# Rfast v1.7.3

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## 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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## Last month downloads

## 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 |

depends | R (>= 3.2.2) , Rcpp (>= 0.12.3) , RcppZiggurat |

linkingto | RcppArmadillo |

Contributors | John Burkardt, Ioannis Tsamardinos, Giorgos Borboudakis, Matteo Fasiolo, Michail Tsagris, Manos Papadakis |

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