Creating multiple columns in dplyr

Question

I am reasonably familiar with dplyr, but am stuck in the following issue. I have the following table.

Issue      Rejected Accepted

Issue 1    2        4
Issue 2    3        6
Issue 3    0        1

What I want to do is create a new column(Decision) which will have the accept and reject as the entries. So what I want to do is change it to the following,

Issue   Decision    Quantity

Issue 1 Rejected    2
Issue 1 Accepted    4
Issue 2 Rejected    3
Issue 2 Accepted    6
Issue 3 Rejected    0
Issue 3 Accepted    1

You need the `reshape`. Try something like `reshape2::melt(df, id.vars = "Issue")`. — Psidom, Jun 23 '16 at 21:19

score 1 · Accepted Answer · answered Jun 23 '16 at 21:20

1

library(dplyr)
library(tidyr)
df1 <- gather(df, Issue)
colnames(df1)[2:3] <- c("Decision", "Quantity") 

df1 %>% arrange(Issue)

answered Jun 23 '16 at 21:20

Sumedh

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Thank you so much! – Kulwant Jun 23 '16 at 21:37

Creating multiple columns in dplyr

1 Answers1