Question

let’s say, for example, i have this data:

data <- c(1,2,3,4,5,6,NaN,5,9,NaN,23,9)
attr(data,"dim") <- c(6,2)
data

     [,1] [,2]
[1,]    1  NaN
[2,]    2    5
[3,]    3    9
[4,]    4  NaN
[5,]    5   23
[6,]    6    9

Now i want to remove the rows with the NaN values in it: row 1 and 4.
But i don’t know where these rows are, if it’s a dataset of 100.000+ rows, so i need to find them with a function and remove the complete row.

Can anybody point me in the right direction?

Answer 1

The function complete.cases will tell you where the rows are that you need:

data <- matrix(c(1,2,3,4,5,6,NaN,5,9,NaN,23,9), ncol=2)
data[complete.cases(data), ]

     [,1] [,2]
[1,]    2    5
[2,]    3    9
[3,]    5   23
[4,]    6    9