'Mean removing NAs inside vectors in R with ! operator
I am stuck with a problem in R. It is about removing NAs within vectors and dataframes.
I am given the library, data frame and the vector as follows:
library(dslabs)
data(na_example)
ind <- is.na(na_example)
So, I need to compute the mean, but with the entries that are not NA inside the vector "ind".
I have tried everything, including the answer (I think) that is: mean(!ind), because I HAVE to use the ! operator.
The result is 0.855. However, the evaluating system does not give me a positive score.
Please, could you give me a hand?
Solution 1:[1]
You're looking for na.omit, not is.na:
library(dslabs)
data(na_example)
ind <- na.omit(na_example)
mean(ind)
Which gives you: 2.301754
Solution 2:[2]
So, I finally got after many hours of struggle.
I was putting the ! in the wrong place
ind <- is.na(na_example)
mean(!ind)
[1] 0.855
It should be:
ind <- !is.na(na_example)
mean(ind)
[1] 0.855
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Matt |
| Solution 2 | benson23 |
