ffbase-package: Basic statistical functions for ff

Description

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.

Arguments

Basic operations

`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.

Selections

`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

Aggregations

`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.

Miscellaneous

`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.

Examples

Run this code

# NOT RUN {
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)
# }

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