reshape.long: Reshape from Wide to Long Format
In DeducerReshape: Converts data frames from wide to long and long to wide formats

Description Usage Arguments Details Value

Reshape data frames from wide to long format.

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reshape.long <- function(data, varying.list, idvar = "id",
	ids = rownames(data), within.name = "time",
	within.levels = c("colnames","integers","letters"), drop=NULL)

`data`	A data frame in wide format.
`varying.list`	A named list of character vectors. Each vector of this list will contain the names of the variables in `data` that correspond to a single variable in the long format, and the name of the vector will be the name of that new variable.
`idvar`	Name of the variable in `data` that identifies each individual, or if that variable does not exist, the name of a newly created variable that will contain that information in long format (assuming that each row of `data` is a different individual).
`ids`	Values to use for a newly created `idvar` variable in long format.
`within.name`	Character string with the name of the within-subjects factor, that will be created in long format for differentiating multiple records from the same individual.
`within.levels`	What will be the levels of the within-subjects factor (see Details).
`drop`	Variables of `data` that will be dropped in long format.

This is a wrapper of stats::reshape with direction="long". It admits duplicated values in idvar, and the default values of ids and times are different. The argument times of reshape is defined according to the value of within.levels: "colnames" means that times will be the names of the first set of variables defined in varying.list; for "integers", they will be a sequence of integers (as the default value in reshape); for "letters" they will be an alphabetical list starting from "a" (limited to 26 levels).