duplicate data - R, find duplicated rows , regardless of order -


i've been thinking problem whole night: here matrix:

'a' '#' 3 '#' 'a' 3  0  'i am' 2 'i am' 0 2

.....

i want treat rows first 2 rows same, because it's different order of 'a' , '#'. in case, want delete such kind of rows. toy example simple, first 2 same, third , forth same. in data set, don't know 'same' row.

i'm writing in r. thanks.

perhaps work you. not clear desired output though.

x <- structure(c("a", "#", "0", "i am", "#", "a", "i am", "0", "3",                   "3", "2", "2"), .dim = c(4l, 3l)) x #      [,1]   [,2]   [,3] # [1,] "a"    "#"    "3"  # [2,] "#"    "a"    "3"  # [3,] "0"    "i am" "2"  # [4,] "i am" "0"    "2"    duplicated(   lapply(1:nrow(x), function(y){     <- x[y, ]     a[order(a)]   })) # [1] false  true false  true

this splits matrix row, sorts each row. duplicated works on lists too, wrap whole thing `duplicated find items (rows) duplicated.


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