r - Ignoring NAs in a dataframe when finding unique rows -

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i have dataframe 20 columns , 200 rows, , find unique rows. problem every row has few nas mixed in: missing data , nas treated "wildcard", not used match other nas.

the following 2 rows should recognized match (ie non-unique)

t, s, na, z na, s, g, z

i've tried incomparables argument unique function, doesn't seem implemented. lot.

put in double loop:

all(na.omit(x[1,] == x[2,]))

replacing 1 , 2 , j cycle through comparisons need check.


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