invitroTKdata

This is an R data package containing a collection of in vitro toxicokinetic datasets (related to manuscripts) processed with the invitroTKstats R package.

https://github.com/usepa/invitrotkdata

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.0%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

This is an R data package containing a collection of in vitro toxicokinetic datasets (related to manuscripts) processed with the invitroTKstats R package.

Basic Info
  • Host: GitHub
  • Owner: USEPA
  • License: other
  • Language: R
  • Default Branch: main
  • Size: 4.24 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# invitroTKdata




## Welcome to the GitHub repository for the invitroTKdata package

The `invitroTKdata` R package contains a collection of datasets containing a variety of *in vitro* toxicokinetic measurements including -- but not limited to -- chemical fraction unbound in the presence of plasma ($f_{up}$), intrinsic hepatic clearance ($Cl_{int}$), and membrane permeability for oral absorption (Caco2). The datasets provided by the package were processed and analyzed with the companion `invitroTKstats` package

**Notification:** *Datasets within this package have all been processed with various prototype versions of the `invitroTKstats` R package. We refer users to the [`invitroTKstats` R package](https://github.com/USEPA/invitroTKstats.git) and [invitrotkstats_dataproc](https://github.com/USEPA/invitrotkstats_dataproc.git) GitHub pages to obtain the latest version of the package and original raw data/processing scripts, respectively.*

If you are interested in contributing or want to report a bug, please submit an issue or start a discussion.

### Installation

* Installing the current version of the package from GitHub, run the following command:

```r
devtools::install_github("https://github.com/USEPA/invitroTKdata.git")
```

* Installing a local clone of the GitHub repo:

  1. Go to the GitHub repo for [`invitroTKdata`](https://github.com/USEPA/invitroTKdata.git).
  2. Choose the "Code" button and copy the repo URL.
  3. In your local command line terminal, navigate to the directory location you wish to store your local copy of the repo.
  4. In your terminal type `git clone https://github.com/USEPA/invitroTKdata.git`.
  5. After cloning completes then open an R session.
  6. In the R console use the following commands:
  
```r
devtools::install_local(
  "/invitroTKdata"
)
```

* Installing a tarball version of the package:

  1. Save the tarball file "invitroTKdata_X.Y.Z.tar.gz" to a local directory location.
  2. Install the package via the RStudio provided 'Install Packages' menu under the 'Tools' tab, or using the command line terminal with the following:
  
```
R CMD INSTALL /invitroTKdata_X.Y.Z.tar.gz
```

*NOTE: “X.Y.Z” in the tarball filename indicates the version number associated with the version of the package you wish to install.*

### Loading the Package

To load the `invitroTKdata` data R package into your local R session via the R console:

```r
library(invitroTKdata)
```

Check the package version installed and in use:

```r
packageVersion("invitroTKdata")
```

## Contributors

* Sarah E. Davidson-Fritz (Conceptualization & Lead Package Developer)
* John Wambaugh (Conceptualization, Data Processing, & Subject Matter Expert)
* Lindsay Knupp (Software Development)
* Barbara A. Wetmore (Raw Data Generation & Subject Matter Expert)
* Anna Kreutz (Raw Data Generation)
* Marci Smeltz (Raw Data Generation)
* David Crizer (Raw Data Generation)

## Disclaimer

The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.

Owner

  • Name: U.S. Environmental Protection Agency
  • Login: USEPA
  • Kind: organization
  • Location: United States of America

GitHub Events

Total
  • Issue comment event: 5
  • Push event: 4
  • Public event: 1
  • Pull request review event: 2
Last Year
  • Issue comment event: 5
  • Push event: 4
  • Public event: 1
  • Pull request review event: 2

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 3
  • Total Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
knuppla k****y@e****v 2
Sarah E. Davidson-Fritz 7****1 1
Committer Domains (Top 20 + Academic)
epa.gov: 1

Issues and Pull Requests

Last synced: 12 months ago

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: invitroTKdata

In Vitro Toxicokinetic Data Processed with the 'invitroTKstats' Pipeline

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 0 Last month
Rankings
Dependent packages count: 25.7%
Dependent repos count: 31.6%
Average: 47.6%
Downloads: 85.4%
Maintainers (1)
Last synced: 12 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • Rdpack * imports