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lambda.tools (version 1.0.7)

Tools for Modeling Data with Functional Programming

Description

Provides tools that manipulate and transform data using methods and techniques consistent with functional programming. The idea is that through the use of these tools, a program can be reasoned about insomuch that the implementation can be proven to be equivalent to the mathematical model.

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Install

install.packages('lambda.tools')

Monthly Downloads

16

Version

1.0.7

License

LGPL-3

Maintainer

Brian Lee Yung Rowe

Last Published

June 9th, 2015

Functions in lambda.tools (1.0.7)

Apply a function over a rolling range of a data structure

Slice a sequence into two adjacent sub-sequences

Successively apply a function to adjacent blocks of a sequence

Segment a sequence into shifted versions of itself

Safely get an element from a vector

Get the names of a data structure. This attempts to create some polymorphism around lists, vectors, and data.frames

Check whether data is bad or empty

Remove the head and tail of a data structure

Apply a function over each element of a vector

Show the types of a list or data.frame

lambda.tools-package

Tools for functional programming in R

Check if an object is a scalar

Sample sub-sequences from a sequence

Confine values to the given bounds

Successively apply a function to the elements of a sequence

Force values into a set of bins

Apply a function over blocks of a vector

Conditionally apply a function to an argument

Pad a vector with some default value

Find contiguous ranges of a given value within a sequence

Get the generic length of an object

Successively apply a function to a rolling range of a sequence

Partition a sequence into adjacent windows and apply a metric function to each window

Call a function until it succeeds

Apply a default value whenever a variable is not well-formed