Covariance of random slope and intercept
App 3 Sampling design
App 1 Two predictors
App 2 Interaction term
App 1 Covariance in random effects and fixed interaction
App 2 Covariance in random effects and fixed interaction
App 3 Covariance in random effects and random interaction
App 1 Two traits
App 2 Two correlated traits
App 3 Within- and among-individual correlation
App 4 Bivariate model with predictor
5-11