If you just wanted to do a boxplot of one of the subset, you would do
something like:
boxplot(df.s[["A_SEF_Abies alba"]]$age)
If you wanted to do it for all the subset, then something like:
lapply(df.s, function(.sub) boxplot(.sub$age))
On Mon, Jul 16, 2012 at 11:14 AM, burton030 wrote:
> Hi,
Hi,
thanks I think now I understand how it works...
I m using now this code for the first specie in all my transect IDs.
df.s <- split(Baumdaten, list(Baumdaten$transectID, Baumdaten$Baumart), drop
= TRUE)
head(names(df.s), 10)
"A_SEF_Abies alba" "A_LEF_Abies alba" "B_SEF_Abies alba" "B_LEF_Abie
Here is an example of using your data to split it into the subsets and
then computing a summary of each subset. You have to remember that
what is returned from 'split' is a 'list' of 'data.frames' that as the
subsets that you want and then use use 'lapply' to process each of the
subsets in the lis
Hi,
thanks for your reply but this code just gives me a list but no subsets but
I need subsets because I want to do some calculations with these subsets and
want do make some plots etc. Is there a solution for my problem? I ve posted
an example for the first subset...
http://r.789695.n4.nabble.co
http://r.789695.n4.nabble.com/file/n4636585/Baumdaten_aufbereitet.csv
Baumdaten_aufbereitet.csv
Here you have an overview about my data frame...
--
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http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564p4636585.html
Sent from the R help mailing lis
I looks like you want to use the 'split' function which would create a
list of dataframes with the various conditions:
result <- split(Baumdaten, list(Baumdaten$transectID,
Baumdaten$Baumart), drop = TRUE)
On Sun, Jul 15, 2012 at 11:31 AM, burton030 wrote:
> Dear all,
>
> I have a data frame wit
Dear all,
I have a data frame with different variables and I want to build different
subsets out of this data frame using some conditions and I want to use a
loop because there will be a lot of subsets and this would be saving a lot
of time.
I try to give you an overview about my data fra
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