| resolve_extrema | R Documentation |
This collection of S3 methods 'resolve' messy dates into a single date according to some explicit bias, such as returning the minimum or maximum date, the mean, median, or modal date, or a random date from among the possible resolutions for each messy date. If the date is not 'messy' (i.e. has no annotations) then just that precise date is returned. This can be useful for various descriptive or inferential projects.
vmin(..., na.rm = FALSE)
## S3 method for class 'mdate'
vmin(..., na.rm = FALSE)
## S3 method for class 'mdate'
min(..., na.rm = FALSE)
vmax(..., na.rm = FALSE)
## S3 method for class 'mdate'
vmax(..., na.rm = FALSE)
## S3 method for class 'mdate'
max(..., na.rm = FALSE)
... |
a mdate object |
na.rm |
Should NAs be removed? FALSE by default. |
vmin()/min() and vmax()/max() work directly on the annotated
string (dropping ~/?/% and, for vmax()/max(), filling in
unspecified X components) rather than via expand(), which makes
them considerably faster than resolving through the full expanded set.
min() and max() further resolve a vector to a single, overall
extremum (matching the usual behaviour of these generics), while
vmin() and vmax() resolve each element separately.
Dates that carry a time of day are already precise and so pass through these functions unchanged, keeping their time; a time of day plays no further role in choosing the minimum or maximum.
A single scalar or vector of dates
d <- as_messydate(c("2008-03-25", "?2012-02-27", "2001-01?", "2001~",
"2001-01-01..2001-02-02", "{2001-01-01,2001-02-02}",
"{2001-01,2001-02-02}", "2008-XX-31", "-0050-01-01"))
d
# a precise date-time is returned unchanged
vmin(as_messydate("2012-01-01 14:30:00"))
vmin(d)
min(d)
vmax(d)
max(d)
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