[R] Repeated Aggregation with data.table

[arun]

HI David,

Thanks for testing.

It's a bit strange.  Yesterday, the function was working perfectly.  Today, it is not working in my system.  Not sure what happened.
A.K.  



----- Original Message -----
From: David Winsemius <dwinsemius at comcast.net>
To: arun <smartpink111 at yahoo.com>
Cc: Elliot Joel Bernstein <elliot.bernstein at fdopartners.com>; R help <r-help at r-project.org>
Sent: Wednesday, August 8, 2012 9:17 AM
Subject: Re: [R] Repeated Aggregation with data.table


On Aug 7, 2012, at 9:28 PM, arun wrote:

> HI,
>
> Try this:
>
> fun1<-function(x,.expr){
>   .expr<-expression(list(mean.z=mean(z),sd.z=sd(z)))
>  z1<-eval(.expr)
>  }
>
> #or
> fun1<-function(x,.expr){
>   .expr<-expression(list(mean.z=mean(z),sd.z=sd(z)))
>  z1<-.expr
>  }
>
>
>  dat[,eval(z1),list(x)]
> dat[,eval(z1),list(y)]
> dat[,eval(z1),list(x,y)]
>

I'm not seeing the connection between those functions and the  
data.table call. (Running that code produces an error on my machine.)  
If the goal is to have an expression result then just create it with  
expression(). In the example:

> flist <- expression( list(mean.z = mean(z), sd.z = sd(z)) )
> dat[ , eval(flist), list(x)]
    x      mean.z     sd.z
1: 2  0.04436034 1.039615
2: 3 -0.06354504 1.077686
3: 1 -0.08879671 1.066916

-- 
David.

> A.K.
>
>
>
> ----- Original Message -----
> From: Elliot Joel Bernstein <elliot.bernstein at fdopartners.com>
> To: r-help at r-project.org
> Cc:
> Sent: Tuesday, August 7, 2012 5:36 PM
> Subject: [R] Repeated Aggregation with data.table
>
> I have been using ddply to do aggregation, and I frequently define a
> single aggregation function that I use to aggregate over different
> groups. For example,
>
> require(plyr)
>
> dat <- data.frame(x = sample(3, 100, replace=TRUE), y = sample(3, 100,
> replace = TRUE), z = rnorm(100))
>
> f <- function(x) { data.frame(mean.z = mean(x$z), sd.z = sd(x$z)) }
>
> ddply(dat, "x", f)
> ddply(dat, "y", f)
> ddply(dat, c("x", "y"), f)
>
> I recently discovered the data.table package, which dramatically
> speeds up the aggregation:
>
> require(data.table)
> dat <- data.table(dat)
>
> dat[, list(mean.z = mean(z), sd.z = sd(z)), list(x)]
> dat[, list(mean.z = mean(z), sd.z = sd(z)), list(y)]
> dat[, list(mean.z = mean(z), sd.z = sd(z)), list(x,y)]
>
> But I can't figure out how to save the aggregation function
> "list(mean.z = mean(z), sd.z = sd(z))" as a variable that I can reuse,
> similar to the function "f" above. Can someone please explain how to
> do that?
>
> Thanks.
>
> - Elliot
>
> -- 
> Elliot Joel Bernstein, Ph.D. | Research Associate | FDO Partners, LLC
> 134 Mount Auburn Street | Cambridge, MA | 02138
> Phone: (617) 503-4619 | Email: elliot.bernstein at fdopartners.com
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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
> 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.

David Winsemius, MD
Alameda, CA, USA