qtile {bit64} | R Documentation |

## (Q)uan(Tile)s

### 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

```
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 |

`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 |

### 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 OehlschlĂ¤gel <Jens.Oehlschlaegel@truecluster.com>

### See Also

`rank.integer64`

for simple ranks and `quantile`

for quantiles.

### Examples

```
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)))))
```

*bit64*version 4.0.5 Index]