Hi Julie, Your task is a bit obscure and I don't have the function "st_intersects", but I'll suggest this:
br_list<-list() # your commands would have only run once for (i in 1:nrow(arrets_buffer)) { br_list[[i]]<- st_intersects(x = batiments, arrets_buffer[i,], sparse = FALSE) } You should get a list with nrow(arrets_buffer) elements, each of which will be the result of your "st_intersects" function. Jim On Wed, Apr 22, 2020 at 6:00 PM Julie Poitevin <ju...@e-poitevin.fr> wrote: > > Hello, > > I want to build a map (bus accessibility map) and for that I need to > > identify some polygons intersections. To do that I have 2 data.frame: > > batiments (that gives buildings in a city) and arrets_buffer (that gives > > bus stops (points) with a buffer around the point). > > > > I want to have a column giving the intersect binary result (TRUE or FALSE) > > in batiments data.frame. I use st_intersects from sf package. > > > > For that I wanted to perform this loop, but it's not a good idea: > > > > for (i in nrow(arrets_buffer)) { > > batiments$in_recharges <- st_intersects(x = batiments, arrets_buffer[i,], > > sparse = FALSE) > > } > > > > each time i is incremented, batiments$in_recharges is removed with new > > values. So at the end I have results for i=nrow(arrets_buffer) only.... > > > > No possibility to add a loop in the loop as the number of lines is quite > > important (the loop will turns a long time..) > > > > Do you have some some idea to help me? > > > > Many thanks for your help > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.