R: Convert time-series-like to data.frame

fortify.ts {ggfortify} | R Documentation

## Convert time-series-like to data.frame

### Description

Convert time-series-like to data.frame

### Usage

    ## S3 method for class 'ts'
    fortify(model, data = NULL, columns = NULL, is.date = NULL,
      index.name = "Index", data.name = "Data", scale = FALSE, melt = FALSE,
      ...)

### Arguments

`model` | time-series-like instance
`data` | original dataset, if needed
`columns` | character vector specifies target column name(s)
`is.date` | logical frag indicates whether the `stats::ts` is date or not If not provided, regard the input as date when the frequency is 4 or 12
`index.name` | specify column name for time series index
`data.name` | specify column name for univariate time series data. Ignored in multivariate time series.
`scale` | logical flag indicating whether to perform scaling each timeseries
`melt` | logical flag indicating whether to melt each timeseries as variable
`...` | other arguments passed to methods

### Value

data.frame

### Examples

    fortify(AirPassengers)
    fortify(timeSeries::as.timeSeries(AirPassengers))
    fortify(tseries::irts(cumsum(rexp(10, rate = 0.1)), matrix(rnorm(20), ncol=2)))
    fortify(stats::stl(UKgas, s.window = 'periodic'))
    fortify(stats::decompose(UKgas))

[Package ggfortify version 0.4.1 Index]