Passing perplexity_list in R?

[hummuscience]

It states that I should pass a list, which in R would be using list(). Additionally, it also states that perplexity should be set to 0 to use this option

#       perplexity_list - if perplexity==0 then perplexity combination will
#            be used with values taken from perplexity_list. Default: NULL
#       df - Degree of freedom of t-distribution, must be greater than 0.
#       Values smaller than 1 correspond to heavier tails, which can often 
#       resolve substructure in the embedding. See Kobak et al. (2019) for
#       details. Default is 1.0

So I ended up trying the following:
n-cells is 50k

testinglist <- fftRtsne(X = t(scaled.counts),
                        perplexity = 0,
                        perplexity_list = list(30,ncol(scaled.counts)/100),
                        learning_rate = ncol(scaled.counts)/12)

This however gives the following error:
Error in max(perplexity_list) : invalid 'type' (list) of argument

This is happening at this line:
search_k <- n_trees * max(perplexity_list) * 3

Running max(list(30,505)) gives that same error. However, running length(list(30,505)) outputs 2 so I am guessing that maybe in R it is not meant to be a list but a vector instead? Since both max and length would work then. The only question would be anything afterwards depends on perplexity_list being a list and not a vector since indexing a list is different than a vector.

Additionally it would be good to have some verbose output letting the use know that multiple perplexities are being used.

[gamanakis]

Could you try with:

perplexity_list = c(30,ncol(drg.integrated)/100)