data.table (version 1.12.4)

fsort: Fast parallel sort

Description

Similar to base::sort but fast using parallelism. Experimental.

Usage

fsort(x, decreasing = FALSE, na.last = FALSE, internal=FALSE, verbose=FALSE, …)

Arguments

x

A vector. Type double, currently.

decreasing

Decreasing order?

na.last

Control treatment of NAs. If TRUE, missing values in the data are put last; if FALSE, they are put first; if NA, they are removed; if "keep" they are kept with rank NA.

internal

Internal use only. Temporary variable. Will be removed.

verbose

Print tracing information.

…

Not sure yet. Should be consistent with base R.

Value

The input in sorted order.

Details

Process will raise error if x contains negative values. Unless x is already sorted fsort will redirect processing to slower single threaded order followed by subset in following cases:

• data type other than double (numeric)

• data having NAs

• decreasing==FALSE

Examples

# NOT RUN {
x = runif(1e6)
system.time(ans1 <- sort(x, method="quick"))
system.time(ans2 <- fsort(x))
identical(ans1, ans2)
# }

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