return mean values and standard error/deviation

[scisea]

The data obtained from the summaryRuns option is great, however, for the "count and count_chr" tables it would be very useful to obtain the mean ROH values ( plus standard dev/error) according to the number of samples per population. That way we can really compare them. Right now we get a total number which could be biased when the pops size is different. Same for the ROH length cause we get the mean but not the standard deviation of the values.

I think it would be straightforward to achieve for someone with good R skills not like me hah but I think that by adding these options to the ddply function "SE = sd(N) / sqrt((length(N))), SD = sd(N))" ??

Anyway it is just a suggestion but I think it would be very much appreciated.
Cheers!

[bunop]

Dear @scisea ,
Thank you for your interest in detectRUNs!

for the "count and count_chr" tables it would be very useful to obtain the mean ROH values ( plus standard dev/error) according to the number of samples per population.

This seems reasonable to me. @filippob , what do you think? could this feature be added in the next release?

[filippob]

Yes, we are taking note of detected bugs and proposed enhancements for the next release. We received a number of suggestions on how to improve the stats part of the package, and will certainly consider these. Thank you!

…

On Wed, Jun 3, 2020 at 9:41 AM Paolo Cozzi ***@***.***> wrote: Dear @scisea <https://github.com/scisea> , Thank you for your interest in detectRUNs! for the "count and count_chr" tables it would be very useful to obtain the mean ROH values ( plus standard dev/error) according to the number of samples per population. This seems reasonable to me. @filippob <https://github.com/filippob> , what do you think? could this feature be added in the next release? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#16 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABGARJHCYCRVJEQDW63UWYLRUX5BFANCNFSM4NQI35AA> .

-- ----------------------------------------------------------- Filippo Biscarini *PhD, Researcher* *Bioinformatics, biostatistics, genetics* (Milan, Bruxelles, Lodi) phone: +39 340 7499754 skype: filippo.biscarini Email1: [email protected] Email2: [email protected] -----------------------------------------------------------