[R] calculate with different columns from different datasets

[arun]

Hi,


Using the same datasets:

dat1<- read.table(text=" 
V1 V2 V3 
2 6 8 
4 3 4 
1 9 8 
",sep="",header=TRUE) 

dat2<- read.table(text=" 
V1 V2 V3 
6 8 4 
2 0 7 
8 1 3 
",sep="",header=TRUE) 

sapply(seq_len(ncol(dat1)),function(i) cor(dat1[,i],dat2[,i],method="spearman"))
#[1] -1.0000000  0.5000000 -0.8660254


#or
 diag(cor(dat1,dat2,method="spearman"))
#        V1         V2         V3 
#-1.0000000  0.5000000 -0.8660254 

A.K.




----- Original Message -----
From: laro <l_rohner at gmx.ch>
To: r-help at r-project.org
Cc: 
Sent: Friday, August 30, 2013 12:52 PM
Subject: Re: [R] calculate with different columns from different datasets

Thank you a lot A.K.!

One more question:

I'd like to compute the Spearman's rank correlation coefficients for V1
(from dat1) and V1 (from dat2) and so on... Do you know how to do that?
I managed to write the Pearson's correlation product moment coefficient with
your sapply-approach, but I have no idea how to rank it.

Kind regards



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