[R] aggregate

[David L Carlson]

Your is fine, but it will be a little simpler if you use sapply() instead:

> data.frame(Z=levels(myData$Z), CP=sapply(split(myData, myData$Z), 
+     function(x) crossprod(x[, 1], x[, 2])))
  Z CP
A A 10
B B 10

David C


-----Original Message-----
From: Gang Chen [mailto:gangchen6 at gmail.com] 
Sent: Wednesday, August 24, 2016 10:17 AM
To: David L Carlson
Cc: Jim Lemon; r-help mailing list
Subject: Re: [R] aggregate

Thank you all for the suggestions! Yes, I'm looking for the cross
product between the two columns of X and Y.

A follow-up question: what is a nice way to merge the output of

lapply(split(myData, myData$Z), function(x) crossprod(x[, 1], x[, 2]))

with the column Z in myData so that I would get a new dataframe as the
following (the 2nd column is the cross product between X and Y)?

Z   CP
A   10
B   10

Is the following legitimate?

data.frame(Z=levels(myData$Z), CP= unlist(lapply(split(myData,
myData$Z), function(x) crossprod(x[, 1], x[, 2]))))


On Wed, Aug 24, 2016 at 10:37 AM, David L Carlson <dcarlson at tamu.edu> wrote:
> Thank you for the reproducible example, but it is not clear what cross product you want. Jim's solution gives you the cross product of the 2-column matrix with itself. If you want the cross product between the columns you need something else. The aggregate function will not work since it will treat the columns separately:
>
>> A <- as.matrix(myData[myData$Z=="A", 1:2])
>> A
>   X Y
> 1 1 4
> 2 2 3
>> crossprod(A) # Same as t(A) %*% A
>    X  Y
> X  5 10
> Y 10 25
>> crossprod(A[, 1], A[, 2]) # Same as t(A[, 1] %*% A[, 2]
>      [,1]
> [1,]   10
>>
>> # For all the groups
>> lapply(split(myData, myData$Z), function(x) crossprod(as.matrix(x[, 1:2])))
> $A
>    X  Y
> X  5 10
> Y 10 25
>
> $B
>    X  Y
> X 25 10
> Y 10  5
>
>> lapply(split(myData, myData$Z), function(x) crossprod(x[, 1], x[, 2]))
> $A
>      [,1]
> [1,]   10
>
> $B
>      [,1]
> [1,]   10
>
> -------------------------------------
> David L Carlson
> Department of Anthropology
> Texas A&M University
> College Station, TX 77840-4352
>
>
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jim Lemon
> Sent: Tuesday, August 23, 2016 6:02 PM
> To: Gang Chen; r-help mailing list
> Subject: Re: [R] aggregate
>
> Hi Gang Chen,
> If I have the right idea:
>
> for(zval in levels(myData$Z))
> crossprod(as.matrix(myData[myData$Z==zval,c("X","Y")]))
>
> Jim
>
> On Wed, Aug 24, 2016 at 8:03 AM, Gang Chen <gangchen6 at gmail.com> wrote:
>> This is a simple question: With a dataframe like the following
>>
>> myData <- data.frame(X=c(1, 2, 3, 4), Y=c(4, 3, 2, 1), Z=c('A', 'A', 'B', 'B'))
>>
>> how can I get the cross product between X and Y for each level of
>> factor Z? My difficulty is that I don't know how to deal with the fact
>> that crossprod() acts on two variables in this case.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.