Fantastic. Thanks very much! Is there an easy way to plot the points and
the 4 areas?
Best,
Ioanna
-----Original Message-----
From: David Carlson [mailto:dcarlson at tamu.edu]
Sent: 25 November 2013 15:21
To: 'IOANNA'; r-help at r-project.org
Subject: RE: [R] Aggregating spatial data
Something like this?
s <- expand.grid(x=seq(1,100,by=1),y=seq(1,100,by=1))
w <-
EW NS z1.1 z1.2 z1.3 z1.4
1 West South 2600 2600 2400 2400
2 East South 2400 2400 2600 2600
3 West North 2600 2600 2400 2400
4 East North 2400 2400 2600 2600
table(w$z1)
1 2 3 4
10000 10000 10000 10000
aggregate(z2~EW+NS, w, mean)
EW NS z2
1 West South 2475.5
2 East South 2525.5
3 West North 7475.5
4 East North 7525.5
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of IOANNA
Sent: Monday, November 25, 2013 8:46 AM
To: r-help at r-project.org
Subject: [R] Aggregating spatial data
Importance: High
Hello all,
I have a data frame in the form:
s<-expand.grid(x=seq(1,100,by=1),y=seq(1,100,by=1))
w<-data.frame(x=s$x,y=s$y,z1=rep(c(1,2,3,4),times=length(s$x/4))
,z2=seq(1,le
ngth(s$x),by=1))
The w$x and w$y represent the location of points and z1 and z2 attributes
corresponding to these points.
My question is how to divide this area in 4 sub-areas of equal points each
and produce the counts of z1= '1', '2' , '3' in each quarter as well as mean
values of z2 for each quarter.
Best,
Ioanna
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