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Coercion from and to zoo

as.zoo.Rd

Methods for coercing "zoo" objects to other classes and a generic function as.zoo for coercing objects to class "zoo".

Usage

as.zoo(x, ...)

Arguments

x

an object,

...

further arguments passed to zoo when the return object is created.

Details

as.zoo currently has a default method and methods for ts, fts (currently archived on CRAN), irts, mcmc, tis, xts objects (and zoo objects themselves).

Methods for coercing objects of class "zoo" to other classes currently include: as.ts, as.matrix, as.vector, as.data.frame, as.list (the latter also being available for "ts" objects). Furthermore, fortify.zoo can transform "zoo" series to "data.frame" including the time index and optionally melting a wide series into a long data frame.

In the conversion between zoo and ts, the zooreg class is always used.

Value

as.zoo returns a zoo object.

See also

zoo, fortify.zoo, zooreg, ts, irts, tis, mcmc, xts.

Examples

suppressWarnings(RNGversion("3.5.0"))
set.seed(1)

## coercion to zoo:
## default method
as.zoo(rnorm(5))
#>          1          2          3          4          5 
#> -0.6264538  0.1836433 -0.8356286  1.5952808  0.3295078 
## method for "ts" objects
as.zoo(ts(rnorm(5), start = 1981, freq = 12))
#>   Jan 1981   Feb 1981   Mar 1981   Apr 1981   May 1981 
#> -0.8204684  0.4874291  0.7383247  0.5757814 -0.3053884 

## coercion from zoo:
x.date <- as.POSIXct(paste("2003-", rep(1:4, 4:1), "-", sample(1:28, 10, replace = TRUE), sep = ""))
x <- zoo(matrix(rnorm(24), ncol = 2), x.date)
as.matrix(x)
#>                    x.1         x.2
#> 2003-01-04  0.82122120  1.35867955
#> 2003-01-06 -0.01619026 -0.47815006
#> 2003-01-19  0.94383621  0.41794156
#> 2003-01-27 -0.04493361 -1.47075238
#> 2003-02-01  0.78213630 -0.05380504
#> 2003-02-08  0.59390132 -0.10278773
#> 2003-02-11  0.91897737  0.38767161
#> 2003-03-11  0.07456498 -1.37705956
#> 2003-03-25 -1.98935170 -0.41499456
#> 2003-04-10  0.61982575 -0.39428995
as.vector(x)
#>  [1]  0.82122120 -0.01619026  0.94383621 -0.04493361  0.78213630  0.59390132
#>  [7]  0.91897737  0.07456498 -1.98935170  0.61982575  1.35867955 -0.47815006
#> [13]  0.41794156 -1.47075238 -0.05380504 -0.10278773  0.38767161 -1.37705956
#> [19] -0.41499456 -0.39428995
as.data.frame(x)
#>                    x.1         x.2
#> 2003-01-04  0.82122120  1.35867955
#> 2003-01-06 -0.01619026 -0.47815006
#> 2003-01-19  0.94383621  0.41794156
#> 2003-01-27 -0.04493361 -1.47075238
#> 2003-02-01  0.78213630 -0.05380504
#> 2003-02-08  0.59390132 -0.10278773
#> 2003-02-11  0.91897737  0.38767161
#> 2003-03-11  0.07456498 -1.37705956
#> 2003-03-25 -1.98935170 -0.41499456
#> 2003-04-10  0.61982575 -0.39428995
as.list(x)
#> $x.1
#>  2003-01-04  2003-01-06  2003-01-19  2003-01-27  2003-02-01  2003-02-08 
#>  0.82122120 -0.01619026  0.94383621 -0.04493361  0.78213630  0.59390132 
#>  2003-02-11  2003-03-11  2003-03-25  2003-04-10 
#>  0.91897737  0.07456498 -1.98935170  0.61982575 
#> 
#> $x.2
#>  2003-01-04  2003-01-06  2003-01-19  2003-01-27  2003-02-01  2003-02-08 
#>  1.35867955 -0.47815006  0.41794156 -1.47075238 -0.05380504 -0.10278773 
#>  2003-02-11  2003-03-11  2003-03-25  2003-04-10 
#>  0.38767161 -1.37705956 -0.41499456 -0.39428995 
#>