[R] Help on calculating spearman rank correlation for a data frame with conditions

[arun]

Hi,
Try this:
dat1<-read.table(text="
id  price  distance
1  2    4
1  3    5
2  4  8
2  5  9
3  6  3
3  4  8 
",sep="",header=TRUE)
dat2<-split(dat1,dat1$id)
 lapply(dat2,function(x) cor(x[2],x[3],method="spearman"))
A.K.




----- Original Message -----
From: Yi <liuyi.feier at gmail.com>
To: R-help at r-project.org
Cc: 
Sent: Tuesday, August 28, 2012 10:01 PM
Subject: [R] Help on calculating spearman rank correlation for a data frame with conditions

Dear all,

Suppose my data frame is as follows:

id  price  distance
1   2     4
1   3    5
...
2  4   8
2  5   9
...
n  3   7
n   8  9

I would like to calculate the rank-order correlation between price and
distance for each id.

cor(price,distance,method = "spearman") calculate a correlation for all.

Then I tried to use
apply(data,list='id',cor(price , distance , method = "spearman"))
to

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