furniture: long – R documentation

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long

Wide to Long Data Reshaping

Description

long() is a wrapper of stats::reshape() that takes the data from a wide format to a long format. It can also handle unbalanced data (where some measures have different number of "time points").

Usage

long(
  data,
  ...,
  v.names = NULL,
  id = NULL,
  timevar = NULL,
  times = NULL,
  sep = ""
)

Arguments

`data`	the data.frame containing the wide format data
`...`	the variables that are time-varying that are to be placed in long format, needs to be in the format `c("x1", "x2"), c("z1", "z2"), etc.`. If the data is unbalanced (e.g., there are three time points measured for one variable but only two for another), using the placeholder variable `miss`, helps fix this.
`v.names`	a vector of the names for the newly created variables (length same as number of vectors in `varying`)
`id`	the ID variable in quotes
`timevar`	the column with the "time" labels
`times`	the labels of the `timevar` (default is numeric)
`sep`	the separating character between the wide format variable names (default is `""`); e.g. "x1" and "x2" would create the variable name of "x"; only applicable if `v.names`

Author(s)

Tyson S. Barrett

Examples

x1 <- runif(1000)
x2 <- runif(1000)
x3 <- runif(1000)
y1 <- rnorm(1000)
y2 <- rnorm(1000)
z  <- factor(sample(c(0,1), 1000, replace=TRUE))
a  <- factor(sample(c(1,2), 1000, replace=TRUE))
b  <- factor(sample(c(1,2,3,4), 1000, replace=TRUE))
df  <- data.frame(x1, x2, x3, y1, y2, z, a, b)

## "Balanced" Data
ldf1 <- long(df, 
             c("x1", "x2"), c("y1", "y2"),
             v.names = c("x", "y"))

## "Unbalanced" Data
ldf2 = long(df, 
            c("x1", "x2", "x3"), c("y1", "y2", "miss"),
            v.names = c("x", "y"))

furniture

Furniture for Quantitative Scientists

v1.9.10

GPL-3

Authors

Tyson S. Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>), Emily Brignone [aut], Daniel J. Laxman [aut]

Initial release

2021-02-20