# [R] how to store estimates results as scalars of a matrix?

Joao Pedro W. de Azevedo jazevedo at provide.com.br
Fri Jun 18 20:45:17 CEST 2004

```Dear R users,

I've written a loop to generate Moran's test (spdep package) on serval
subsamples of a large dataset. See below a short example.

My loop is working fine, however I would like to be able to store the test
results as lines of a matrix, that I would latter be able to export as a
dataset. My problem is that I'm not sure how I could do this using R.

Any help will be much appreciated.

All the very best,

JP

coords2 <- as.matrix(jcdist.data[1:87, 6:7])

col.tri.nb<-tri2nb(coords2)

for(n in c(1,88,175,262,349)) {
f<- n+86
work <- jcdist.data[n:f, 10:12]

res <-moran.test(spNamedVec("res1", work), nb2listw(col.tri.nb,
style="W"))
moran<-res\$estimate[1]
upper<-res\$estimate[1] + (qnorm(0.025, lower.tail=FALSE)
*sqrt(res\$estimate[3]))
lower<-res\$estimate[1] - (qnorm(0.025, lower.tail=FALSE)
*sqrt(res\$estimate[3]))

print(moran)
print(upper)
print(lower)

}

+
+ }
Moran I statistic
0.659114
Moran I statistic
0.7802115
Moran I statistic
0.5380164
Moran I statistic
0.650799
Moran I statistic
0.771808
Moran I statistic
0.5297899
Moran I statistic
0.6513354
Moran I statistic
0.7723458
Moran I statistic
0.5303249
Moran I statistic
0.6614869
Moran I statistic
0.7825066
Moran I statistic
0.5404672
Moran I statistic
0.6429097
Moran I statistic
0.7638195
Moran I statistic
0.5219998

```