Spread function selecting specific rows

[sirox84]

Hi all,

I would like to know if it will be possible to spread my dataframe specifying rows for a specific column.
Every 3 rows i would like to spread my dataframe for all my columns and append a spread of the next 3 rows.

An example could be:
name of database: MODEL

ID              A      B      C
ESF_Beta        1      4      9
ESF_Gamma       5      5      5 
ESF_Alfa        7      9      1
GIN_Beta        3      2      8
GIN_Gamma       4      8      3
GIN_Alfa        2      1      7

Results dataframe:

ID    A_Beta A_Gamma A_Alfa B_Beta B_Gamma B_Alfa C_Beta C_Gamma C_Alfa
ESF     1       5       7      4      5      9      9       5        1
GIN     3       4       2      2      8      1      8       3        7

Thanks a lot

[FJCC]

Try the pivot_wider() function from the tidyr package.

DF <- read.csv("~/R/Play/Dummy.csv")
DF
#>          ID A B C
#> 1  ESF_Beta 1 4 9
#> 2 ESF_Gamma 5 5 5
#> 3  ESF_Alfa 7 9 1
#> 4  GIN_Beta 3 2 8
#> 5 GIN_Gamma 4 8 3
#> 6  GIN_Alfa 2 1 7
library(tidyr)
DF <- DF %>% separate(ID,into = c("ID","Label"))
DF
#>    ID Label A B C
#> 1 ESF  Beta 1 4 9
#> 2 ESF Gamma 5 5 5
#> 3 ESF  Alfa 7 9 1
#> 4 GIN  Beta 3 2 8
#> 5 GIN Gamma 4 8 3
#> 6 GIN  Alfa 2 1 7
pivot_wider(DF,names_from = Label,values_from = c("A","B","C"))
#> # A tibble: 2 x 10
#>   ID    A_Beta A_Gamma A_Alfa B_Beta B_Gamma B_Alfa C_Beta C_Gamma C_Alfa
#>   <chr>  <int>   <int>  <int>  <int>   <int>  <int>  <int>   <int>  <int>
#> 1 ESF        1       5      7      4       5      9      9       5      1
#> 2 GIN        3       4      2      2       8      1      8       3      7

^{Created on 2020-10-24 by the reprex package (v0.3.0)}

[sirox84]

@FJCC

pivot_wider(DF,names_from = Label,values_from = c("A","B","C"))

Thanks man,

Exactly it is what I was looking for.
Perfect solution with pivot_wider.

Thank you very much.