coerce_tendency | R Documentation |
These functions resolve messydates by their central tendency.
While the functions mean()
, median()
, and modal()
summarise the
vector to a single value, v*()
versions return a vector of the same length.
## S3 method for class 'mdate'
median(..., na.rm = TRUE)
vmedian(..., na.rm = TRUE)
## S3 method for class 'mdate'
vmedian(..., na.rm = TRUE)
## S3 method for class 'mdate'
mean(..., trim = 0, na.rm = TRUE)
vmean(..., na.rm = TRUE)
## S3 method for class 'mdate'
vmean(..., trim = 0, na.rm = TRUE)
modal(..., na.rm = TRUE)
## S3 method for class 'mdate'
modal(..., na.rm = TRUE)
vmodal(..., na.rm = TRUE)
## S3 method for class 'mdate'
vmodal(..., na.rm = TRUE)
random(..., na.rm = TRUE)
## S3 method for class 'mdate'
random(..., na.rm = TRUE)
vrandom(..., na.rm = TRUE)
## S3 method for class 'mdate'
vrandom(..., na.rm = TRUE)
... |
a mdate object |
na.rm |
Should NAs be removed? True by default. |
trim |
the fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values of trim outside that range are taken as the nearest endpoint. |
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
median(d)
vmedian(d)
mean(d)
vmean(d)
modal(d)
vmodal(d)
random(d)
vrandom(d)
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