deidentify and duplicate data

Apart from the link that rensa posted, this is also extremely helpful to understand what a reprex is:

Now, I'm not sure, but are you looking for something like this?

dataset <- data.frame(Student.ID = c("@11111111", "@11111111", "@11111111", "@2222222", "@3333333"),
                      Course = c("MAT137", "MAT167", "MAT186", "MAT137", "MAT137"),
                      Grade = c("A", "C+", "B", "C", "A-"))

dataset <- within(data = dataset,
                  expr = {
                    Student.ID <- as.integer(x = Student.ID)
                  })

dataset
#>   Student.ID Course Grade
#> 1          1 MAT137     A
#> 2          1 MAT167    C+
#> 3          1 MAT186     B
#> 4          2 MAT137     C
#> 5          3 MAT137    A-

Created on 2019-03-02 by the reprex package (v0.2.1)

PS: I found the deidentifyr :package:, but not the deindentify function. Perhaps, you typed the n by mistake?

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