Suppose you have a wide dataset, where someone is asked to rate various product on the same attributes.
id represents a given individual
X1 represents the various products the person is asked to rate.
eq_ and rate_ represent the various attributes they are asked to rate by. For example, eq_1 is one attribute, rate_2 is a different one, and so on.
id X1.eq_1 X1.eq_2 X2.eq_1 X2.eq_2 X3.eq_1 X3.eq_2 X1.rate_1 X1.rate_2 X2.rate_1 X2.rate_2 X3.rate_1 X3.rate_2
1 1 2 5 2 1 2 1 5 2 1 2 2 3
2 2 1 1 2 3 3 3 1 4 4 1 3 3
3 3 5 3 2 2 5 3 3 5 1 1 2 5
4 4 3 2 4 4 3 1 3 5 5 1 2 5
5 5 2 3 1 5 4 3 5 5 1 5 2 4
6 6 3 5 4 5 1 4 4 5 4 4 3 5
7 7 5 5 4 1 5 1 2 4 5 3 2 2
8 8 4 4 2 4 1 2 4 4 5 4 3 4
9 9 4 5 3 1 2 1 4 4 3 5 4 4
10 10 5 4 1 4 1 4 1 3 5 2 1 3
Ultimately I'd like to end up with something like this -- note I blanked out the data because I'm not confident I can get the results to look right.
id product eq_1 eq_2 rate_1 rate_2
1 1 (data) (data) (data) (data)
2 1 (data) (data) (data) (data)
3 1 (data) (data) (data) (data)
4 1 (data) (data) (data) (data)
5 1 (data) (data) (data) (data)
6 1 (data) (data) (data) (data)
7 1 (data) (data) (data) (data)
8 1 (data) (data) (data) (data)
9 1 (data) (data) (data) (data)
10 1 (data) (data) (data) (data)
1 2 (data) (data) (data) (data)
2 2 (data) (data) (data) (data)
3 2 (data) (data) (data) (data)
4 2 (data) (data) (data) (data)
5 2 (data) (data) (data) (data)
6 2 (data) (data) (data) (data)
7 2 (data) (data) (data) (data)
8 2 (data) (data) (data) (data)
9 2 (data) (data) (data) (data)
10 2 (data) (data) (data) (data)
Here is the dput of the data:
structure(list(id = 1:10, X1.eq_1 = c(2L, 1L, 5L, 3L, 2L, 3L,
5L, 4L, 4L, 5L), X1.eq_2 = c(5L, 1L, 3L, 2L, 3L, 5L, 5L, 4L,
5L, 4L), X2.eq_1 = c(2L, 2L, 2L, 4L, 1L, 4L, 4L, 2L, 3L, 1L),
X2.eq_2 = c(1L, 3L, 2L, 4L, 5L, 5L, 1L, 4L, 1L, 4L), X3.eq_1 = c(2L,
3L, 5L, 3L, 4L, 1L, 5L, 1L, 2L, 1L), X3.eq_2 = c(1L, 3L,
3L, 1L, 3L, 4L, 1L, 2L, 1L, 4L), X1.rate_1 = c(5L, 1L, 3L,
3L, 5L, 4L, 2L, 4L, 4L, 1L), X1.rate_2 = c(2L, 4L, 5L, 5L,
5L, 5L, 4L, 4L, 4L, 3L), X2.rate_1 = c(1L, 4L, 1L, 5L, 1L,
4L, 5L, 5L, 3L, 5L), X2.rate_2 = c(2L, 1L, 1L, 1L, 5L, 4L,
3L, 4L, 5L, 2L), X3.rate_1 = c(2L, 3L, 2L, 2L, 2L, 3L, 2L,
3L, 4L, 1L), X3.rate_2 = c(3L, 3L, 5L, 5L, 4L, 5L, 2L, 4L,
4L, 3L)), .Names = c("id", "X1.eq_1", "X1.eq_2", "X2.eq_1",
"X2.eq_2", "X3.eq_1", "X3.eq_2", "X1.rate_1", "X1.rate_2", "X2.rate_1",
"X2.rate_2", "X3.rate_1", "X3.rate_2"), class = "data.frame", row.names = c(NA,
-10L))
EDIT: this isn't answered by any of the potential duplicates, because all of the duplicates are using hard-coding for the variable names. There must be a way to automate this? My dataset has over 100 variables, so there's no way I can hard code all of that.
