You can change ex <- data.frame("gIN" = gIN, "bc1" = bc1, "bc2"=bc2,
"group" = group)
to
ex <- data.frame("gIN" = c(gIN,gIN), "bcX" = c(bc1,bc2), "group" =
c(group,group))
On Wed, Jun 3, 2015 at 2:27 PM, hedelhusk [via R] <
ml-node+s789695n4708145...@n4.nabble.com> wrote:
> Hello,
>
> I would like to ask for some advice in reformatting a data frame such as
> the following one:
>
>
> gIN <- c("A_1","A_2","A_3","A_4","B_1","B_2")
> bc1 <- c(1219.79, 1486.84, 1255.80, 941.87, 588.19, 304.02)
> bc2 <- c(319.79, 186.84, 125.80, 94.87, 1008.19, 314.02)
> group <- c("A","A","A","A","B","B")
>
> ex <- data.frame("gIN" = gIN, "bc1" = bc1, "bc2"=bc2, "group" = group)
>
> > ex
> gIN bc1 bc2 group
> 1 A_1 1219.79 319.79 A
> 2 A_2 1486.84 186.84 A
> 3 A_3 1255.80 125.80 A
> 4 A_4 941.87 94.87 A
> 5 B_1 588.19 1008.19 B
> 6 B_2 304.02 314.02 B
>
> I would like to reshape this data frame where all the columns that have
> bc1, bc2,...etc are merged into a single column (call it bcX or something)
> and the other variables are kept apart, the example solution follows:
>
>
> > ex_reshaped
> gIN bcX group
> 1 A_1 1219.79 A
> 2 A_2 1486.84 A
> 3 A_3 1255.80 A
> 4 A_4 941.87 A
> 5 B_1 588.19 B
> 6 B_2 304.02 B
> 7 A_1 319.79 A
> 8 A_2 186.84 A
> 9 A_3 125.80 A
> 10 A_4 94.87 A
> 11 B_1 1008.19 B
> 12 B_2 314.02 B
>
> Does anyone know of a package, and/or command to accomplish this?
>
> Thank you
>
> [[alternative HTML version deleted]]
>
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