Hi Nicola,
Good to learn that you solved the problem. Shape files are usually a
set of polygons for the named areas. I did some work with the "rgdal"
package a while ago and it wasn't very difficult. There might be
better methods now, so posting to R-SIG-geo is a good idea.
Jim
On Thu, May 16, 2
Hi Jim,
I ended up collaborating with someone, and, on the basis of looking at
your code (we did take it into consideration and talk about it), we
came up with this:
library(stringr)
numextract <- function(string){
str_extract(string, "\\-*\\d+\\,*\\d*")
}
myDataSet$zip<-numextract(myDataSet
Hi Nicola,
Getting the blank rows will be a bit more difficult and I don't see
why they should be in the final data frame, so:
townzip<-read.table(text="waltham, Massachusetts 02451
Columbia, SC 29209
Wheat Ridge , Colorado 80033
Charlottesville, Virginia 22902
Fairbanks, AK 99709
Montpelier, VT
Hello everyone,
I've downloaded Jeffrey Breen's R package "zipcode," which has the
latitude and longitude for all of the US zip codes. So, this is a
data.frame with 43,191 observations. That's one data frame in my
environment.
Then, I have another data.frame with over 100,000 observations that
lo
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