R – Remove all row that only have NA

I have this type of dataset with ID, age and gender and then questions the ID’s have responded in a survey:

> ID gender age Q1 Q2 Q3
  1  male   35  1  1   NA
  2  male   45  NA NA  NA
  3 female  55  NA NA  NA

I want to remove all rows where all Q´s is NA, so in this case the result will be:

> ID gender age Q1 Q2 Q3
  1  male   35  1  1   NA

How can I do so with data.table?

>Solution :

library(tidyverse)

df %>%
  filter(if_any(starts_with("Q"), ~ !is.na(.x)))

# A tibble: 1 × 6
     ID gender   age    Q1    Q2 Q3   
  <dbl> <chr>  <dbl> <dbl> <dbl> <lgl>
1     1 male      35     1     1 NA