qtile {bit64} | R Documentation |
Function prank.integer64
projects the values [min..max] via ranks [1..n] to [0..1].
qtile.ineger64
is the inverse function of 'prank.integer64' and projects [0..1] to [min..max].
qtile(x, probs=seq(0, 1, 0.25), ...)
## S3 method for class 'integer64'
qtile(x, probs = seq(0, 1, 0.25), names = TRUE, method = NULL, ...)
## S3 method for class 'integer64'
quantile(x, probs = seq(0, 1, 0.25), na.rm = FALSE, names = TRUE, type=0L, ...)
## S3 method for class 'integer64'
median(x, na.rm = FALSE, ...)
## S3 method for class 'integer64'
mean(x, na.rm = FALSE, ...)
## S3 method for class 'integer64'
summary(object, ...)
## mean(x, na.rm = FALSE, ...)
## or
## mean(x, na.rm = FALSE)
x |
a integer64 vector |
object |
a integer64 vector |
probs |
numeric vector of probabilities with values in [0,1] - possibly containing |
names |
logical; if |
type |
an integer selecting the quantile algorithm, currently only 0 is supported, see details |
method |
NULL for automatic method selection or a suitable low-level method, see details |
na.rm |
logical; if |
... |
ignored |
Functions quantile.integer64
with type=0
and median.integer64
are convenience wrappers to qtile
.
Function qtile
behaves very similar to quantile.default
with type=1
in that it only returns existing values, it is mostly symetric
but it is using 'round' rather than 'floor'.
Note that this implies that median.integer64
does not interpolate for even number of values
(interpolation would create values that could not be represented as 64-bit integers).
This function automatically chooses from several low-level functions considering the size of x
and the availability of a cache.
Suitable methods are sortqtl
(fast sorting)
and orderqtl
(memory saving ordering).
prank
returns a numeric vector of the same length as x
.
qtile
returns a vector with elements from x
at the relative positions specified by probs
.
Jens OehlschlĂ¤gel <Jens.Oehlschlaegel@truecluster.com>
rank.integer64
for simple ranks and quantile
for quantiles.
x <- as.integer64(sample(c(rep(NA, 9), 1:9), 32, TRUE))
qtile(x, probs=seq(0, 1, 0.25))
quantile(x, probs=seq(0, 1, 0.25), na.rm=TRUE)
median(x, na.rm=TRUE)
summary(x)
x <- x[!is.na(x)]
stopifnot(identical(x, unname(qtile(x, probs=prank(x)))))