qtile: (Q)uan(Tile)s

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/highlevel64.R

Description

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].

Usage

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	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)

Arguments

x

a integer64 vector

object

a integer64 vector

probs

numeric vector of probabilities with values in [0,1] - possibly containing NAs

names

logical; if TRUE, the result has a names attribute. Set to FALSE for speedup with many probs.

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 TRUE, any NA and NaN's are removed from x before the quantiles are computed.

...

ignored

Details

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).

Value

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.

Author(s)

Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>

See Also

rank.integer64 for simple ranks and quantile for quantiles.

Examples

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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)))))

Example output

Loading required package: bit
Attaching package bit
package:bit (c) 2008-2012 Jens Oehlschlaegel (GPL-2)
creators: bit bitwhich
coercion: as.logical as.integer as.bit as.bitwhich which
operator: ! & | xor != ==
querying: print length any all min max range sum summary
bit access: length<- [ [<- [[ [[<-
for more help type ?bit

Attaching package: 'bit'

The following object is masked from 'package:base':

    xor

Attaching package bit64
package:bit64 (c) 2011-2012 Jens Oehlschlaegel
creators: integer64 seq :
coercion: as.integer64 as.vector as.logical as.integer as.double as.character as.bin
logical operator: ! & | xor != == < <= >= >
arithmetic operator: + - * / %/% %% ^
math: sign abs sqrt log log2 log10
math: floor ceiling trunc round
querying: is.integer64 is.vector [is.atomic} [length] format print str
values: is.na is.nan is.finite is.infinite
aggregation: any all min max range sum prod
cumulation: diff cummin cummax cumsum cumprod
access: length<- [ [<- [[ [[<-
combine: c rep cbind rbind as.data.frame
WARNING don't use as subscripts
WARNING semantics differ from integer
for more help type ?bit64

Attaching package: 'bit64'

The following object is masked from 'package:bit':

    still.identical

The following objects are masked from 'package:base':

    %in%, :, is.double, match, order, rank

integer64
  0%  25%  50%  75% 100% 
   1    3    5    7    9 
integer64
  0%  25%  50%  75% 100% 
   1    3    5    7    9 
integer64
[1] 5
integer64
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
      1       3       5       4       7       9      15 

bit64 documentation built on Aug. 30, 2020, 9:07 a.m.