sortnut | R Documentation |
This is roughly an implementation of hash functionality but based on sorting instead on a hasmap. Since sorting is more informative than hashingwe can do some more interesting things.
sortnut(sorted, ...)
ordernut(table, order, ...)
sortfin(sorted, x, ...)
orderfin(table, order, x, ...)
orderpos(table, order, x, ...)
sortorderpos(sorted, order, x, ...)
orderdup(table, order, ...)
sortorderdup(sorted, order, ...)
sortuni(sorted, nunique, ...)
orderuni(table, order, nunique, ...)
sortorderuni(table, sorted, order, nunique, ...)
orderupo(table, order, nunique, ...)
sortorderupo(sorted, order, nunique, keep.order = FALSE, ...)
ordertie(table, order, nties, ...)
sortordertie(sorted, order, nties, ...)
sorttab(sorted, nunique, ...)
ordertab(table, order, nunique, ...)
sortordertab(sorted, order, ...)
orderkey(table, order, na.skip.num = 0L, ...)
sortorderkey(sorted, order, na.skip.num = 0L, ...)
orderrnk(table, order, na.count, ...)
sortorderrnk(sorted, order, na.count, ...)
## S3 method for class 'integer64'
sortnut(sorted, ...)
## S3 method for class 'integer64'
ordernut(table, order, ...)
## S3 method for class 'integer64'
sortfin(sorted, x, method=NULL, ...)
## S3 method for class 'integer64'
orderfin(table, order, x, method=NULL, ...)
## S3 method for class 'integer64'
orderpos(table, order, x, nomatch=NA, method=NULL, ...)
## S3 method for class 'integer64'
sortorderpos(sorted, order, x, nomatch=NA, method=NULL, ...)
## S3 method for class 'integer64'
orderdup(table, order, method=NULL, ...)
## S3 method for class 'integer64'
sortorderdup(sorted, order, method=NULL, ...)
## S3 method for class 'integer64'
sortuni(sorted, nunique, ...)
## S3 method for class 'integer64'
orderuni(table, order, nunique, keep.order=FALSE, ...)
## S3 method for class 'integer64'
sortorderuni(table, sorted, order, nunique, ...)
## S3 method for class 'integer64'
orderupo(table, order, nunique, keep.order=FALSE, ...)
## S3 method for class 'integer64'
sortorderupo(sorted, order, nunique, keep.order = FALSE, ...)
## S3 method for class 'integer64'
ordertie(table, order, nties, ...)
## S3 method for class 'integer64'
sortordertie(sorted, order, nties, ...)
## S3 method for class 'integer64'
sorttab(sorted, nunique, ...)
## S3 method for class 'integer64'
ordertab(table, order, nunique, denormalize=FALSE, keep.order=FALSE, ...)
## S3 method for class 'integer64'
sortordertab(sorted, order, denormalize=FALSE, ...)
## S3 method for class 'integer64'
orderkey(table, order, na.skip.num = 0L, ...)
## S3 method for class 'integer64'
sortorderkey(sorted, order, na.skip.num = 0L, ...)
## S3 method for class 'integer64'
orderrnk(table, order, na.count, ...)
## S3 method for class 'integer64'
sortorderrnk(sorted, order, na.count, ...)
## S3 method for class 'integer64'
sortqtl(sorted, na.count, probs, ...)
## S3 method for class 'integer64'
orderqtl(table, order, na.count, probs, ...)
x |
an |
sorted |
a sorted |
table |
the original data with original order under the sorted vector |
order |
an |
nunique |
number of unique elements, usually we get this from cache or call |
nties |
number of tied values, usually we get this from cache or call |
denormalize |
FALSE returns counts of unique values, TRUE returns each value with its counts |
nomatch |
the value to be returned if an element is not found in the hashmap |
keep.order |
determines order of results and speed: |
probs |
vector of probabilities in [0..1] for which we seek quantiles |
na.skip.num |
0 or the number of |
na.count |
the number of |
method |
see details |
... |
further arguments, passed from generics, ignored in methods |
sortfun | orderfun | sortorderfun | see also | description |
sortnut | ordernut | return number of tied and of unique values | ||
sortfin | orderfin | %in%.integer64 | return logical whether x is in table |
|
orderpos | sortorderpos | match | return positions of x in table |
|
orderdup | sortorderdup | duplicated | return logical whether values are duplicated | |
sortuni | orderuni | sortorderuni | unique | return unique values (=dimensiontable) |
orderupo | sortorderupo | unique | return positions of unique values | |
ordertie | sortordertie | return positions of tied values | ||
orderkey | sortorderkey | positions of values in vector of unique values (match in dimensiontable) | ||
sorttab | ordertab | sortordertab | table | tabulate frequency of values |
orderrnk | sortorderrnk | rank averaging ties | ||
sortqtl | orderqtl | return quantiles given probabilities | ||
The functions sortfin
, orderfin
, orderpos
and sortorderpos
each offer three algorithms for finding x
in table
.
With method=1L
each value of x
is searched independently using binary search, this is fastest for small table
s.
With method=2L
the values of x
are first sorted and then searched using doubly exponential search, this is the best allround method.
With method=3L
the values of x
are first sorted and then searched using simple merging, this is the fastest method if table
is huge and x
has similar size and distribution of values.
With method=NULL
the functions use a heuristic to determine the fastest algorithm.
The functions orderdup
and sortorderdup
each offer two algorithms for setting the truth values in the return vector.
With method=1L
the return values are set directly which causes random write access on a possibly large return vector.
With method=2L
the return values are first set in a smaller bit-vector – random access limited to a smaller memory region – and finally written sequentially to the logical output vector.
With method=NULL
the functions use a heuristic to determine the fastest algorithm.
see details
Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>
match
message("check the code of 'optimizer64' for examples:")
print(optimizer64)
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