Re: [R] Complicated analysis for huge databases

2017-11-19 Thread Boris Steipe
solve this issue rather than unlisting the list as this > will affect > > the current shape of data (i.e. being separated dataframes). I need to find > maf for each column(I,II,III..600) under this dataframe (33_55) and the rest > of dataframes. > > __

Re: [R] Complicated analysis for huge databases

2017-11-18 Thread Duncan Murdoch
en trying since yesterday but but until now I'm not able to identify the correct syntax From: David Winsemius Sent: 18 November 2017 20:06:56 To: Allaisone 1 Cc: Boris Steipe; R-help Subject: Re: [R] Complicated analysis for huge databases On Nov 18, 2017, at 1:52 AM, Allaisone

Re: [R] Complicated analysis for huge databases

2017-11-18 Thread Boris Steipe
gives this error :- > Error in FUN(left, right) : non-numeric argument to binary operator > > I have been trying since yesterday but but until now I'm not able to identify > the correct syntax. > > > > > From: David Winsemius > Sent: 18 November 2017 20:06:56 &

Re: [R] Complicated analysis for huge databases

2017-11-18 Thread David Winsemius
4 > 9 > > . > > . > > ~180 dataframes > > > ____ > From: Boris Steipe > Sent: 18 November 2017 00:35:16 > To: Allaisone 1; R-help > Sub

Re: [R] Complicated analysis for huge databases

2017-11-17 Thread Allaisone 1
on(x)maf(tabulate(x+1))) an error message says : dim(X) must have a positive length . I'm not sure which length I need to specify.. any suggestions to correct this syntax ? Regards Allaisone From: Boris Steipe Sent: 17 November 2017 21:12:06 To: Allaisone 1 C

Re: [R] Complicated analysis for huge databases

2017-11-17 Thread Bert Gunter
Or do it at one go using ?tapply and friends Bert On Nov 17, 2017 1:12 PM, "Boris Steipe" wrote: > Combine columns 1 and 2 into a column with a single ID like "33.55", > "44.66" and use split() on these IDs to break up your dataset. Iterate over > the list of data frames split() returns. > > >

Re: [R] Complicated analysis for huge databases

2017-11-17 Thread Boris Steipe
gt; > when I run this code as before :- > > maf <- apply(SeparatedGroupsofmealsCombs, 2, function(x)maf(tabulate(x+1))) > > an error message says : dim(X) must have a positive length . I'm not sure > which length > I need to specify.. any suggestions to correc

Re: [R] Complicated analysis for huge databases

2017-11-17 Thread Boris Steipe
Combine columns 1 and 2 into a column with a single ID like "33.55", "44.66" and use split() on these IDs to break up your dataset. Iterate over the list of data frames split() returns. B. > On Nov 17, 2017, at 12:59 PM, Allaisone 1 wrote: > > > Hi all .., > > > I have a large dataset of