Science Score: 23.0%
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○Scientific vocabulary similarity
Low similarity (14.5%) to scientific vocabulary
Keywords
degrees
donut
edges
knn-algorithm
knn-search
nabor
nearest
nearest-neighbor
nearest-neighbor-search
nearest-neighbors
nearest-neighbour-algorithm
nearest-neighbours
neighbors
periodicity
rann
torus
wrap
Last synced: 6 months ago
·
JSON representation
Repository
Nearest Neighbour Search with Variables on a Torus
Basic Info
- Host: GitHub
- Owner: paulnorthrop
- Language: R
- Default Branch: master
- Homepage: https://paulnorthrop.github.io/donut/
- Size: 1.12 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 4
Topics
degrees
donut
edges
knn-algorithm
knn-search
nabor
nearest
nearest-neighbor
nearest-neighbor-search
nearest-neighbors
nearest-neighbour-algorithm
nearest-neighbours
neighbors
periodicity
rann
torus
wrap
Created over 6 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Changelog
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```
# donut
[](https://ci.appveyor.com/project/paulnorthrop/donut)
[](https://github.com/paulnorthrop/donut/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/github/paulnorthrop/donut?branch=master)
[](https://cran.r-project.org/package=donut)
[](https://cran.r-project.org/package=donut)
[](https://cran.r-project.org/package=donut)
## Nearest Neighbour Search with Variables on a Torus
### What does donut do?
There are several R packages, such as [RANN](https://cran.r-project.org/package=RANN) and [nabor](https://cran.r-project.org/package=nabor) that find the $k$ nearest neighbours in a dataset of specified query points, based on some metric, such as L2 or L1. The donut package considers the situation where one or more of the variables in the dataset is periodic on a finite interval. For example, direction is periodic on the interval $(0, 360)$ degrees. In the small dataset $\{10, 90, 350\}$ degrees 350 is closer to 10 than is 90: 10 and 350 are separated by 20 degrees, 10 and 90 by 80 degrees.
The function `nnt()` finds the $k$ nearest neighbours of each of a set of points of interest, wrapping periodic variables on a torus so that this periodicity is reflected. The user chooses the function to use to find the nearest neighbours. The nearest neighbour functions from the aforementioned packages are used as examples.
### An example
We use a simple example from the `RANN:nn2()` documentation. We suppose that both variables should be wrapped, on the ranges $(0, 2\pi)$ and $(0, 3)$ respectively. We choose the query points of interest to illustrate the wrapping of the variables. In the plot, query points are indicated with colour-coded crosses and the 8 nearest neighbours of each point are shaded in the same colour. By default `nnt()` uses the function `RANN::nn2()` (based on the L2 metric) to find the nearest neighbours.
```{r, echo = FALSE}
got_RANN <- requireNamespace("RANN", quietly = TRUE)
```
```{r example, eval = got_RANN}
library(donut)
set.seed(20092019)
x1 <- runif(100, 0, 2 * pi)
x2 <- runif(100, 0, 3)
DATA <- data.frame(x1, x2)
ranges <- rbind(c(0, 2 * pi), c(0, 3))
query <- rbind(c(6, 1.3), c(2 * pi, 3), c(3, 1.5), c(4, 0))
library(RANN)
res2 <- nnt(DATA, query, k = 8, torus = 1:2, ranges = ranges)
plot(res2)
```
### Installation
To get the current released version from CRAN:
```{r installation, eval = FALSE}
install.packages("donut")
```
### Vignette
See `vignette("donut-vignette", package = "donut")` for an overview of the package.
Owner
- Name: Paul Northrop
- Login: paulnorthrop
- Kind: user
- Repositories: 17
- Profile: https://github.com/paulnorthrop
GitHub Events
Total
Last Year
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Paul Northrop | p****p@u****k | 146 |
Committer Domains (Top 20 + Academic)
ucl.ac.uk: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 403 last-month
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: donut
Nearest Neighbour Search with Variables on a Torus
- Homepage: https://github.com/paulnorthrop/donut
- Documentation: http://cran.r-project.org/web/packages/donut/donut.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
-
Latest release: 1.0.3
published over 2 years ago
Rankings
Dependent packages count: 18.7%
Downloads: 19.8%
Average: 27.6%
Forks count: 28.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.3.0 depends
- graphics * imports
- RANN * suggests
- knitr * suggests
- nabor * suggests
- rmarkdown * suggests
- testthat >= 2.1.0 suggests
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite