Converting Data Frames into Arrays
as-array.RdThe as.array for data frames
takes all factors in a data frame and uses them
to define the dimensions of the resulting array,
and fills the array with the values of
the remaining numeric variables.
Currently, the data frame must contain all combinations of factor levels.
Arguments
- x
a data frame
- data.name
a character string, giving the name attached to the dimension that corresponds to the numerical variables in the data frame (that is, the
nameattached to the corresponding element of thedimnameslist).- ...
other arguments, ignored.
Examples
BerkeleyAdmissions <- to.data.frame(UCBAdmissions)
BerkeleyAdmissions
#> Gender Dept Admitted Rejected
#> 1 Male A 512 313
#> 2 Female A 89 19
#> 3 Male B 353 207
#> 4 Female B 17 8
#> 5 Male C 120 205
#> 6 Female C 202 391
#> 7 Male D 138 279
#> 8 Female D 131 244
#> 9 Male E 53 138
#> 10 Female E 94 299
#> 11 Male F 22 351
#> 12 Female F 24 317
as.array(BerkeleyAdmissions,data.name="Admit")
#> , , Dept = A
#>
#> Gender
#> Admit Male Female
#> Admitted 512 89
#> Rejected 313 19
#>
#> , , Dept = B
#>
#> Gender
#> Admit Male Female
#> Admitted 353 17
#> Rejected 207 8
#>
#> , , Dept = C
#>
#> Gender
#> Admit Male Female
#> Admitted 120 202
#> Rejected 205 391
#>
#> , , Dept = D
#>
#> Gender
#> Admit Male Female
#> Admitted 138 131
#> Rejected 279 244
#>
#> , , Dept = E
#>
#> Gender
#> Admit Male Female
#> Admitted 53 94
#> Rejected 138 299
#>
#> , , Dept = F
#>
#> Gender
#> Admit Male Female
#> Admitted 22 24
#> Rejected 351 317
#>
try(as.array(BerkeleyAdmissions[-1,],data.name="Admit"))
#> Error : cannot transform 'x' into an array