a simple reshape

________________________________________
From: Rui Barradas [ruipbarradas at sapo.pt]
Sent: Friday, April 3, 2020 12:08 PM
To: Yuan Chun Ding; r-help mailing list
Subject: Re: [R] a simple reshape

Hello,

It's a bit more complicated than you have coded it.
I will use pivot_wider, it's now the natural way of doing it.


test1 %>%
    group_by(vntr1) %>%
    mutate(group = row_number()) %>%
    ungroup() %>%
    pivot_wider(
      id_cols ="vntr1",
      names_from = "group",
      names_prefix = "a",
      values_from = "val"
    )


Hope this helps,

Rui Barradas

?s 19:57 de 03/04/20, Yuan Chun Ding escreveu:
Hi R users,

I want to do a data reshape from long to wide, I thought it was easy using tidyverse spread function, but it did not work well. Can you help me?

Thank you,

Ding

test1 data frame is long file and test2 is the wide file I want to get

test1 <- data.frame (vntr1=c("v1","v1", "v2","v2","v2","v2"),
                       val =c(0.98,0.02, 0.59,0.12,0.11,0.04))

test2  <- data.frame(vntr1=c("v1","v2"),
                       a1 =c(0.98, 0.5693),
                       a2 = c(0.02, 0.12),
                       a3 =c(NA, 0.11),
                       a4=c(NA, 0.04))

the following code does not work
test2 <-test1 %>%spread(vntr1, val)

   Error: Each row of output must be identified by a unique combination of keys.
Keys are shared for 6 rows:
* 1, 2
* 3, 4, 5, 6
Do you need to create unique ID with tibble::rowid_to_column()?
Call `rlang::last_error()` to see a backtrace

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