gen.apply: Generate data for a set of models and contexts
In thtrieu/edmsyn: Educational Data Synthesizer

Description Usage Arguments Value Author(s) See Also Examples

Generate data for a set of models and contexts

1	gen.apply(models, pars, multiply = TRUE, n = 1, progress = FALSE)

`pars`	a context or a list of contexts
`multiply`	a boolean value indicates in which way should `models` and `pars` be matched. If `TRUE`, each of the models is matched with every contexts in `pars`. Otherwise, they are matched element-wise. if `TRUE` the generating process will be performed on every possible combination from `models` and `pars`, if `FALSE` each model will be matched with its respective context in the same order specified in `models` and `pars`, in other words, set `multiply` to `FALSE` will make `gen.apply` does the exact same thing to `mapply(gen,models,pars)`
`n`	number of runs for each generation
`progress`	a boolean value indicates if the generating steps should be printed or not.
`model`	a character string indicates which model governs the learning process.

a matrix with each entry is a context or a list of contexts, depending on the format indicated by multiply

Hoang-Trieu Trinh, thtrieu@apcs.vn

gen, mapply, sapply

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# Suppose p1 and p2 are two different contexts
dat.1 <- gen.apply(ALL.MODELS, list(p1, p2), multiply = TRUE, n = 5)
dat.2 <- gen.apply(ALL.MODELS, list(p1, p2), multiply = FALSE, n = 5)