Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (20.1%) to scientific vocabulary
Last synced: 11 months ago
·
JSON representation
Repository
Tabular Data Backed by Partitioned `fst` Files
Basic Info
- Host: GitHub
- Owner: nbenn
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://nbenn.github.io/prt/
- Size: 390 KB
Statistics
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 2
- Releases: 0
Created over 6 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output:
github_document:
html_preview: false
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
library(prt)
```
# prt
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
[](https://app.codecov.io/gh/nbenn/prt)
[](https://github.com/nbenn/prt/actions?query=workflow%3Abuild)
[](https://github.com/nbenn/prt/actions?query=workflow%3Apkgdown)
[](https://github.com/nbenn/prt/actions?query=workflow%3Acoverage)
Building on `data.frame` serialization provided by [`fst`](https://www.fstpackage.org), `prt` offers an interface for working with partitioned `data.frame`s, saved as individual `fst` files.
## Installation
You can install the development version of [prt](https://nbenn.github.io/prt/) from GitHub by running
```{r gh-dev, eval = FALSE}
source("https://install-github.me/nbenn/prt")
```
Alternatively, if you have the `remotes` package available, the latest release is available by calling `install_github()` as
```{r gh-rel, eval = FALSE}
# install.packages("remotes")
remotes::install_github("nbenn/prt@*release")
```
## Short demo
Creating a `prt` object can be done either by calling `new_prt()` on a list of previously created `fst` files or by coercing a `data.frame` object to `prt` using `as_prt()`.
```{r create}
tmp <- tempfile()
dir.create(tmp)
flights <- as_prt(nycflights13::flights, n_chunks = 2L, dir = tmp)
print(flights)
```
In case a `prt` object is created from a `data.frame`, the specified number of files is written to the directory of choice (a newly created directory within `tempdir()` by default).
```{r inspect}
list.files(tmp)
```
Subsetting and printing is closely modeled after `tibble` and behavior that deviates from that of `tibble` will most likely be considered a bug (please [report](https://github.com/nbenn/prt/issues/new)). Some design choices that do set a `prt` object apart from a `tibble` include the use of `data.table`s for any result of a subsetting operation and the complete disregard for `row.names`.
In addition to standard subsetting operations involving the functions `[`(), `[[`() and `$`(), the base generic function `subset()` is implemented for the `prt` class, enabling subsetting operations using non-standard evaluation. Combined with random access to tables stored as `fst` files, this can make data access more efficient in cases where only a subset of the data is of interest.
```{r subset}
jan <- flights[flights$month == 1, ]
identical(jan, subset(flights, month == 1))
print(jan)
```
A subsetting operation on a `prt` object yields a `data.table`. If the full table is of interest, a `prt`-specific implementation of the `as.data.table()` generic is available.
```{r cleanup}
unlink(tmp, recursive = TRUE)
```
Owner
- Name: nbenn
- Login: nbenn
- Kind: user
- Location: Zürich
- Company: @cynkra
- Repositories: 24
- Profile: https://github.com/nbenn
GitHub Events
Total
- Create event: 1
Last Year
- Create event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nicolas Bennett | n****t@s****h | 86 |
| Kirill Müller | k****r@m****g | 1 |
Committer Domains (Top 20 + Academic)
mailbox.org: 1
stat.math.ethz.ch: 1
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 7
- Total pull requests: 1
- Average time to close issues: 4 months
- Average time to close pull requests: 1 day
- Total issue authors: 5
- Total pull request authors: 1
- Average comments per issue: 1.14
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- nbenn (2)
- krlmlr (2)
- barracuda156 (1)
- mattdowle (1)
- DarwinAwardWinner (1)
Pull Request Authors
- krlmlr (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- cran 455 last-month
-
Total dependent packages: 2
(may contain duplicates) -
Total dependent repositories: 2
(may contain duplicates) - Total versions: 9
- Total maintainers: 1
cran.r-project.org: prt
Tabular Data Backed by Partitioned 'fst' Files
- Homepage: https://nbenn.github.io/prt/
- Documentation: http://cran.r-project.org/web/packages/prt/prt.pdf
- License: GPL-3
-
Latest release: 0.2.1
published 11 months ago
Rankings
Dependent packages count: 18.2%
Dependent repos count: 19.2%
Stargazers count: 20.6%
Forks count: 21.0%
Average: 21.0%
Downloads: 26.2%
Maintainers (1)
Last synced:
11 months ago
conda-forge.org: r-prt
Intended for larger-than-memory tabular data, 'prt' objects provide an interface to read row and/or column subsets into memory as data.table objects. Data queries, constructed as 'R' expressions, are evaluated using the non-standard evaluation framework provided by 'rlang' and file-backing is powered by the fast and efficient 'fst' package.
- Homepage: https://github.com/nbenn/prt/
- License: GPL-3.0-only
-
Latest release: 0.1.5
published almost 4 years ago
Rankings
Dependent packages count: 28.8%
Dependent repos count: 34.0%
Average: 43.7%
Stargazers count: 54.5%
Forks count: 57.4%
Last synced:
11 months ago
Dependencies
DESCRIPTION
cran
- assertthat * imports
- backports * imports
- cli * imports
- crayon * imports
- data.table * imports
- fansi * imports
- fst * imports
- pillar * imports
- rlang * imports
- tibble * imports
- utils * imports
- vctrs * imports
- bench * suggests
- covr * suggests
- datasets * suggests
- knitr * suggests
- nycflights13 * suggests
- rmarkdown * suggests
- testthat * suggests
- withr * suggests
- xml2 * suggests
.github/workflows/build.yaml
actions
- actions/checkout v2 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
.github/workflows/coverage.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action 4.1.4 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite