Displaying 4 results from an estimated 4 matches for "ffapply".
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dfapply
2007 Nov 02
0
applying duplicated, unique and match to lists?
...shFUN=md5))
system.time(id.matrix(x, hashFUN=list))
}
# BTW, the following are methods for the upcoming package/class 'ff'
# they limit the chunk size of RAM needed for reading the data from disk
# yet they assume that the result fits into RAM (and is returned as such)
# they rely on ffapply which helps with chunked indexing
hash.ff <- function (x, MARGIN = NULL, hashFUN=md5
, return.ff = FALSE
, ... # passed to ffapply
)
{
if (!is.logical(return.ff) || return.ff)
.NotYetUsed("return.ff = TRUE")
d <- dim(x)
if (is.null(MARGIN))
MARGIN <-...
2010 Aug 19
2
Pass By Value Questions
I understand R is a "Pass-By-Value" language. I have a few practical
questions, however.
I'm dealing with a "large" dataset (~1GB) and so my understanding of the
nuances of memory usage in R is becoming important.
In an example such as:
> d <- read.csv("file.csv");
> n <- apply(d, 1, sum);
must "d" be copied to another location in memory in
2008 Aug 04
0
major release ff 2.0 (large atomic objects)
...t on
binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE
and NA.
Beyond basic access functions, the ff package also provides compatibility
functions that facilitate writing code for ff and ram objects and support for
batch processing on ff objects (e.g. as.ram, as.ff, ffapply).
A package that supports convenient processing of large ff objects is in the
making. R.ff will make the bigger part of R's basic functions available for ff
objects through method dispatch and/or an evaluator that handles expressions
which contain ff objects.
NOTE: A professional extensio...
2008 Aug 04
0
major release ff 2.0 (large atomic objects)
...t on
binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE
and NA.
Beyond basic access functions, the ff package also provides compatibility
functions that facilitate writing code for ff and ram objects and support for
batch processing on ff objects (e.g. as.ram, as.ff, ffapply).
A package that supports convenient processing of large ff objects is in the
making. R.ff will make the bigger part of R's basic functions available for ff
objects through method dispatch and/or an evaluator that handles expressions
which contain ff objects.
NOTE: A professional extensio...