How to transform a nested for-loop operation to a more efficient code in R












-1















I am a dilettante when it comes to R coding. I am trying to run the following code for one of the tasks. My basic purpose is to count the number of attractions within the proximity of 2kms of a specific location, both attractions, and the locations are specified by respective longitude and latitude. The number of records in the main data set is around 29K and while the number of attractions is 28. How can I convert the following code in a better performing R code instead (the current one is really crude and not at all a good practice)



for(i in 1:nrow(mainData)) {
attr_count[i] = 0
loc_coord = c(mainData$longitude[i],mainData$latitude[i])
for(j in 1:nrow(ny_attractions)) {
attr_coord = c(ny_attractions$lon[j],ny_attractions$lat[j])
dist = distVincentySphere(attr_coord,loc_coord)
if(dist <= 2000) {
attr_count[i] = attr_count[i] + 1
}
}
}


[EDIT]: My apologies for not putting it clearly earlier. Here's an example of what I am trying to achieve. I have 2 data sets -



Dataset - 1 (NYC_attractions) (27 records)
enter image description here



Dataset-2 (master data for house listings) (29K records)
enter image description here



Now, I need to add one more column (num_of_attractions) in Dataset-2, representing the number of attractions within 2Kms of the specified listing (i.e. per record in data set-2)



Hope, this explains the problem



Thanks










share|improve this question

























  • It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

    – JRR
    Nov 25 '18 at 8:25











  • Please post sample data to work with. Also post what the expected outcome should look like

    – Wally Ali
    Nov 25 '18 at 8:28
















-1















I am a dilettante when it comes to R coding. I am trying to run the following code for one of the tasks. My basic purpose is to count the number of attractions within the proximity of 2kms of a specific location, both attractions, and the locations are specified by respective longitude and latitude. The number of records in the main data set is around 29K and while the number of attractions is 28. How can I convert the following code in a better performing R code instead (the current one is really crude and not at all a good practice)



for(i in 1:nrow(mainData)) {
attr_count[i] = 0
loc_coord = c(mainData$longitude[i],mainData$latitude[i])
for(j in 1:nrow(ny_attractions)) {
attr_coord = c(ny_attractions$lon[j],ny_attractions$lat[j])
dist = distVincentySphere(attr_coord,loc_coord)
if(dist <= 2000) {
attr_count[i] = attr_count[i] + 1
}
}
}


[EDIT]: My apologies for not putting it clearly earlier. Here's an example of what I am trying to achieve. I have 2 data sets -



Dataset - 1 (NYC_attractions) (27 records)
enter image description here



Dataset-2 (master data for house listings) (29K records)
enter image description here



Now, I need to add one more column (num_of_attractions) in Dataset-2, representing the number of attractions within 2Kms of the specified listing (i.e. per record in data set-2)



Hope, this explains the problem



Thanks










share|improve this question

























  • It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

    – JRR
    Nov 25 '18 at 8:25











  • Please post sample data to work with. Also post what the expected outcome should look like

    – Wally Ali
    Nov 25 '18 at 8:28














-1












-1








-1








I am a dilettante when it comes to R coding. I am trying to run the following code for one of the tasks. My basic purpose is to count the number of attractions within the proximity of 2kms of a specific location, both attractions, and the locations are specified by respective longitude and latitude. The number of records in the main data set is around 29K and while the number of attractions is 28. How can I convert the following code in a better performing R code instead (the current one is really crude and not at all a good practice)



for(i in 1:nrow(mainData)) {
attr_count[i] = 0
loc_coord = c(mainData$longitude[i],mainData$latitude[i])
for(j in 1:nrow(ny_attractions)) {
attr_coord = c(ny_attractions$lon[j],ny_attractions$lat[j])
dist = distVincentySphere(attr_coord,loc_coord)
if(dist <= 2000) {
attr_count[i] = attr_count[i] + 1
}
}
}


[EDIT]: My apologies for not putting it clearly earlier. Here's an example of what I am trying to achieve. I have 2 data sets -



Dataset - 1 (NYC_attractions) (27 records)
enter image description here



Dataset-2 (master data for house listings) (29K records)
enter image description here



Now, I need to add one more column (num_of_attractions) in Dataset-2, representing the number of attractions within 2Kms of the specified listing (i.e. per record in data set-2)



Hope, this explains the problem



Thanks










share|improve this question
















I am a dilettante when it comes to R coding. I am trying to run the following code for one of the tasks. My basic purpose is to count the number of attractions within the proximity of 2kms of a specific location, both attractions, and the locations are specified by respective longitude and latitude. The number of records in the main data set is around 29K and while the number of attractions is 28. How can I convert the following code in a better performing R code instead (the current one is really crude and not at all a good practice)



for(i in 1:nrow(mainData)) {
attr_count[i] = 0
loc_coord = c(mainData$longitude[i],mainData$latitude[i])
for(j in 1:nrow(ny_attractions)) {
attr_coord = c(ny_attractions$lon[j],ny_attractions$lat[j])
dist = distVincentySphere(attr_coord,loc_coord)
if(dist <= 2000) {
attr_count[i] = attr_count[i] + 1
}
}
}


[EDIT]: My apologies for not putting it clearly earlier. Here's an example of what I am trying to achieve. I have 2 data sets -



Dataset - 1 (NYC_attractions) (27 records)
enter image description here



Dataset-2 (master data for house listings) (29K records)
enter image description here



Now, I need to add one more column (num_of_attractions) in Dataset-2, representing the number of attractions within 2Kms of the specified listing (i.e. per record in data set-2)



Hope, this explains the problem



Thanks







r for-loop






share|improve this question















share|improve this question













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share|improve this question








edited Nov 26 '18 at 1:41







Puneet Matai

















asked Nov 25 '18 at 7:58









Puneet MataiPuneet Matai

12




12













  • It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

    – JRR
    Nov 25 '18 at 8:25











  • Please post sample data to work with. Also post what the expected outcome should look like

    – Wally Ali
    Nov 25 '18 at 8:28



















  • It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

    – JRR
    Nov 25 '18 at 8:25











  • Please post sample data to work with. Also post what the expected outcome should look like

    – Wally Ali
    Nov 25 '18 at 8:28

















It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

– JRR
Nov 25 '18 at 8:25





It looks like you are trying to manipulate spatial data. There are a lot of resources to do what you want to do in packages sp, rgeos or sf. Please give us a reproducible example.

– JRR
Nov 25 '18 at 8:25













Please post sample data to work with. Also post what the expected outcome should look like

– Wally Ali
Nov 25 '18 at 8:28





Please post sample data to work with. Also post what the expected outcome should look like

– Wally Ali
Nov 25 '18 at 8:28












1 Answer
1






active

oldest

votes


















0














Hello your question is partly answered here https://stackoverflow.com/a/49860968/3042154. As you use geodetic coordinates (lat/lon) instead of projected coordinates (meters) it can be done in to steps. First roughly select potential neighbours using euclidian distance using given answer then refine the selection by using your distance






share|improve this answer
























  • Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

    – Puneet Matai
    Nov 26 '18 at 1:31













  • Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

    – Billy34
    Nov 26 '18 at 19:52











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














Hello your question is partly answered here https://stackoverflow.com/a/49860968/3042154. As you use geodetic coordinates (lat/lon) instead of projected coordinates (meters) it can be done in to steps. First roughly select potential neighbours using euclidian distance using given answer then refine the selection by using your distance






share|improve this answer
























  • Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

    – Puneet Matai
    Nov 26 '18 at 1:31













  • Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

    – Billy34
    Nov 26 '18 at 19:52
















0














Hello your question is partly answered here https://stackoverflow.com/a/49860968/3042154. As you use geodetic coordinates (lat/lon) instead of projected coordinates (meters) it can be done in to steps. First roughly select potential neighbours using euclidian distance using given answer then refine the selection by using your distance






share|improve this answer
























  • Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

    – Puneet Matai
    Nov 26 '18 at 1:31













  • Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

    – Billy34
    Nov 26 '18 at 19:52














0












0








0







Hello your question is partly answered here https://stackoverflow.com/a/49860968/3042154. As you use geodetic coordinates (lat/lon) instead of projected coordinates (meters) it can be done in to steps. First roughly select potential neighbours using euclidian distance using given answer then refine the selection by using your distance






share|improve this answer













Hello your question is partly answered here https://stackoverflow.com/a/49860968/3042154. As you use geodetic coordinates (lat/lon) instead of projected coordinates (meters) it can be done in to steps. First roughly select potential neighbours using euclidian distance using given answer then refine the selection by using your distance







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 25 '18 at 20:19









Billy34Billy34

22616




22616













  • Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

    – Puneet Matai
    Nov 26 '18 at 1:31













  • Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

    – Billy34
    Nov 26 '18 at 19:52



















  • Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

    – Puneet Matai
    Nov 26 '18 at 1:31













  • Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

    – Billy34
    Nov 26 '18 at 19:52

















Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

– Puneet Matai
Nov 26 '18 at 1:31







Awesome!! Not partially, this answers my question completely. However, I need to still figure out whether it works with longitude and latitude instead of points. Thank you so much for your help. Really appreciate it.

– Puneet Matai
Nov 26 '18 at 1:31















Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

– Billy34
Nov 26 '18 at 19:52





Nice to hear it! If you consider your question answered please mark it so or upvote my answer :-)

– Billy34
Nov 26 '18 at 19:52




















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