rrandvec

Generate pseudo-random vectors whose elements sum of to one

https://github.com/jakobbossek/rrandvec

Science Score: 13.0%

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    Low similarity (13.8%) to scientific vocabulary

Keywords

r-package random-vector
Last synced: 9 months ago · JSON representation

Repository

Generate pseudo-random vectors whose elements sum of to one

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  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
r-package random-vector
Created about 5 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---

# rrandvec: Random Vectors that sum up to one

**Visit the [package website](https://jakobbossek.github.io/rrandvec/).**


[![R-CMD-check](https://github.com/jakobbossek/rrandvec/workflows/R-CMD-check/badge.svg)](https://github.com/jakobbossek/rrandvec/actions)
[![CRAN Status Badge](http://www.r-pkg.org/badges/version/rrandvec)](https://CRAN.R-project.org/package=rrandvec)
[![CRAN Downloads](http://cranlogs.r-pkg.org/badges/rrandvec)](https://CRAN.R-project.org/package=rrandvec)
[![CRAN Downloads](http://cranlogs.r-pkg.org/badges/grand-total/rrandvec?color=orange)](https://CRAN.R-project.org/package=rrandvec)
[![Codecov test coverage](https://codecov.io/gh/jakobbossek/rrandvec/branch/main/graph/badge.svg)](https://app.codecov.io/gh/jakobbossek/rrandvec?branch=main)



## What is this all about?

Offers a single method to generate random vectors whose components sum of to one. Several methods are available. The implementation is done in C++ (via [Rcpp](https://www.rcpp.org)) for performance reasons.

## Installation Instructions

The package can be installed from [CRAN](https://cran.r-project.org). To install the dev-version ufrom github use the [devtools](https://github.com/r-lib/devtools) package and type the following command in R:

```r
devtools::install_github("jakobbossek/rrandvec")
```

## Example

Assume we aim to generate `n=250` vectors in `d=3` dimensions where the components of each vector follow the same distribution. This can be achieved, e.g., by the following command:

```r
library(rrandvec)
library(scatterplot3d)
x = rrandvec(n = 250, d = 3, method = "exponential")
scatterplot3d(x[, 1:3], angle = 120, pch = 4, color = "blue", cex.symbols = 0.7, xlab = expression(x[1]), ylab = expression(x[2]), zlab = expression(x[3]))
```

## Contact

To report bugs or ask questions please use the [issue tracker](https://github.com/jakobbossek/rrandvec/issues). Pay attention to explain the problem as good as possible. At its best you provide an example, so I can reproduce your problem quickly.



Owner

  • Name: Jakob Bossek
  • Login: jakobbossek
  • Kind: user
  • Location: Germany
  • Company: RWTH Aachen University

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Packages

  • Total packages: 1
  • Total downloads:
    • cran 185 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: rrandvec

Generate Random Vectors Whose Components Sum Up to One

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 185 Last month
Rankings
Dependent packages count: 29.8%
Dependent repos count: 35.4%
Average: 51.6%
Downloads: 89.7%
Maintainers (1)
Last synced: 10 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/upload-artifact main composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
.github/workflows/pkgdown.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
.github/workflows/test-coverage.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 3.1.0 depends
  • Rcpp * imports
  • checkmate * imports
  • covr * suggests
  • scatterplot3d * suggests
  • testthat * suggests