I have the following date frame:
dput(exemplo)
structure(list(id = c(1, 2, 3, 4, 5, 6, 7),
grupo = c("A", "A", "A", "B", "B", "B", NA),
fc_pre = c(90, 98, 77, 98, 100, 92, 89),
fc_pos = c(70, 77, 77, 70, 79, 72, 76),
pa_pre = c(130, 140, 160, 160, 120, 120, 150),
pa_pos = c(120, 110, 140, 150, 130, 120, 130)),
.Names = c("id", "grupo", "fc_pre", "fc_pos", "pa_pre", "pa_pos"),
class = c("tbl_df", "tbl", "data.frame"),
row.names = c(NA, -7L))
I put it in long format using the code:
library(reshape2)
longo <- melt(exemplo, id=c("id", "grupo"))
My date frame has been in long format. But, R placed fc_pre to fc_pos to pa_pre and pa_pos in the same vector.
longo
id grupo variable value
1 1 A fc_pre 90
2 2 A fc_pre 98
3 3 A fc_pre 77
4 4 B fc_pre 98
5 5 B fc_pre 100
15 1 A pa_pre 130
16 2 A pa_pre 140
17 3 A pa_pre 160
18 4 B pa_pre 160
19 5 B pa_pre 120
I would like it to look like this:
# A tibble: 14 x 5
id grupo tempo fc pa
<dbl> <chr> <chr> <dbl> <dbl>
1 1 A pre 90 130
2 2 A pre 98 140
3 3 A pre 77 160
4 4 B pre 98 160
5 5 B pre 100 120
6 6 B pre 92 120
8 1 A pos 70 120
9 2 A pos 77 110
10 3 A pos 77 140
11 4 B pos 70 150
12 5 B pos 79 130
Now I have one vector called time, another called fc and another called pa. Can anyone tell me how to restructure my data frame to stay like this?