Rfast v1.7.3

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by Manos Papadakis

Fast R Functions

A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), Mahalanobis distance are some of the many fast functions.

Functions in Rfast

Name Description
Column and rows-wise mean absolute deviations Column and row-wise mean absolute deviations
Equality of objects Equality of objects
Column and row-wise means of a matrix Column and row-wise means of a matrix
MLE of the Beta distribution MLE of the Beta distribution
Binary search algorithm Binary search algorithm
Column and row-wise medians Column and row-wise medians
Many multi-sample tests Many multi-sample tests
Floyd-Warshall algorithm Floyd-Warshall algorithm for shortest paths in a directed graph
Correlations Correlation between a vector and a set of variables
Column and row-wise variances and standard deviations Column and row-wise variances and standard deviations of a matrix
All k possible combinations from n elements All k possible combinations from n elements
Count the frequency of a value Count the frequency of a value
Covariance and correlation matrix Fast covariance and correlation matrix calculation
Design Matrix Design 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
Hash - Pair function Hash - Pair function
Find the given value in a hash table Find the given value in a hash table
Median of a vector Median of a vector
Match Match
Many univariate simple binary logistic regressions Many univariate simple binary logistic regressions
Mahalanobis distance Mahalanobis distance
Find element Find element
Natural logarithm of the gamma function and its derivatives Sorting of the columns of a matrix
Matrix with G-square tests of indepedence G-square test of indepdence
G-square test of conditional indepdence G-square test of conditional indepdence
The nth largest value of a vector The nth largest value of a vector
Rfast-package Really fast R functions
Many univariate simple linear regressions Many univariate simple linear regressions
Order Order
Permutation Permutation
Many univariate simple poisson regressions Many univariate simple poisson regressions
Multivariate Laplace random values simulation Multivariate Laplace random values simulation
Multivariate normal and t random values simulation Multivariate normal and t random values simulation
Many 2 sample t-tests Many 2 sample tests t-tests
Many univariate generalised linear models Many univariate generalised linear regressions
Sort a vector coresponding to another Sort
MLE of the zero inflated and zero truncated Poisson MLE of the zero inflated and zero truncated Poisson
Index of the columns of a data.frame which are factor variables Index of the columns of a data.frame which are factor variables
Sorting of the columns of a matrix Sorting of the columns of a matrix
Many multivariate simple linear regressions coefficients Many multivariate simple linear regressions coefficients
minimum and maximum Minimum and maximum of a vector
Row-wise minimum and maximum Row-wise minimum and maximum of a matrix.
Sort and unique numbers Sort and unique
Many score based GLM regressions Many score based GLM regressions
Standardisation Standardisation
Angular central Gaussian random values simulation Angular central Gaussian random values simulation
Many 2 sample proportions tests Many 2 sample proportions tests
Column and row-wise sums of a matrix Column and row-wise sums of a matrix
Column and row-wise range of values of a matrix Column and row-wise range of values of a matrix.
Column-wise minimum and maximum Column-wise minimum and maximum of a matrix
Many simple linear regressions coefficients Simple linear regressions coefficients
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Details

Type Package
Date 2016-12-16
LinkingTo Rcpp (>= 0.12.3), RcppArmadillo
SystemRequirements C++11
License GPL-2
LazyData TRUE
NeedsCompilation yes
Packaged 2016-12-16 14:55:42 UTC; MANOS
Repository CRAN
Date/Publication 2016-12-18 11:50:33

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