Merging data frame based on common variables and minimum distance
I have 2 data sets V =
id A B X
1 a b 10
2 a b 9
3 b c 8
4 b d 17
and W =
ud A B Y
11 a b 11
12 a b 7
13 b c 8
14 b d 21
and I want to merge them. Using dplyrs join functions the code is
merge = V %>% inner_join(W, by = c("A", "B"))
and the result is
id ud A B X Y
1 11 a b 10.0 11.0
1 12 a b 10.0 7.00
2 11 a b 9.00 11.0
2 12 a b 9.00 7.00
3 13 b c 8.00 8.00
4 14 b d 17.0 21.0
Due to the inner join, combinations of the matches were returned. However, I want a (unique) correspondence between the two identifier variables id and ud (here this is not the case because for example 1 is mapped to 11 AND 12).
I want to create this unique correspondence by assigning that id to ud for which d(X,Y) is minimal, using some distance function (e.g. d(x,y) = abs(x-y)).
But how would I do that?
r dplyr
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
add a comment |
I have 2 data sets V =
id A B X
1 a b 10
2 a b 9
3 b c 8
4 b d 17
and W =
ud A B Y
11 a b 11
12 a b 7
13 b c 8
14 b d 21
and I want to merge them. Using dplyrs join functions the code is
merge = V %>% inner_join(W, by = c("A", "B"))
and the result is
id ud A B X Y
1 11 a b 10.0 11.0
1 12 a b 10.0 7.00
2 11 a b 9.00 11.0
2 12 a b 9.00 7.00
3 13 b c 8.00 8.00
4 14 b d 17.0 21.0
Due to the inner join, combinations of the matches were returned. However, I want a (unique) correspondence between the two identifier variables id and ud (here this is not the case because for example 1 is mapped to 11 AND 12).
I want to create this unique correspondence by assigning that id to ud for which d(X,Y) is minimal, using some distance function (e.g. d(x,y) = abs(x-y)).
But how would I do that?
r dplyr
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
add a comment |
I have 2 data sets V =
id A B X
1 a b 10
2 a b 9
3 b c 8
4 b d 17
and W =
ud A B Y
11 a b 11
12 a b 7
13 b c 8
14 b d 21
and I want to merge them. Using dplyrs join functions the code is
merge = V %>% inner_join(W, by = c("A", "B"))
and the result is
id ud A B X Y
1 11 a b 10.0 11.0
1 12 a b 10.0 7.00
2 11 a b 9.00 11.0
2 12 a b 9.00 7.00
3 13 b c 8.00 8.00
4 14 b d 17.0 21.0
Due to the inner join, combinations of the matches were returned. However, I want a (unique) correspondence between the two identifier variables id and ud (here this is not the case because for example 1 is mapped to 11 AND 12).
I want to create this unique correspondence by assigning that id to ud for which d(X,Y) is minimal, using some distance function (e.g. d(x,y) = abs(x-y)).
But how would I do that?
r dplyr
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
I have 2 data sets V =
id A B X
1 a b 10
2 a b 9
3 b c 8
4 b d 17
and W =
ud A B Y
11 a b 11
12 a b 7
13 b c 8
14 b d 21
and I want to merge them. Using dplyrs join functions the code is
merge = V %>% inner_join(W, by = c("A", "B"))
and the result is
id ud A B X Y
1 11 a b 10.0 11.0
1 12 a b 10.0 7.00
2 11 a b 9.00 11.0
2 12 a b 9.00 7.00
3 13 b c 8.00 8.00
4 14 b d 17.0 21.0
Due to the inner join, combinations of the matches were returned. However, I want a (unique) correspondence between the two identifier variables id and ud (here this is not the case because for example 1 is mapped to 11 AND 12).
I want to create this unique correspondence by assigning that id to ud for which d(X,Y) is minimal, using some distance function (e.g. d(x,y) = abs(x-y)).
But how would I do that?
r dplyr
r dplyr
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
asked Nov 12 '18 at 12:01
Syd AmerikanerSyd Amerikaner
1225
1225
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Something like below?
V %>% inner_join(W, by = c("A", "B")) %>% group_by(id) %>% slice(which.min(abs(X - Y)))
Output:
id A B X ud Y
<int> <chr> <chr> <int> <int> <int>
1 1 a b 10 11 11
2 2 a b 9 11 11
3 3 b c 8 13 8
4 4 b d 17 14 21
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Something like below?
V %>% inner_join(W, by = c("A", "B")) %>% group_by(id) %>% slice(which.min(abs(X - Y)))
Output:
id A B X ud Y
<int> <chr> <chr> <int> <int> <int>
1 1 a b 10 11 11
2 2 a b 9 11 11
3 3 b c 8 13 8
4 4 b d 17 14 21
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
add a comment |
Something like below?
V %>% inner_join(W, by = c("A", "B")) %>% group_by(id) %>% slice(which.min(abs(X - Y)))
Output:
id A B X ud Y
<int> <chr> <chr> <int> <int> <int>
1 1 a b 10 11 11
2 2 a b 9 11 11
3 3 b c 8 13 8
4 4 b d 17 14 21
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
add a comment |
Something like below?
V %>% inner_join(W, by = c("A", "B")) %>% group_by(id) %>% slice(which.min(abs(X - Y)))
Output:
id A B X ud Y
<int> <chr> <chr> <int> <int> <int>
1 1 a b 10 11 11
2 2 a b 9 11 11
3 3 b c 8 13 8
4 4 b d 17 14 21
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
Something like below?
V %>% inner_join(W, by = c("A", "B")) %>% group_by(id) %>% slice(which.min(abs(X - Y)))
Output:
id A B X ud Y
<int> <chr> <chr> <int> <int> <int>
1 1 a b 10 11 11
2 2 a b 9 11 11
3 3 b c 8 13 8
4 4 b d 17 14 21
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
answered Nov 12 '18 at 12:14
arg0nautarg0naut
2,077314
2,077314
add a comment |
add a comment |
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