How to negate %in%
Hi All, Everyone's suggestions work. There are lots of roads to solutions in R. This is wonderful! It seems that Dan's and Pedro's solutions work faster for my largish 1,897 spatial polygon data frame. Thanks, Jim Burke All replies are below. ================================================= Hi This (!) might work: aa <- 1:10 bb <- 5:6 aa[!aa %in% bb] ## Yes it works [1] 1 2 3 4 7 8 9 10 aa[aa %in% bb] [1] 5 6 Best wishes Torleif Markussen =================================================== smaller_sp <- large_sp [!(large_sp$ID %in% smaller_df$ID),] Dan Pulter ==================================================== smaller_sp <- large_sp [large_sp$ID %in% smaller_df$ID == FALSE,] Pedro Mardones
Torleif Markussen Lunde wrote:
Hi This (!) might work: aa <- 1:10 bb <- 5:6 aa[!aa %in% bb] [1] 1 2 3 4 7 8 9 10 aa[aa %in% bb] [1] 5 6 Best wishes Torleif On Monday 25 May 2009 08:13:40 pm Jim Burke wrote:
I can subset a "SpatialPolygonsDataFrame" from a data frame containing a smaller subset of IDs. For example below. smaller_sp <- large_sp [large_sp$ID %in% smaller_df$ID,] Given the above how can I do the logically opposite from the %in% operation and get all those IDs not %in%? I am processing two different sets of polygons (A,B) in a loop. Operation is seeing in center points in polys B fall in A. I would like to remove the spatial polygons that I found (B) as I traverse the geographical area. Thanks, Jim Burke
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