R: Convert between wide and long data formats.

formatWideLong {unmarked} | R Documentation

## Convert between wide and long data formats.

### Description

Convert a data.frame between wide and long formats.

### Usage

    formatWide(dfin, sep = ".", obsToY, type, ...)
    formatLong(dfin, species = NULL, type, ...)

### Arguments

`dfin` | A data.frame to be reformatted.
`sep` | A seperator of column names in wide format.
`obsToY` | Optional matrix specifying relationship between covariate column structure and response matrix structure.
`type` | Type of unmarkedFrame to create?
`species` | Character name of species response column
`...` | Further arguments to the unmarkedFrame* constructor functions

### Details

Note that not all possible `unmarkedFrame`* classes have been tested with these functions. Multinomial data sets (e.g., removal, double-observer, capture-recapture) are almost certainly easier to enter directly to the constructor function and are not supported by `formatLong` or `formatWide`.

In order for these functions to work, the columns of `dfin` need to be in the correct order. `formatLong` requires that the columns are in the following scheme:

1. site name or number.

2. date or observation number.

3. response variable (detections, counts, etc).

4. The remaining columns are observation-level covariates.

`formatWide` requires particular names for the columns. The column order for `formatWide` is

1. (optional) site name, named “site”.

2. response, named “y.1”, “y.2”, ..., “y.J”.

3. columns of site-level covariates, each with a relevant name per column.

4. groups of columns of observation-level covariates, each group having the name form “someObsCov.1”, “someObsCov.2”, ..., “someObsCov.J”.

### Value

A data.frame

### See Also

`csvToUMF`

[Package unmarked version 1.0.0 Index]