I have a data frame in R as: data.frame(A=0.5,B=18,C=0). My goal is to check if the data frame has NA or not. when I run is.na(data.frame(A=0.5,B=18,C=0)), the output gives give me TRUE/FALSE for each of the columns.

         A     B     C
[1,] FALSE FALSE FALSE

Given the fact that my result will have either NA for all columns or numeric values for all columns, is there a way to perform something like is.na() for the data frame and a get an output as a single TRUE or FALSE, instead of column wise TRUE or FALSE?

>Solution :

You could use anyNA like this:

anyNA(data.frame(A=0.5,B=18,C=0))
#> [1] FALSE

^{Created on 2023-02-21 with reprex v2.0.2}