These methods are packaged here for methods in packages bit64
and ff
.
Details
All these functions benefit from a sortcache()
, ordercache()
or
sortordercache()
. na.count()
, nvalid()
and nunique()
also
benefit from a hashcache()
.
Functions
na.count(integer64)
: returns the number ofNA
snvalid(integer64)
: returns the number of valid data points, usuallylength()
minusna.count
.is.sorted(integer64)
: checks for sortedness ofx
(NAs sorted first)nunique(integer64)
: returns the number of unique valuesnties(integer64)
: returns the number of tied values.
Note
If a cache()
exists but the desired value is not cached, then these
functions will store their result in the cache. We do not consider this
a relevant side-effect, since these small cache results do not have a
relevant memory footprint.
See also
cache()
for caching functions and sortordercache()
for functions creating big caches
Examples
x <- as.integer64(sample(c(rep(NA, 9), 1:9), 32, TRUE))
length(x)
#> [1] 32
na.count(x)
#> [1] 16
nvalid(x)
#> [1] 16
nunique(x)
#> [1] 9
nties(x)
#> [1] 30
table.integer64(x)
#> x
#> <NA> 1 2 3 4 5 7 8 9
#> 16 4 2 1 1 2 2 2 2
x
#> integer64
#> [1] <NA> 5 <NA> <NA> <NA> <NA> 1 <NA> <NA> <NA> 2 3 1 9
#> [15] 2 8 8 <NA> <NA> 7 1 7 <NA> 5 4 <NA> 1 <NA>
#> [29] <NA> <NA> <NA> 9