I am trying to use the reshape package for the first time. I have two
waves of a survey, so the id variables include a subject
identification number and a variable denoting the wave of the survey.
I used the following arguments:
library(reshape)
svy.melt <- melt(svy, id=c("id", "WAVE"))
svy.wide <- cast(svy.melt, id ~ WAVE + ...)
and got the following error:
"Error in check_formula(formula, varnames) :
Formula contains variables not in list of known variables"
I check to make sure variable name is right, and it is:
summary(svy$WAVE)
Min. 1st Qu. Median Mean 3rd Qu. Max.
1.00 1.00 1.00 1.47 2.00 2.00
________________________
I use the same code on some fake data with different results:
id <- c(seq(1, 500, 1), seq(1, 500, 1))
x1 <- rnorm(1000)
x2 <- rnorm(1000)
x3 <- rnorm(1000)
x4 <- rnorm(1000)
x5 <- rnorm(1000)
x6 <- rnorm(1000)
x7 <- rnorm(1000)
x8 <- rnorm(1000)
x9 <- rnorm(1000)
x10 <- rnorm(1000)
wave <- c(replicate(500, 1), replicate(500, 2))
fake <- as.data.frame(cbind(id, x1, x2, x3, x4, x5, x6, x7, x8, x9,
x10, wave))
names(fake) <- c("id", "x1", "x2", "x3", "x4", "x5", "x6", "x7",
"x8", "x9", "x10", "wave")
fake.melt <- melt(fake, id=c("id", "wave"))
fake.wide <- cast(fake.melt, id ~ wave + ...)
This works quite nicely, and the resulting dataset looks like it should.
Theories?
Thanks!
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