Dear all,
I have the following dataset:
t <- structure(list(pUrb = c(20.160307, 51.965649, 26.009581, 3.141484,
64.296826
), pUrb_class = structure(c(1L, 1L, 1L, 1L, 1L), .Label = c("0",
"1"), class = "factor"), pAgri = c(79.921386, 46.657713,
40.269204, 0, 0.440691), pAgri_class =
7605 145.3686060
0.00 0
...
Thanks in advance,
Carlos Guerra
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Dear all,
I have a table like this:
a <- read.csv("test.csv", header = TRUE, sep = ";")
a
UTM pUrbpUrb_class
1 NF188520,160307 NA
2 NF188651,965649 NA
3 NF189326,009581 NA
4 NF1894 3,1414
Dear all,
I have a table like this:
> a <- read.csv("test.csv", header = TRUE, sep = ";")
> a
UTM pUrbpUrb_class
1 NF188520,160307 NA
2 NF188651,965649 NA
3 NF189326,009581 NA
4 NF1894 3
Robert,
I have Peter's book and I think it can be a very good place to start
from... dispite the discount... :)
If you like spatial analysis you can try to look for Roger Bivand et
al. "Applied Spatial Data Analysis with R", If you are into something
else try the "Use R" collection from S
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