> # Then try one of these:
>
> cast(dfm, year ~ sim)
> cast(dfm, year + sim ~ . )
> cast(dfm, year ~ sim, margins=TRUE)
Oops that should be:
dfm <- rename(df, c(DensPlants = "value"))
cast(dfm, year ~ sim, mean)
cast(dfm, year + sim ~ . , mean)
cast(dfm, year ~ sim, mean, margins=TRUE)
(Thanks
> It contains about 19000 entries and the structure looks like this:
>
> NoPlants sim run year DensPlants
> 16 lng_cs99_renosterbos 140.00192
> .
> .
> .
>
> it has 43 different entries for sim and year goes from 1 to 100, and run
> from 1 to 5.
>
> I would like
Hi David
aggregate is what I was looking for, as I wanted to have it in the
tabular format to plot it.
Thanks
Rainer
David Barron wrote:
> Of course, aggregate will work too, depends on how you want the output
> to be formatted. You could also look at summarize in the Hmisc
> package.
>
> On
Of course, aggregate will work too, depends on how you want the output
to be formatted. You could also look at summarize in the Hmisc
package.
On 20/09/06, David Barron <[EMAIL PROTECTED]> wrote:
> Sorry, that should have been package gdata, not gtools...they're both
> in the same bundle, though.
Sorry, that should have been package gdata, not gtools...they're both
in the same bundle, though.
On 20/09/06, Rainer M Krug <[EMAIL PROTECTED]> wrote:
> Hi
>
> I have a table called npl containing results of simulations.
>
> It contains about 19000 entries and the structure looks like this:
>
>
Have a look at the function aggregate.table in the package gtools
(part of the gregmisc bundle).
On 20/09/06, Rainer M Krug <[EMAIL PROTECTED]> wrote:
> Hi
>
> I have a table called npl containing results of simulations.
>
> It contains about 19000 entries and the structure looks like this:
>
>
Hi
I have a table called npl containing results of simulations.
It contains about 19000 entries and the structure looks like this:
NoPlants sim run year DensPlants
16 lng_cs99_renosterbos 140.00192
.
.
.
it has 43 different entries for sim and year goes fro