simulate unbalanced dauer assay data using 3 groups of strains I, A and B. Simulation uses day-to-day and plate-to-plate variance. Can be used to simulate any binomial data with hierarchical clusters. Contains nested function gen.dauer.data which is specific for unbalanced.data.
input list of settings for the simulation. See sim_dauer
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settings <- list(settings <- list( I = 0 #population control intercept (in logit). 0 = p(0.5) ,nP = 12 # number of plates in total (for group I) min = 12 ,nD = 6 # number of days (some will be randomly missing) min = 6 ,sP = 0.1 # plate to plate variance (0.3) ,sD = 0.5 # day to day variance (0.2) ,sG = 0.5 # genotype variance due to culture history (logit) (0.2) ,k = 60 # number animal per plate) ,A = 0 # population A intercept (expt - genotype2) ,B = 0 #pop B intercept (expt - genotype2) )) ### to plot one simulation sim_dauer_biased(settings = c(settings, do.plot = TRUE)) ### to simulate and perform model tests once - see scripts/sim_dauer_data.r for multiple simulations simulation <- sim_dauer_unbal(settings = c(settings, do.plot = FALSE, do.stan = TRUE))
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