Closed TharinduTS closed 3 years ago
Hi @TharinduTS , sorry to hear this. could you post a (small) example dataset generating this behavior? Usual culprits are untyped loci for all individuals in a sample, but this should also affect boot.ppfst
What is the result of wc(my_samples)$sigma.loc
? (these are the values you want to bootstrap)
Hi, Thanks for getting back. Please find the attached dataset which I have troubles with.
Thanks.
On Nov 11, 2020, at 3:26 AM, Jerome Goudet notifications@github.com wrote:
Hi @TharinduTS https://github.com/TharinduTS , sorry to hear this. could you post a (small) example dataset generating this behavior? Usual culprits are untyped loci for all individuals in a sample, but this should also affect boot.ppfst
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no file is attached? You mail email it to me at jerome [dot] goudet [at] unil [dot] ch
if you don't feel like posting it here
the error came from varcomp.glob
. Several of your loci (e.g. "1066") contains only NAs, and many more only a few individual typed from a single population, this is why an error is thrown. I may try to catch these in a next release, but probably a good idea to remove loci with more than 50% missing data
Thanks.
On Wed, 11 Nov 2020, 4:58 pm Jerome Goudet, notifications@github.com wrote:
the error came from varcomp.glob. one of your loci ("1066") contains only NAs, this is why an error is thrown. I'll tray to catch it in a next release.
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Hi, This may be an issue from my side or I did not see something simple. But I was trying to calculate global Fst with some samples for days. I tried a number of different methods and still could not obtain what I want.
I could read my files and calculate pairwise Fst with confidence intervals with something like
pairwise_all_chrs<-boot.ppfst(dat = my_samples,nboot = 100,quant=c(0.025,0.975))
I could also calculate global Fst, but without confidence intervals.
I am using the same file("my_samples" in this case) as I used for two above calculations which worked fine. Therefore I guess it is not something wrong with my file. But still cannot obtain global Fst with confidence intervals.
As an example when I try a command like following,(also tried with quant)
f_stats<-boot.vc(my_samples[,c(1)],my_samples[,-c(1)],nboot=100)
it gives
Error in solve.default(k, meansq) : system is computationally singular: reciprocal condition number = 0 Calls: boot.vc ... rbind -> varcomp -> apply -> FUN -> solve -> solve.default Execution halted
I tried changing these commands according to different instructions dozen of times with no luck.
Can you please tell me how I can calculate global Fst with confidence intervals using the same data. I can provide you with my files if it helps.