# yearmon

##### An Index Class for Monthly Data

`"yearmon"`

is a class for representing monthly data.

- Keywords
- ts

##### Usage

`yearmon(x)`

##### Arguments

- x
- numeric (interpreted as being
in years ).

##### Details

The `"yearmon"`

class is used to represent monthly data. Internally it holds
the data as year plus 0 for January, 1/12 for February, 2/12 for March
and so on in order that its internal representation is the same as
`ts`

class with `frequency = 12`

. If `x`

is not in this
format it is rounded via `floor(12*x + .0001)/12`

.
There are coercion methods available for various classes including:
default coercion to `"yearmon"`

(which coerces to `"numeric"`

first)
and coercions to and from `"yearmon"`

to `"Date"`

(see below),
`"POSIXct"`

,
`"POSIXlt"`

, `"numeric"`

, `"character"`

and `"jul"`

.
The last one is from the `"tis"`

package available on CRAN.
In the case of `as.yearmon.POSIXt`

the conversion is with respect to
GMT. (Use `as.yearmon(format(...))`

for other time zones.)
In the case of
`as.yearmon.character`

the `format`

argument uses the same
percent code as
`"Date"`

. These are described in `strptime`

. Unlike
`"Date"`

one can specify a year and month with no day.
Default formats of `"%Y-%m"`

, `"%Y-%m-%d"`

and `"%b %Y"`

.
There is an `is.numeric`

method which returns `FALSE`

.
`as.Date.yearmon`

and `as.yearmon.yearqtr`

each has an optional
second argument of `"frac"`

which is a number between 0 and 1 inclusive
that indicates the fraction of the way through the period that the result
represents. The default is 0 which means the beginning of the period.
There is also a `date`

method for `as.yearmon`

usable with objects
created with package `date`

.
`Sys.yearmon()`

returns the current year/month and methods for
`min`

, `max`

and `range`

are defined (by defining
a method for `Summary`

).
A `yearmon`

`mean`

method is also defined.

##### Value

- Returns its argument converted to class
`yearmon`

.

##### See Also

##### Examples

```
x <- as.yearmon(2000 + seq(0, 23)/12)
x
as.yearmon("mar07", "%b%y")
as.yearmon("2007-03-01")
as.yearmon("2007-12")
# returned Date is the fraction of the way through
# the period given by frac (= 0 by default)
as.Date(x)
as.Date(x, frac = 1)
as.POSIXct(x)
# given a Date, x, return the Date of the next Friday
nextfri <- function(x) 7 * ceiling(as.numeric(x - 1)/7) + as.Date(1)
# given a Date, d, return the same Date in the following month
# Note that as.Date.yearmon gives first Date of the month.
d <- as.Date("2005-1-1") + seq(0,90,30)
next.month <- function(d) as.Date(as.yearmon(d) + 1/12) +
as.numeric(d - as.Date(as.yearmon(d)))
next.month(d)
# 3rd Friday in last month of the quarter of Date x
as.Date(as.yearmon(as.yearqtr(x)) + 2/12) + 14
z <- zoo(rnorm(24), x, frequency = 12)
z
as.ts(z)
## convert data fram to multivariate monthly "ts" series
## 1.read raw data
Lines.raw <- "ID Date Count
123 20 May 1999 1
123 21 May 1999 3
222 1 Feb 2000 2
222 3 Feb 2000 4
"
DF <- read.table(textConnection(Lines.raw), skip = 1,
col.names = c("ID", "d", "b", "Y", "Count"))
## 2. fix raw date
DF$yearmon <- as.yearmon(paste(DF$b, DF$Y), "%b %Y")
## 3. aggregate counts over months, convert to zoo and merge over IDs
ag <- function(DF) aggregate(zoo(DF$Count), DF$yearmon, sum)
z <- do.call("merge.zoo", lapply(split(DF, DF$ID), ag))
## 4. convert to "zooreg" and then to "ts"
frequency(z) <- 12
as.ts(z)
xx <- zoo(seq_along(x), x)
## aggregating over year
as.year <- function(x) as.numeric(floor(as.yearmon(x)))
aggregate(xx, as.year, mean)
```

*Documentation reproduced from package zoo, version 1.7-0, License: GPL-2*