| ramsort.integer64 | R Documentation | 
Fast low-level methods for sorting and ordering. 
The ..sortorder methods do sorting and ordering at once, which requires more RAM than ordering but is (almost) as fast as as sorting.
## S3 method for class 'integer64'
shellsort(x, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
shellsortorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
shellorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
mergesort(x, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
mergeorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
mergesortorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, ...)
## S3 method for class 'integer64'
quicksort(x, has.na=TRUE, na.last=FALSE, decreasing=FALSE
, restlevel=floor(1.5*log2(length(x))), ...)
## S3 method for class 'integer64'
quicksortorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE
, restlevel=floor(1.5*log2(length(x))), ...)
## S3 method for class 'integer64'
quickorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE
, restlevel=floor(1.5*log2(length(x))), ...)
## S3 method for class 'integer64'
radixsort(x, has.na=TRUE, na.last=FALSE, decreasing=FALSE, radixbits=8L, ...)
## S3 method for class 'integer64'
radixsortorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, radixbits=8L, ...)
## S3 method for class 'integer64'
radixorder(x, i, has.na=TRUE, na.last=FALSE, decreasing=FALSE, radixbits=8L, ...)
## S3 method for class 'integer64'
ramsort(x, has.na = TRUE, na.last=FALSE, decreasing = FALSE, stable = TRUE
, optimize = c("time", "memory"), VERBOSE = FALSE, ...)
## S3 method for class 'integer64'
ramsortorder(x, i, has.na = TRUE, na.last=FALSE, decreasing = FALSE, stable = TRUE
, optimize = c("time", "memory"), VERBOSE = FALSE, ...)
## S3 method for class 'integer64'
ramorder(x, i, has.na = TRUE, na.last=FALSE, decreasing = FALSE, stable = TRUE
, optimize = c("time", "memory"), VERBOSE = FALSE, ...)
| x |  a vector to be sorted by  | 
| i |  integer positions to be modified by  | 
| has.na | boolean scalar defining whether the input vector might contain  | 
| na.last | boolean scalar telling ramsort whether to sort  | 
| decreasing | boolean scalar telling ramsort whether to sort increasing or decreasing | 
| stable | boolean scalar defining whether stable sorting is needed. Allowing non-stable may speed-up. | 
| optimize | by default ramsort optimizes for 'time' which requires more RAM, set to 'memory' to minimize RAM requirements and sacrifice speed | 
| restlevel | number of remaining recursionlevels before  | 
| radixbits | size of radix in bits | 
| VERBOSE | cat some info about chosen method | 
| ... | further arguments, passed from generics, ignored in methods | 
see ramsort
These functions return the number of NAs found or assumed during sorting
Note that these methods purposely violate the functional programming paradigm: they are called for the side-effect of changing some of their arguments.
The sort-methods change x, the order-methods change i, and the sortoder-methods change both x and i
Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>
ramsort for the generic, ramsort.default for the methods provided by package ff, sort.integer64 for the sort interface and sortcache for caching the work of sorting
  x <- as.integer64(sample(c(rep(NA, 9), 1:9), 32, TRUE))
  x
  message("ramsort example")
  s <- clone(x)
  ramsort(s)
  message("s has been changed in-place - whether or not ramsort uses an in-place algorithm")
  s
  message("ramorder example")
  s <- clone(x)
  o <- seq_along(s)
  ramorder(s, o)
  message("o has been changed in-place - s remains unchanged")
  s
  o
  s[o]
  message("ramsortorder example")
  o <- seq_along(s)
  ramsortorder(s, o)
  message("s and o have both been changed in-place - this is much faster")
  s
  o
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