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lambda.tools (version 1.0.9)

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

51

Version

1.0.9

License

LGPL-3

Maintainer

Brian Lee Yung Rowe

Last Published

May 11th, 2016

Functions in lambda.tools (1.0.9)

Remove the head and tail of a data structure

Confine values to the given bounds

Get the generic length of an object

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

Pad a vector with some default value

Segment a sequence into shifted versions of itself

Check if an object is a scalar

Apply a function over blocks of a vector

Slice a sequence into two adjacent sub-sequences

Sample sub-sequences from a sequence

Force values into a set of bins

Successively apply a function to adjacent blocks of a sequence

Show the types of a list or data.frame

Check whether data is bad or empty

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

Call a function until it succeeds

Conditionally apply a function to an argument

Successively apply a function to the elements of a sequence

lambda.tools-package

Tools for functional programming in R

Find contiguous ranges of a given value within a sequence

Successively apply a function to a rolling range of a sequence

Apply a function over each element of a vector

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

Safely get an element from a vector

Apply a function over a rolling range of a data structure