Is it possible to create two rows using the name of the columns? I need to separate DX from SX and create new rows, after the separation I like to maintain the information DX or SX by adding a column. Some columns it is in common, in this case X. Instead, Num is the key
a = read.table(text="
Num X STDX ABDX XBDX STSX ABSX XBSX
12 3 9 5 3 11 3 7
13 35 24 1 7 18 2 8
14 35 24 1 7 18 2 8
15 10 1 5 16 -10 5 3 ",h=T)
b= read.table(text="Num X ST AB XB DX/SX
12 3 9 5 3 DX
12 3 11 3 7 SX
13 35 24 1 7 DX
13 35 18 2 8 SX
14 35 24 1 7 DX
14 35 18 2 8 SX
15 10 1 5 16 DX
15 10 -10 5 3 SX",h=T)
My idea was separate the data and after join, but it is heavy. I have tried this code:
c <- sapply(c("DX", "SX",""),
function(x) a[endsWith(names(a),x)],
simplify = FALSE)
But the problem is x and Num, because I would like to have in the same DB with DX and SX.
There are more elegant and compact approaches for sure, but here's an example how you could achieve this by simple renaming and row binding:
a = read.table(text="
Num X STDX ABDX XBDX STSX ABSX XBSX
12 3 9 5 3 11 3 7
13 35 24 1 7 18 2 8
14 35 24 1 7 18 2 8
15 10 1 5 16 -10 5 3 ",h=T)
library(dplyr)
library(stringr)
dx <- a %>%
select(1,2,ends_with("DX")) %>%
rename_with(~ str_remove(.x, "DX$"), .cols = -c(1:2)) %>%
mutate(`DX/SX` = "DX" )
dx
#> Num X ST AB XB DX/SX
#> 1 12 3 9 5 3 DX
#> 2 13 35 24 1 7 DX
#> 3 14 35 24 1 7 DX
#> 4 15 10 1 5 16 DX
sx <- a %>%
select(1,2,ends_with("SX")) %>%
rename_with(~ str_remove(.x, "SX$"), .cols = -c(1:2)) %>%
mutate(`DX/SX` = "SX" )
sx
#> Num X ST AB XB DX/SX
#> 1 12 3 11 3 7 SX
#> 2 13 35 18 2 8 SX
#> 3 14 35 18 2 8 SX
#> 4 15 10 -10 5 3 SX
bind_rows(dx,sx) %>%
arrange(Num)
#> Num X ST AB XB DX/SX
#> 1 12 3 9 5 3 DX
#> 2 12 3 11 3 7 SX
#> 3 13 35 24 1 7 DX
#> 4 13 35 18 2 8 SX
#> 5 14 35 24 1 7 DX
#> 6 14 35 18 2 8 SX
#> 7 15 10 1 5 16 DX
#> 8 15 10 -10 5 3 SX
Created on 2022-10-12 with reprex v2.0.2
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