Dear all,
I have a
big data frame:
str(data1)
'data.frame': 18272 obs. of 11 variables:
$ tag :
int 100001 100002 100003 100005 100007
100008 100009 100011 100012 100014 ...
$ sp :
Factor w/ 18 levels "acassp","acocar",..: 13 5 7 14 14 18 3
11 13 10 ...
$ gx :
num 20 10 35 68 88 63 123 115 137 136
...
$ gy :
num 30 25 24 1 10 40 45 25 23 45 ...
$ d0 :
int 0 0 0 0 0 0 0 0 0 0 ...
$ d1 :
int 395 395 395 395 395 395 395 395 395
395 ...
$ d2 :
int 751 751 751 751 751 751 751 751 751
751 ...
$ d3 :
int 1515 1515 1515 1515 1515 1515 1515
1515 1515 1515 ...
$ d4 :
int 2562 2562 2562 2562 2562 2562 2562
2562 2562 2562 ...
$ block: int
1 1 1 1 1 1 1 1 1 1 ...
$ treat: Factor w/ 4 levels
"I","M","N","T": 1 1 1 1 1 1 1 1 1 1
...
And I need to
do multiple selections of gx and gy for all the levels of: sp, block, treat,
and when d0!="NA". Then
calculate some spatial functions with the selected gx and gy coordinates, and
save the results with a name according to the selection.
One single
selection could be done and named like that:
acocar1I=subset(data1,(treat=="I"
& data1$block==1 & data1$sp=="acocar" & data1$d0!="NA"))
These are some
of the functions I have to calculate:
acocar1I.spp<-spp(x=acocar1I$gx,
y=acocar1I$gy, window=wA)
acocar1I.dp<-dval(acocar1I.spp,25,2.5,18,20)
And I want
to create a 'results' object to access easily all the results:
acocar1I.res<-alist()
acocar1I.res$data1<-acocar1I
acocar1I.res$spp<-acocar1I.spp
acocar1I.res$dp<-acocar1I.dp
Can I do everything
in a single loop or a single function?
Many
thanks!
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