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 05602
Dobbs Ferry, New York 10522
Henderson , Kentucky 42420",
sep="\t",stringsAsFactors=FALSE)
zip_split<-function(x) {
commasplit<-unlist(strsplit(x,","))
state<-trimws(gsub("[[:digit:]]","",commasplit[2]))
zip<-trimws(gsub("[[:alpha:]]","",commasplit[2]))
return(c(commasplit[1],state,zip))
}
townzipsplit<-as.data.frame(t(sapply(townzip$V1,zip_split)))
rownames(townzipsplit)<-NULL
names(townzipsplit)<-c("town","state","zip")
townzipsplit$latlon<-NA
# I don't know the name of the zipcode column in the "zipcode" data frame
newzipdf<-merge(townzipsplit,zipcodedf,by.x="zip",by.y="zip")
Jim
On Tue, May 14, 2019 at 5:57 AM Nicola Ruggiero
<nicola.ruggiero....@gmail.com> wrote:
>
> 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
> look like this:
>
> waltham, Massachusetts 02451
> Columbia, SC 29209
>
> Wheat Ridge , Colorado 80033
> Charlottesville, Virginia 22902
> Fairbanks, AK 99709
> Montpelier, VT 05602
> Dobbs Ferry, New York 10522
>
> Henderson , Kentucky 42420
>
> The spaces represent absences in the column. Regardless,
> I need to figure out how to write a code that would, presumably, match
> the zipcodes and produce another column to the data frame with the
> latitude and longitude. So, for example, the code would recognize
> 02451 above, and, in the the column next to it, the code would write
> 42.3765° N, 71.2356° W in the column next to it, since that's the
> latitude and longitude for Waltham, Massachusetts.
>
> Any idea of how to begin a code that would perform such an operation?
>
> Again, I have a data.frame with the zipcodes linked to the the
> latitudes and longitudes, on the one hand, and another data.frame with
> only zipcodes (and some holes). I need to produce the corresponding
> latitude/longitudes in the latter data.frame.
>
> Nicola
>
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