intrle {bit} | R Documentation |
Hybrid Index, C-coded utilities
Description
These C-coded utilitites speed up index preprocessing considerably.
Usage
intrle(x)
intisasc(x, na.method = c("none", "break", "skip")[2])
intisdesc(x, na.method = c("none", "break", "skip")[1])
Arguments
x |
an integer vector |
na.method |
one of "none","break","skip", see details. The strange defaults stem from the initial usage. |
Details
intrle
is by factor 50 faster and needs less RAM (2x its input
vector) compared to rle
which needs 9x the RAM of its input
vector. This is achieved because we allow the C-code of intrle
to
break when it turns out, that rle-packing will not achieve a compression
factor of 3 or better.
intisasc
is a faster version of
is.unsorted
: it checks whether x
is sorted.
intisdesc
checks for being sorted descending and
by default default assumes that the input x
contains no NAs.
na.method="none"
treats NAs
(the smallest integer) like every other integer and hence returns either TRUE
or FALSE
na.method="break"
checks for NAs
and returns either NA
as soon as NA
is encountered.
na.method="skip"
checks for NAs
and skips over them, hence decides the return value only on the basis of non-NA values.
Value
intrle
returns an object of class rle
or NULL,
if rle-compression is not efficient (compression factor <3 or length(x)<3).
intisasc
returns one of FALSE, NA, TRUE
intisdesc
returns one of FALSE, TRUE
(if the input contains
NAs, the output is undefined)
Functions
-
intisasc
: check whether integer vector is ascending -
intisdesc
: check whether integer vector is descending
Author(s)
Jens Oehlschlägel
See Also
hi
, rle
, is.unsorted
,
is.sorted
Examples
intrle(sample(1:10))
intrle(diff(1:10))
intisasc(1:10)
intisasc(10:1)
intisasc(c(NA, 1:10))
intisdesc(1:10)
intisdesc(c(10:1, NA))
intisdesc(c(10:6, NA, 5:1))
intisdesc(c(10:6, NA, 5:1), na.method="skip")
intisdesc(c(10:6, NA, 5:1), na.method="break")