This is a really unusual thing to do.
No, it’s worse than unusual. It’s probably just bad. Matrices and arrays are useful, appropriate and very fast if all of the data is of a single class. If you have mixed classes, then work with data frames instead.
But here you go. In the first example all of your data is converted to character
, in the second to numeric
.
x <- as.array(as.matrix(iris))
head(x)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
[1,] "5.1" "3.5" "1.4" "0.2" "setosa"
[2,] "4.9" "3.0" "1.4" "0.2" "setosa"
[3,] "4.7" "3.2" "1.3" "0.2" "setosa"
[4,] "4.6" "3.1" "1.5" "0.2" "setosa"
[5,] "5.0" "3.6" "1.4" "0.2" "setosa"
[6,] "5.4" "3.9" "1.7" "0.4" "setosa"
Or…
x <- array(unlist(iris), dim=c(150, 5), dimnames=list(NULL, names(iris)))
head(x)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
[1,] 5.1 3.5 1.4 0.2 1
[2,] 4.9 3.0 1.4 0.2 1
[3,] 4.7 3.2 1.3 0.2 1
[4,] 4.6 3.1 1.5 0.2 1
[5,] 5.0 3.6 1.4 0.2 1
[6,] 5.4 3.9 1.7 0.4 1
1
solved Change data.frame into array [closed]