I want to find where two (or more) rows have the same x,y (location) but a different ID.
In the table below I would like to know about the last two rows only.
x | y | id |
---|---|---|
1 | 2 | 1 |
1 | 2 | 1 |
1 | 3 | 4 |
2 | 3 | 1 |
2 | 3 | 2 |
# example data
x <- read.table(text = "x y id
1 2 1
1 2 1
1 3 4
2 3 1
2 3 2", header = TRUE)
CodePudding user response:
Another way, using dplyr
:
x %>%
group_by(x, y) %>%
filter(n_distinct(id) > 1)
# A tibble: 2 x 3
# Groups: x, y [1]
x y id
<int> <int> <int>
1 2 3 1
2 2 3 2
CodePudding user response:
Group by two columns, count the unique values on 3rd column, subset if it is more than 1:
x[ ave(x[, "id"], x[, c("x", "y") ], FUN = function(i) length(unique(i))) > 1, ]
# x y id
# 4 2 3 1
# 5 2 3 2
CodePudding user response:
Using data.table
library(data.table)
i1 <- setDT(x)[, .I[uniqueN(id) > 1], .(x, y)]$V1
x[i1]
x y id
<int> <int> <int>
1: 2 3 1
2: 2 3 2