See this SO Q&A.
Here's what works in reshape2:
buyer <- c("A", "A", "B", "A", "B", "C")
seller <- c("C", "B", "C", "B", "C", "A")
negotiator <- c("B", "C", "D", "D", "A", "B")
df <- data.frame(buyer, seller, negotiator)
reshape2::melt(df,0)
# variable value
#1 buyer A
#2 buyer A
#3 buyer B
#4 buyer A
#5 buyer B
#6 buyer C
#7 seller C
#8 seller B
#9 seller C
#10 seller B
#11 seller C
#12 seller A
#13 negotiator B
#14 negotiator C
#15 negotiator D
#16 negotiator D
#17 negotiator A
#18 negotiator B
But that's an error in melt.data.table:
Error in melt.data.table(df, 0) :
One or more values in id.vars is invalid.
This is fine, as we can simply set measure.vars = names(df), but IIUC we're aiming for melt.data.table to subsume reshape2::melt.
See this SO Q&A.
Here's what works in
reshape2:But that's an error in
melt.data.table:This is fine, as we can simply set
measure.vars = names(df), but IIUC we're aiming formelt.data.tableto subsumereshape2::melt.