melt.array: Melt an array.

In hadley/reshape: Flexibly Reshape Data: A Reboot of the Reshape Package

Description

This code is conceptually similar to as.data.frame.table

Usage

## S3 method for class 'array'
melt(
  data,
  varnames = names(dimnames(data)),
  ...,
  na.rm = FALSE,
  as.is = FALSE,
  value.name = "value"
)

## S3 method for class 'table'
melt(
  data,
  varnames = names(dimnames(data)),
  ...,
  na.rm = FALSE,
  as.is = FALSE,
  value.name = "value"
)

## S3 method for class 'matrix'
melt(
  data,
  varnames = names(dimnames(data)),
  ...,
  na.rm = FALSE,
  as.is = FALSE,
  value.name = "value"
)

Arguments

data	array to melt
varnames	variable names to use in molten data.frame
...	further arguments passed to or from other methods.
na.rm	Should NA values be removed from the data set? This will convert explicit missings to implicit missings.
as.is	if FALSE, the default, dimnames will be converted using type.convert. If TRUE, they will be left as strings.
value.name	name of variable used to store values

See Also

cast

Other melt methods: melt.data.frame(), melt.default(), melt.list()

Examples

a <- array(c(1:23, NA), c(2,3,4))
melt(a)
melt(a, na.rm = TRUE)
melt(a, varnames=c("X","Y","Z"))
dimnames(a) <- lapply(dim(a), function(x) LETTERS[1:x])
melt(a)
melt(a, varnames=c("X","Y","Z"))
dimnames(a)[1] <- list(NULL)
melt(a)

hadley/reshape documentation built on March 16, 2021, 9:38 a.m.