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It might be useful to have a specific warning when the number of iterations is equal to maxit in optimizeMap(map). I don't know if this happens often with the default setting of 1000.
In the code below, I set maxit=1, and got the generic warning about instability.
> library(Racmacs)
> packageVersion("Racmacs")
[1] ‘1.1.35’
> set.seed(850909)
> dat <- matrix(10*2^round(10*runif(100)), ncol=10)
> map <- make.acmap(dat, options = list(maxit=1))
Performing 100 optimizations
============================================================================================================
Optimization runs complete
Took 0.05 secs
Warning message:
In optimizeMap(map = map, number_of_dimensions = number_of_dimensions, :
There is some variation (12.23 AU for one point) in the top runs, this may be an indication that more optimization runs could help achieve a better optimum. If this still fails to help see ?unstableMaps for further possible causes.
The text was updated successfully, but these errors were encountered:
It might be useful to have a specific warning when the number of iterations is equal to maxit in
optimizeMap(map)
. I don't know if this happens often with the default setting of 1000.In the code below, I set maxit=1, and got the generic warning about instability.
The text was updated successfully, but these errors were encountered: