solved removing persons

Thank you very much in advance!

If you already have a column with the number of NA responses per row, you can divide the value in the column by the number of columns that contain responses to questions. In the following simple example, I use the ncol() function to count the total number of columns and subtract two from that to account for the columns named Person and Count_NA that do not represent questions.
Is that what you need?

DF <- data.frame(Person = c("A", "B", "C"),
                 Q1 = c(1:3),
                 Q2 = c("X", NA, "Z"),
                 Q3 = c(NA, NA, "Yes"),
                 Count_NA = c(1,2,0))
#>   Person Q1   Q2   Q3 Count_NA
#> 1      A  1    X <NA>        1
#> 2      B  2 <NA> <NA>        2
#> 3      C  3    Z  Yes        0
DF$Frac_NA = DF$Count_NA/(ncol(DF) - 2)
#>   Person Q1   Q2   Q3 Count_NA   Frac_NA
#> 1      A  1    X <NA>        1 0.3333333
#> 2      B  2 <NA> <NA>        2 0.6666667
#> 3      C  3    Z  Yes        0 0.0000000

Created on 2022-07-26 by the reprex package (v2.0.1)

1 Like

Thank you so much! That really helped me a lot!!

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