[R] function on columns of two arrays

[Folkes, Michael]

Well that was frightfully simple. It's true that if data structure allows it seems best to flatten the data, yes?
Thanks to A.K.
Michael 

-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com] 
Sent: August 20, 2013 4:43 AM
To: Folkes, Michael
Cc: R help
Subject: Re: [R] function on columns of two arrays

Hi,
May be this helps.

  a1<- data.frame(a)
 b1<- data.frame(b)
 lapply(seq_len(ncol(a1)),function(i) lm(b1[,i]~a1[,i]))

 lapply(seq_len(ncol(a1)),function(i) summary(lm(b1[,i]~a1[,i]))$coef)

A.K.

----- Original Message -----
From: "Folkes, Michael" <Michael.Folkes at dfo-mpo.gc.ca>
To: r-help at r-project.org
Cc: 
Sent: Tuesday, August 20, 2013 3:34 AM
Subject: [R] function on columns of two arrays

I've spent a bit too long searching the help history and attempting to apply some logic to the following:
I have two 3D arrays each with same dim. I wish to run lm on the respective columns of each array, preferably without loops.
We often hear chatter that sometimes apply() won't be faster "just use a for loop" I'd like to test this one...
I just can't seem to wrap my brain around use of mapply on this task and am more surprised that I'm not finding a solution out there already.


a <- array(1:60,dim=5:3)
b <- a*3+10
lm(b[,1,1]~a[,1,1])
#and repeat for all rows and columns...

thanks in advance.
Michael

_______________________________________________________
Michael Folkes
Salmon Stock Assessment
Canadian Dept. of Fisheries & Oceans Pacific Biological Station

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