The answer to all your questions is simple. By the time I get a little grasp on things, they become "deprecated" :-). But my programming skills are so low, that I find this normal.
My problem comes from the last two #comment lines : #(if data row names do not match polygon IDs, will reorder, or fail if # any differ or absent The two data row names differ and some are absent, that's why I used "merge" (and posted on this list, not on r-sig-geo :-)). How else can I intersect the two data.frames? Thanks so much for your help! ----- Original Message ---- From: Roger Bivand <[EMAIL PROTECTED]> To: Mihai Nica <[EMAIL PROTECTED]> Cc: r-help@stat.math.ethz.ch Sent: Sunday, October 8, 2006 3:10:16 PM Subject: Re: [R] merge and polylist On Sat, 7 Oct 2006, Mihai Nica wrote: > Greetings: > > I would like to kindly ask for a little help. The rough code is: > Maybe R-sig-geo would be a more relevant list. Comments inline. > #________________________________________________________ > > dat=data.frame(read.delim(file="all.txt", header = TRUE, sep = "\t", > quote="\"", dec=".",na.strings = "NA")) We do not know if dat is in the same order as the shapefile. If dat$cod is malformed wrt. nc$att.data$AREA (very strange choice, in ESRI generated files often the polygon area), you are asking for trouble. > > nc=read.shape("astae.shp", dbf.data=TRUE, verbose=TRUE) > > mappolys=Map2poly(nc) > > submap <- subset(mappolys, nc$att.data$NAME!="Honolulu, HI") > > nc$att.data=subset(nc$att.data, nc$att.data$NAME!="Honolulu, HI") > In situations like this, overwriting the input is not advisable, bercause you destroy your ability to check that the output corresponds to your intentions. > nc$att.data[,1]=as.numeric(paste(nc$att.data$MSACMSA)) > > #attributes(nc$att.data) > > nc$att.data=merge(nc$att.data, dat, by.x="AREA", by.y="cod", all.x=TRUE, > sort=FALSE) Ditto. > > #attributes(nc$att.data) > > tmp=file("tmp") > > write.polylistShape(submap, nc$att.data, "tmp") > Any good reason for not using the sp class framework? The objects you are using here are very low-level and messy. library(maptools) nc_1 <- readShapePoly(system.file("shapes/sids.shp", package="maptools")[1], ID="FIPS") # put shapefile in SpatialPolygonsDataFrame nc_2 <- nc_1[coordinates(nc_1)[,1] < -80,] # subset with "[" method row.names(as(nc_2, "data.frame")) as.character(nc_2$FIPS) tmpfl <- paste(tempfile(), "dbf", sep=".") download.file("http://spatial.nhh.no/misc/nc_xtra.dbf";, tmpfl, mode="wb") nc.df <- read.dbf(tmpfl) # extra data keyed on CNTY_ID nc_2$CNTY_ID nc.df$CNTY_ID nc_df2 <- merge(as(nc_2, "data.frame"), nc.df, by="CNTY_ID", sort=FALSE) all.equal(nc_df2$CNTY_ID, nc_2$CNTY_ID) row.names(nc_df2) <- nc_df2$FIPS # re-instate IDs nc_3 <- SpatialPolygonsDataFrame(as(nc_2, "SpatialPolygons"), data=nc_df2) # (if data row names do not match polygon IDs, will reorder, or fail if # any differ or absent writePolyShape(nc_3, "nc_3") This still isn't as tidy as it could be, but gives much more control than the original old-style classes. Roger > #_________________________________________________________ > > All works fine, but merge() changes the rownames and the link between the > polygons and the corresponding rows is lost. I tried numerous other > solutions (such as to "paste" back the old rownames), to no avail. After a > few days, here I am. Please, if you have a moment, send a tip. > > Thanks, > > mihai > > > -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.