That's my data:
> head(data)
id C1 C2 C3 B1 B2 B3 Name
12 3 12 8 1 3 12 Agar
14 4 11 9 5 12 14 LB
18 7 17 6 7 14 16 YEF
20 9 15 4 3 11 17 KAN
so I used a melt function from reshape2 package to reorganize my data. Now it looks like that:
dt <- melt(data, measure.vars=2:7)
> head(dt)
n v variable value rt
1 id Name p C1 1
2 12 Agar p 3 2
3 14 LB p 4 3
4 18 YEF p 7 6
5 20 KAN p 9 3
6 id Name u C2 1
I did some calculations on my data and now there is an extra column. Let's call it "rt". I'd like to transform my data now to the previous "state" with this an extra column. Do you know any function which would be useful ?
dput(dt)
structure(list(n = structure(c(5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L,
3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L,
4L, 5L, 1L, 2L, 3L, 4L), class = "factor", .Label = c("12", "14",
"18", "20", "id")), v = structure(c(4L, 1L, 3L, 5L, 2L, 4L, 1L,
3L, 5L, 2L, 4L, 1L, 3L, 5L, 2L, 4L, 1L, 3L, 5L, 2L, 4L, 1L, 3L,
5L, 2L, 4L, 1L, 3L, 5L, 2L), class = "factor", .Label = c("Agar",
"KAN", "LB", "Name", "YEF")), variable = structure(c(1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,
4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L), .Label = c("p",
"u", "k", "l", "t", "h"), class = "factor"), value = c("C1",
"3", "4", "7", "9", "C2", "12", "11", "17", "15", "C3", "8",
"9", "6", "4", "B1", "1", "5", "7", "3", "B2", "3", "12", "14",
"11", "B3", "12", "14", "16", "17")), .Names = c("n", "v", "variable",
"value"), row.names = c(NA, -30L), class = "data.frame")