I am trying to melt a data frame and I get this weird error. Any ideas why?
str(zx7)
'data.frame': 519 obs. of 5 variables:
$ calday.new: Date, format: "2011-01-03" "2011-01-04" "2011-01-05" "2011-01-06" ...
$ A20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ B20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ C20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ D20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
zx7.melt <- melt(zx7, id=c("calday.new"))
Error in `[<-.ts`(`*tmp*`, ri, value = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, : only replacement of elements is allowed
I don't konw how did you create your structure, but when I do this , it works for me
zx7 <- data.frame( calday.new=seq(from = as.Date('2011-01-03'),by=1,length.out=519),
A20=ts(rep(0,519)),
B20=ts(rep(0,519)),
C20=ts(rep(0,519)),
D20=ts(rep(0,519)))
I create the same structure as above :
str(zx7)
'data.frame': 519 obs. of 5 variables:
$ calday.new: Date, format: "2011-01-03" "2011-01-04" "2011-01-05" ...
$ A20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ B20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ C20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
$ D20 : Time-Series from 1 to 519: 0 0 0 0 0 0 0 0 0 0 ...
Then I melt :
head(melt(zx7, id=c("calday.new")))
calday.new variable value
1 2011-01-03 A20 0
2 2011-01-04 A20 0
3 2011-01-05 A20 0
4 2011-01-06 A20 0
5 2011-01-07 A20 0
6 2011-01-08 A20 0
The problem is that the old "reshape" package's melt()
function does not know what to do when it encounters an object with the class ts
.
So, you have two obvious options (though perhaps there are more):
unclass
the variables that are currently classed as ts
before you melt()
your data:
zx7b <- zx7 # Make a backup, just in case
library(reshape) # Notice this is "reshape", not "reshape2"
head(melt(zx7b, id=c("calday.new"))) # Doesn't work
# Error in `[<-.ts`(`*tmp*`, ri, value = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, :
# only replacement of elements is allowed
## Unclass the relevant columns from your data.frame
zx7b[sapply(zx7b, is.ts)] <- lapply(zx7b[sapply(zx7b, is.ts)],
unclass)
head(melt(zx7b, id=c("calday.new")))
# calday.new variable value
# 1 2011-01-03 A20 0
# 2 2011-01-04 A20 0
# 3 2011-01-05 A20 0
# 4 2011-01-06 A20 0
# 5 2011-01-07 A20 0
# 6 2011-01-08 A20 0
Upgrade to "reshape2" instead, and no unclassing is required.
library(reshape2) # Notice that this is reshape2!
head(melt(zx7, id=c("calday.new"))) # Melt the original data.frame
# calday.new variable value
# 1 2011-01-03 A20 0
# 2 2011-01-04 A20 0
# 3 2011-01-05 A20 0
# 4 2011-01-06 A20 0
# 5 2011-01-07 A20 0
# 6 2011-01-08 A20 0
I haven't taken the time to do it, but you can check the code for the melt.data.frame
methods for melt()
from each version of the "reshape" packages and see where the differences lie. Install both packages and then type reshape2:::melt.data.frame
and reshape:::melt.data.frame
to see the underlying functions.