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Rfast (version 1.3)

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

1.3

License

GPL-2

Maintainer

Manos Papadakis

Last Published

August 10th, 2016

Functions in Rfast (1.3)

Column-wise variances and standard deviations

Colum-wise variances and standard deviations of a matrix
Generate keys for the given values

Generate keys for the given values
Hash - Pair function

Hash - Pair function
Design Matrix

Design Matrix
Distance between vectors and a matrix

Distance between vectors and a matrix
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
G-square test of conditional indepdence

G-square test of conditional indepdence
Find the given value in a hash table

Find the given value in a hash table
Matrix with G-square tests of indepedence

G-square test of indepdence
Fitting a Dirichlet distribution via Newton-Rapshon

Fitting a Dirichlet distribution via Newton-Rapshon
Many multivariate simple linear regressions coefficients

Many multivariate simple linear regressions coefficients
Random generation for the binomial distribution with parameters size and prob

Random generation for the binomial distribution with parameters size and prob
Mahalanobis distance

Mahalanobis distance
Many univariate simple linear regressions

Many univariate simple linear regressions
Match

Match
Median of a vector

Median of a vector
Many univariate simple binary logistic regressions

Many univariate simple binary logistic regressions
Random generation for the Beta distribution with shape 1 and shape 2

Random generation for the Beta distribution with shape 1 and shape 2
Many univariate simple poisson regressions

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

The nth largest value of a vector
Many univariate generalised linear models

Many univariate generalised linear regressions
Index of the columns of a data.frame which are factor variables

Index of the columns of a data.frame which are factor variables
Random generation for the normal distribution

Random generation for the normal distribution
Uniform distribution on the interval from min to max

Uniform distribution on the interval from min to max
Rfast-package

Really fast R functions
Random generation for the Poisson distribution with parameter lambda

Random generation for the Poisson distribution with parameter lambda
Row-wise minimum and maximum

Row-wise minimum and maximum of a matrix.
Sorting of the columns of a matrix

Sorting of the columns of a matrix .
Standardisation

Standardisation
Many t-tests

Many t-tests
Covariance and correlation matrix

Fast covariance and correlation matrix calculation
Column-wise range of values of a matrix

Column-wise range of values of a matrix.
Column-wise mean absolute deviations

Colum-wise mean absolute deviations
Many simple linear regressions coefficients

Simple linear regressions coefficients
Correlations

Correlation between a vector and a set of variables
Column-wise minimum and maximum

Column-wise minimum and maximum of a matrix
The means of the columns and the rows

The means of the columns and the rows.
The sums of the columns and rows

The sums of the columns and rows .
Column-wise medians

Colum-wise medians