using rbind() on multiple objects at once

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do.call(rbind, list.foo)

Is there an efficient way to use rbind() with the five dataframes described
in the following example:

a <- c(1:5)
list.foo <- lapply(a, function(x) data.frame(beta=a*rnorm(10),
deta=a*rnorm(10)))
big.data.frame <- rbind(list.foo[[1]], list.foo[[2]], list.foo[[3]],
list.foo[[4]], list.foo[[5]]) #is there an easier method?

For example, I naively thought you could do something like

rbind(list.foo[[1:5]]) #gives an error message

but that results in an error message.

Thanks,
Andrew

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Thanks!
 do.call(rbind, list.foo)

On Fri, 18 Apr 2008, Andrew Yee wrote:

Is there an efficient way to use rbind() with the five dataframes
described
in the following example:

a <- c(1:5)
list.foo <- lapply(a, function(x) data.frame(beta=a*rnorm(10),
deta=a*rnorm(10)))
big.data.frame <- rbind(list.foo[[1]], list.foo[[2]], list.foo[[3]],
list.foo[[4]], list.foo[[5]]) #is there an easier method?

For example, I naively thought you could do something like

rbind(list.foo[[1:5]]) #gives an error message

but that results in an error message.

Thanks,
Andrew

	[[alternative HTML version deleted]]

______________________________________________
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.

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