sounds great. there are often times I'd like to use reshape on data frames
of hundreds of thousands or millions of rows, but I have found that it is
just too slow at this point to be convenient.
thanks again for everything,
Mike
hadley wrote:
>
> On Thu, Jul 31, 2008 at 4:59 AM, Michael Frum
On Thu, Jul 31, 2008 at 4:59 AM, Michael Frumin <[EMAIL PROTECTED]> wrote:
> thanks, that workaround, well, works!
>
> what are you working on with the rewrite? just efficiency? or major
> changes in functionality/interface?
I've come up with a strategy that makes reshape _much_ faster - 10-20x
thanks, that workaround, well, works!
what are you working on with the rewrite? just efficiency? or major
changes in functionality/interface?
thanks,
mike
On Wed, Jul 30, 2008 at 7:10 PM, hadley wickham <[EMAIL PROTECTED]> wrote:
> On Wed, Jul 30, 2008 at 12:41 PM, mfrumin <[EMAIL PROTECTED]>
On Wed, Jul 30, 2008 at 12:41 PM, mfrumin <[EMAIL PROTECTED]> wrote:
>
> I want the column that is never going to actually have the '(all)' level to
> not become of type factor. continuing the example:
>
> chick_m$diet = as.integer(as.character(chick_m$diet))
> is.factor(chick_m$diet) #returns FAL
I want the column that is never going to actually have the '(all)' level to
not become of type factor. continuing the example:
chick_m$diet = as.integer(as.character(chick_m$diet))
is.factor(chick_m$diet) #returns FALSE
is.factor(cast(subset(chick_m, time == 0), diet + chick ~ time, mean,
margin
On Wed, Jul 30, 2008 at 11:47 AM, mfrumin <[EMAIL PROTECTED]> wrote:
>
> according to the documentation of the cast function in the reshape function,
> I would expect this bit of code from the examples to calculate marginal
> means over only the 'diet' variable.
>
> #Chick weight example
> names(Ch
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