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
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:
NoPlants
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:
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.
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
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 to
# 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 for
