This function is useful when running simulations and could be used with modules that have random number generation internally meaning that results from identical runs are different. Replicate gives the same result as using list() and repeating the module multiple times.
Replicate(call, n)
call | A module call, e.g. UKAnophelesPlumbeus |
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n | The number of times to replicate the call |
A list of calls
# NOT RUN { # run a workflow, using the logistic regression model # } # NOT RUN { Without Replicate work1 <- workflow(occurrence = list(UKAnophelesPlumbeus,UKAnophelesPlumbeus,UKAnophelesPlumbeus), covariate = UKAir, process = OneHundredBackground, model = LogisticRegression, output = SameTimePlaceMap) # With Replicate work2 <- workflow(occurrence = Replicate(UKAnophelesPlumbeus, 3), covariate = UKAir, process = OneHundredBackground, model = LogisticRegression, output = SameTimePlaceMap) # The workflows are the same plot(work1) plot(work2) # Output plots show the random placement of background points # in each run work1 <- workflow(occurrence = UKAnophelesPlumbeus, covariate = UKAir, process = Replicate(Background(n=10), n = 10), model = LogisticRegression, output = PrintMap) # }