Question

I’m trying to remove all the rows from my data frame in which the 3rd column is NA:

new.frame <- data[(!is.na(data$z)),]

But I’m getting an error.

Warning message:
In is.na(data$z) : is.na() applied to non-(list or vector) of type 'NULL'

How can I accomplish this?

Answer 1

Reproducible examples, please. Here is one that works:

R> set.seed(42)
R> DF <- data.frame(a=rnorm(10), b=sample(LETTERS, 10, replace=TRUE), 
+>                  z=cumsum(runif(10)))
R> DF[c(2,4,6),"z"] = NA
R> DF
            a b        z
1   1.3709584 X 0.737596
2  -0.5646982 D       NA
3   0.3631284 Z 1.936759
4   0.6328626 Y       NA
5   0.4042683 C 2.625877
6  -0.1061245 N       NA
7   1.5115220 K 3.466127
8  -0.0946590 X 3.673786
9   2.0184237 L 4.580388
10 -0.0627141 V 5.192166
R> new.frame <- DF[(!is.na(DF$z)),]
R> new.frame
            a b        z
1   1.3709584 X 0.737596
3   0.3631284 Z 1.936759
5   0.4042683 C 2.625877
7   1.5115220 K 3.466127
8  -0.0946590 X 3.673786
9   2.0184237 L 4.580388
10 -0.0627141 V 5.192166
R>