Loop over a data.table rows with condition

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No loops are required, just use data.table as intended. If all you want to see are the rows that within 50 meters from the desired location, all you have to do is

locations[, if (gdist(-159.58, 21.901, location_lon, location_lat, units="m") <= 50) .SD, id]
##    id location_lon location_lat
## 1: 11      -159.58       21.901

Here we are iterating by the id column within the locations data set itself and checking if each id is within 50 meters from -159.58, 21.901. If so, we are calling .SD which is basically the data set itself for that specific id.


As a side note, data.table doesn't have row.names, so there is no need of specifiying them, see here, for example

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KeshetE
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KeshetE

Updated on June 04, 2022

Comments

  • KeshetE
    KeshetE almost 2 years

    I have a data.table that holds ids and locations. for example, here is it with one row in it: (it has col and row names, don't know if it matters)

    locations<-data.table(c(11,12),c(-159.58,0.2),c(21.901,22.221))
    colnames(locations)<-c("id","location_lon","location_lat")
    rownames(locations)<-c("1","2")
    

    I then want to iterate over the rows and compare them to another point (with lat,lon). In a for loop it works:

    for (i in 1:nrow(locations)) {
        loc <- locations[i,]
        dist <- gdist(-159.5801, 21.901, loc$location_lon, loc$location_lat, units="m")
        if(dist <= 50) {
            return (loc)
        }
        return (NULL)
    }
    

    and returns:

    id location_lon location_lat

    1: 11 -159.58 21.901

    but I want to use apply. The following code fails to run:

    dists <- apply(locations,1,function(x) if (50 - gdist(-159.5801, 21.901, x$location_lon, x$location_lat, units="m")>=0) x else NULL)
    

    with $ operator is invalid for atomic vectors error. Changing to reference by location (x[2],x[3]) isn't enough to fix this, I get

    Error in if (radius - gdist(lon, lat, x[2], x[3], units = "m") >= 0) x else NULL : 
    missing value where TRUE/FALSE needed 
    

    This is because the data.table is converted to matrix, and the coordinates are treated as text instead of numbers. Is there a way to overcome this? The solution needs to be efficient (I want to run this check for >1,000,000 different coordinates). Changing the data structure of the locations table is possible if needed.

  • David Arenburg
    David Arenburg over 9 years
    NP, I really advise you to read some data.table documentation, as it seems like you are not using it as intended. There are many good answers on SO on the data.table tag posted by @Arun that you can learn alot from