# irts

From tseries v0.10-1
by Kurt Hornik

##### Irregularly Spaced Time-Series

The function `irts`

is used to create irregular time-series
objects.

`as.irts`

coerces an object to an irregularly spaced
time-series. `is.irts`

tests whether an object is an irregularly
spaced time series.

- Keywords
- ts

##### Usage

```
irts(time, value)
as.irts(object)
is.irts(object)
```

##### Arguments

- time
- a numeric vector or a vector of class
`"POSIXct"`

representing the time-stamps of the irregular time-series object. The elements of the numeric vector are construed as the (signed) number of seconds since the beginning of 1970, see - value
- a numeric vector or matrix representing the values of the irregular time-series object.
- object
- an R object to be coerced to an irregular time-series object or an R object to be tested whether it is an irregular time-series object.

##### Details

The function `irts`

is used to create irregular time-series
objects. These are scalar or vector valued time series indexed by a
time-stamp of class `"POSIXct"`

. Unlike objects of class
`"ts"`

, they can be used to represent irregularly spaced
time-series.

##### Value

- A list of class
`"irts"`

with the following elements: time a vector of class `"POSIXct"`

.value a numeric vector or matrix.

##### See Also

##### Examples

```
n <- 10
t <- cumsum(rexp(n, rate = 0.1))
v <- rnorm(n)
x <- irts(t, v)
x
as.irts(cbind(t, v))
is.irts(x)
# Multivariate
u <- rnorm(n)
irts(t, cbind(u, v))
```

*Documentation reproduced from package tseries, version 0.10-1, License: GPL (see file COPYING)*

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