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Rfast (version 1.2)

Fast R Functions

Description

A collection of fast (utility) functions for data analysis. Fast covariance matrix calculation, Mahalanobis distance and column-wise variances are some of the functions.

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Version

Install

install.packages('Rfast')

Monthly Downloads

21,571

Version

1.2

License

GPL-2

Maintainer

Manos Papadakis

Last Published

August 3rd, 2016

Functions in Rfast (1.2)

Column-wise mean absolute deviations

Colum-wise mean absolute deviations
Covariance and correlation matrix

Fast covariance and correlation matrix calculation
Column-wise variances and standard deviations

Colum-wise variances and standard deviations of a matrix
Column-wise minimum and maximum (in parallel)

Column-wise minimum and maximum of a matrix
Column-wise medians

Colum-wise medians (in parallel)
Many simple linear regressions coefficients

Simple linear regressions coefficients
Cholesky Matrix

Cholesky Matrix .
Fitting a Dirichlet distribution via Newton-Rapshon

Fitting a Dirichlet distribution via Newton-Rapshon
Distance between vectors and a matrix

Distance between vectors and a matrix
The sums of the columns and rows

The sums of the columns and rows .
Design Matrix

Design Matrix
G-square test of conditional indepdence

G-square test of conditional indepdence
Internal function for the Dirichlet distibution

Internal function for the Dirichlet distibution
Many F-tests

Many F-tests
Generate keys for the given values using Paul Larsson's function

Generate keys for the given values using Paul Larsson's function
Generate keys for the given values

Generate keys for the given values
Matrix with G-square tests of indepedence

G-square test of indepdence
Rfast-package

Really fast R functions
Hash - Pair function

Hash - Pair function
Many univariate simple binary logistic regressions

Many univariate simple binary logistic regressions
Mahalanobis distance

Mahalanobis distance
Many univariate simple linear regressions

Many univariate simple linear regressions
Median of a vector

Median of a vector
Many multivariate simple linear regressions coefficients

Many multivariate simple linear regressions coefficients
The nth largest value of a vector

The nth largest value of a vector
Many univariate simple poisson regressions

Many univariate simple poisson regressions
Match

Match
Many t-tests

Many t-tests
Find the given value in a hash table

Find the given value in a hash table
Index of the columns of a data.frame which are factor variables

Index of the columns of a data.frame which are factor variables
Standardisation

Standardisation
Sorting of the columns of a matrix (in parallel)

Sorting of the columns of a matrix (in parallel).
Row-wise minimum and maximum

Row-wise minimum and maximum of a matrix.
Many univariate generalised linear models

Many univariate generalised linear regressions
Correlations

Correlation between a vector and a set of variables
The means of the columns and the rows

The means of the columns and the rows.