I'm trying to convert some data from long to wide using the reshape2 package, but I'm getting an error that I haven't been able to resolve. In the example below, I've created some fake data that's similar to my real data. I want to convert each "subj" to a column that contains the sum of all "credits" in that subject for a given "ID" number.
library(reshape2)
# Create fake data and turn it into a data frame
ID = rep(c(100,101,102,103), each=5)
subj = rep(c("CHEM","ENGL","HIST","MATH"), 5)
credits = rep(3, 20)
df = data.frame(ID, subj, credits)
# Convert from long to wide, with the values of "subj" as the new columns
# and the sum of "credits" as the values for each "subj"
df.wide = dcast(df, ID ~ subj, value.var=credits, fun.aggregate=sum)
Here's what I'm trying to get when I run the dcast command:
ID CHEM ENGL HIST MATH
100 6 3 3 3
101 3 6 3 3
[and so on for each value of ID]
Here's the error I actually get when I run the code above:
Error in .subset2(x, i, exact = exact) :
recursive indexing failed at level 2
I get the same error if I remove "fun.aggregate=sum" from the dcast call.
Also, if I create the values for "credits" using the sample() function (instead of rep()), and call dcast (without fun.aggregate=sum), I get the following error:
Error in .subset2(x, i, exact = exact) :
no such index at level 1
I've run what are, as far as I can tell, similar dcast commands before without a problem. I'm guessing I'm going to slap my forehead and shout "doh" when I see the solution, but I'm stuck.
