Create a datey_interval

Creates a datey_interval, a closed-open ('clopen') interval [start, end).

A datey t in included in the interval if start <= t < end.

There are two syntaxes to create a datey_interval from start and end:

• operator: start %to% end

• function: datey_interval(start, end)

in which start and end are datey or numeric (interpreted as years). These are equivalent other than strict is always on for the operator version. The lengths of vector arguments must be multiples of each other.

A datey_interval can also be created from logical, mapping

• TRUE to [1000,3000), which is referred to as 'all of time' in datey documentation, and

• FALSE and NA to NA_datey_interval_.

Arguments of the correct type but which are NA result in NA_datey_interval_ – they do not stop execution (regardless of strict).

Common operations on intervals are

• testing for inclusion, i.e. with an interval includes a date – interval %includes% t, and

• obtaining the intersection, which uses the & operator – interval_a & interval b.

Usage

datey_interval(x, ...)

# Default S3 method
datey_interval(x, ...)

# S3 method for class 'datey_interval'
datey_interval(x, ...)

# S3 method for class 'logical'
datey_interval(x, ...)

# S3 method for class 'datey'
datey_interval(x, end, strict = TRUE, ...)

# S3 method for class 'double'
datey_interval(x, end, strict = TRUE, ...)

# S3 method for class 'integer'
datey_interval(x, end, strict = TRUE, ...)

start %to% end

Arguments

x

Argument to S3 method datey_interval(). If x is a datey then it represents the start (inclusive) of an interval and an end argument is also required. If x is a logical then it is mapped to 'all of time' or NA_datey_interval_.

...

Not used.

strict

How invalid non-NA datey inputs should be handled. If strict is TRUE – the default – then execution is stopped. If strict is FALSE then NA is returned.

start, end

The start (inclusive) and end of the interval (exclusive). These can be any type that is convertible to a datey.

Value

A vector of datey_interval.

See also

interval_properties, interval_nature, interval_includes, all_of_time, durationy, ops, is_NA, vignette("datey", package = "datey") for a worked introduction

Examples

start <- datey(2000)
end <- datey(2001)
interval <- start %to% end
interval  # [2000-01-01.0, 2001-01-01.0)
#> [1] [2000-01-01.0, 2001-01-01.0)

# Alternative functional syntax:
identical(interval, datey_interval(start, end)) # TRUE
#> [1] TRUE

# Can use numeric arguments:
2000 %to% 2001  # [2000-01-01.0, 2001-01-01.0)
#> [1] [2000-01-01.0, 2001-01-01.0)

# Can use vector arguments:
2000 %to% 2001:2003 # Vector of 3 intervals
#> [1] [2000-01-01.0, 2001-01-01.0) [2000-01-01.0, 2002-01-01.0)
#> [3] [2000-01-01.0, 2003-01-01.0)

# Logical values are mapped to 'all of time' or `NA_datey_interval_`:
datey_interval(c(TRUE, FALSE, NA)) # [1000-01-01.0, 3000-01-01.0) <NA> <NA>
#> [1] [1000-01-01.0, 3000-01-01.0) <NA>                        
#> [3] <NA>                        

# Test for inclusion in [start, end):
interval %includes% mid_day(1999, 12, 31) # FALSE
#> [1] FALSE
interval %includes% start                 # TRUE -- start *is* included
#> [1] TRUE
interval %includes% datey(2000.5)         # TRUE
#> [1] TRUE
interval %includes% end                   # FALSE -- end is *not* included
#> [1] FALSE

# Obtain the intersection of two intervals
interval2 <- start_day(2000, 12, 1) %to% 2010
interval & interval2  # [2000-12-01.0, 2001-01-01.0)
#> [1] [2000-12-01.0, 2001-01-01.0)