reshape2 (version 1.0)

melt.data.frame: Melt a data frame...

Description

Melt a data frame Melt a data frame into form suitable for easy casting.

Usage

## S3 method for class 'data.frame':
melt(data, id.vars, measure.vars,
    variable.name="variable", value.name="value", na.rm=FALSE, ...)

Arguments

data
data frame to melt
id.vars
vector of id variables. Can be integer (variable position) or string (variable name)If blank, will use all non-measured variables.
measure.vars
vector of measured variables. Can be integer (variable position) or string (variable name)If blank, will use all non id.vars
variable.name
name of variable used to store measured variable names
value.name
name of variable used to store values
na.rm
Should NA values be removed from the data set? This will convert explicit missings to implicit missings.
...
further arguments passed to or from other methods.

Details

You need to tell melt which of your variables are id variables, and which are measured variables. If you only supply one of id.vars and measure.vars, melt will assume the remainder of the variables in the data set belong to the other. If you supply neither, melt will assume factor and character variables are id variables, and all others are measured.

Examples

Run this code
names(airquality) <- tolower(names(airquality))
melt(airquality, id=c("month", "day"))
names(ChickWeight) <- tolower(names(ChickWeight))
melt(ChickWeight, id=2:4)

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