I found the gather function from the tidyr package, which worked nicely:
gather(ex,bcX,value, bc1:bc2)
gIN group bcX value
1 A_1 A bc1 1219.79
2 A_2 A bc1 1486.84
3 A_3 A bc1 1255.80
4 A_4 A bc1 941.87
5 B_1 B bc1 588.19
6 B_2 B bc1 304.02
7 A_1 A bc2 319.79
8 A_2 A bc2 186.84
9 A_3 A bc2 125.80
10 A_4 A bc2 94.87
11 B_1 B bc2 1008.19
12 B_2 B bc2 314.02
Thanks.
On Wed, Jun 3, 2015 at 5:44 PM, Jon BR <jonsle...@gmail.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
>
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