ffbase-package: Basic statistical functions for ff
In ffbase: Basic Statistical Functions for Package 'ff'

Description Basic operations Selections Aggregations Miscellaneous Examples

Basic statistical functions for ff vectors and ffdf data.frames. The aim of ffbase is to make working with ff vectors and ffdf data.frame a bit easier.

`cut.ff`	cut a `ff` vector.
`c.ff`	concatenate `ff` vectors.
`unique`	unique for a `ff` vector and `ffdf`.
`duplicated`	duplicated for a `ff` vector and `ffdf`.
`ffmatch`	match for a 2 `ff` vectors.
`ffdfmatch`	match for 2 `ffdf` objects.
`%in%`	%in% operator for a `ff` vector and `ffdf`.
`is.na.ff`	is.na for a `ff` vector.
`+, -, *, /, ^, %%, %/%`	operators for arithmetic on `ff` vector.
`==, !=, <, <=, >=, >, &, \|, !`	compare & logic operators for working with `ff` vectors.
`abs, sign, sqrt, ceiling, floor, trunc, round, signif`	Math operators for working on `ff` vectors.
`log, log10, log2, log1p, exp, expm1`	Math operators for working on `ff` vectors.
`acos, acosh, asin, asinh, atan, atanh`	Math operators for working on `ff` vectors.
`cos, cosh, sin, sinh, tan, tanh`	Math operators for working on `ff` vectors.
`gamma, lgamma, digamma, trigamma`	Math operators for working on `ff` vectors.

`subset.ffdf`	subset a `ffdf`.
`transform.ffdf`	create a new `ffdf` based on an existing `ffdf`
`with.ffdf`	create a ff vector based on columns of an existing `ffdf`
`within.ffdf`	create a `ffdf` data.frame based on columns of an existing `ffdf`
`ffwhich`	create a `ff` integer vector based on a logical expression

`hist.ff`	Calculate a histogram for `ff` vector.
`quantile.ff`	Get quantiles for `ff` vector.
`sum.ff`	sum for a `ff` vector.
`mean.ff`	(trimmed) mean for a `ff` vector.
`all.ff`	all for logical `ff` vector.
`min.ff`	min for `ff` vector.
`max.ff`	max for `ff` vector.
`cumsum.ff`	cumsum for `ff` vector.
`cumprod.ff`	cumprod for `ff` vector.
`range.ff`	range for `ff` vector.
`table`	table for `ff` vectors.
`tabulate.ff`	tabulate for `ff` vectors.
`ffdfdply`	Split, group and aggregate for `ffdf` operations.

`ffordered`	Add a sorted index to a `ff` vector.
`save.ffdf`	Save a `ffdf` in a directory with its containing `ff` columns.
`load.ffdf`	Loads a `ffdf` from a directory
`pack.ffdf`	Packs ffdf data.frames into a zip or tar file
`unpack.ffdf`	Unpacksdata.frames from a zip or tar file
`ffappend`	Append data to a `ff` vector.
`ffdfappend`	Append data to a `ffdf`.
`merge.ffdf`	Merge two `ffdf` objects.
`ffmatch`	match two ff vectors
`ffdfmatch`	match two ffdf data.frames
`laf_to_ffdf`	Import csv and fixed width files through package LaF.

ffdat <- as.ffdf(data.frame(x=1:10, y=10:1))

# add a new ff vector z to the ffdf data.frame
within(ffdat, {z <- x+y})[]

# add a new ff vector z to the ffdf data.frame using transform
transform(ffdat, z=x+y)[]

cut(ffdat$x, breaks=3)[]

tabulate.ff(ffdat$x)