Displaying 1 result from an estimated 1 matches for "3.34375".
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3.3375
2004 Nov 09
3
remove missing values from matrix or data frame
Is there any way besides looping to remove complete rows from a matrix
or data frame where there is at least one NA in any of the columns?
For example
> a
[,1] [,2]
[1,] 0 2.6875
[2,] 8.366667 6.625
[3,] 15.6 4.375
[4,] 23.4 6.25
[5,] 29 5.09375
[6,] 18 NA
[7,] 0 4.15625
[8,] 9.366667 6.25
[9,] 14.73333 5.875
[10,]