Re: [R] aggregate function output

You could also try: library(plyr)  newdf <- function(.data, ...) {    eval(substitute(data.frame(...)), .data, parent.frame())  } x1 <- ddply(mtcars,.(cyl,gear), newdf, mgp=t(quantile(mpg)),hp=t(quantile(hp))) #(found in one of the google group discussions) #or library(data.table) dt1 <- data.

Re: [R] aggregate function output

Hi, Try: do.call(data.frame,c(x,check.names=FALSE)) A.K. Hello,   I´m using function aggregate in R 3.0.2.  If I run the instruction x<-aggregate(cbind(mpg,hp)~cyl+gear,data=mtcars,quantile) I get the result the following data.frame:   cyl gear mpg.0% mpg.25% mpg.50% mpg.75%

Re: [R] aggregate function output

Daniel, You can see better what is going on if you look at as.list(x) There you can see that cyl and gear are vectors but mpg and hp are matrices. You can rearrange them using the do.call() function x2 <- do.call(cbind, x) dim(x2) Jean On Fri, Nov 1, 2013 at 7:08 AM, Daniel Fernandes wrote:

[R] aggregate function output

Hello, I´m using function aggregate in R 3.0.2. If I run the instruction x<-aggregate(cbind(mpg,hp)~cyl+gear,data=mtcars,quantile) I get the result the following data.frame: cyl gear mpg.0% mpg.25% mpg.50% mpg.75% mpg.100% hp.0% hp.25% hp.50% hp.75% hp.100% 4 3 21.5 21.5