eHDPrep
Electronic Health Data Preparation (eHDPrep) R package
Science Score: 36.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.9%) to scientific vocabulary
Keywords
data-quality
health-informatics
r
semantic-enrichment
Last synced: 6 months ago
·
JSON representation
Repository
Electronic Health Data Preparation (eHDPrep) R package
Basic Info
Statistics
- Stars: 8
- Watchers: 0
- Forks: 2
- Open Issues: 0
- Releases: 2
Topics
data-quality
health-informatics
r
semantic-enrichment
Created over 3 years ago
· Last pushed 6 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# eHDPrep
[](https://cranlogs.r-pkg.org/badges/grand-total/eHDPrep)
[](https://cran.r-project.org/package=eHDPrep)
[](https://github.com/overton-group/eHDPrep/actions/workflows/r.yml/badge.svg)
The goal of 'eHDPrep' is to provide robust quality control and semantic enrichment tools for preparation of health datasets. High-level and low-level functionality are included for general and specialist 'R' users, respectively. A detailed vignette can be accessed using: `vignette("Introduction_to_eHDPrep", package = "eHDPrep")`.
## Installation
You can install the released version of 'eHDPrep' from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("eHDPrep")
```
Or from [GitHub](https://github.com) with:
``` r
install.packages("devtools")
devtools::install_github("overton-group/eHDPrep")
```
## Example
'eHDPrep' can prepare health data for analysis with several approaches. For example, standardising strings representing missing values to `NA`:
```{r example}
library(eHDPrep)
data("example_data")
# original values in t_stage variable
unique(example_data$t_stage)
# predefined value "equivocal" is removed
unique(eHDPrep::strings_to_NA(example_data, strings_to_replace = "equivocal")$t_stage)
```
## System Requirements
Some additional system dependencies are required for 'eHDPrep'. These are detailed below:
### Ubuntu
```{r ubuntu-req}
remotes::system_requirements(".", os = "ubuntu", os_release = "18.04")
remotes::system_requirements(".", os = "ubuntu", os_release = "20.04")
```
### Opensuse
```{r opensuse-req}
remotes::system_requirements(".", os = "opensuse", os_release = "42.3")
```
### CentOS
```{r centos-req}
remotes::system_requirements(".", os = "centos", os_release = "7")
remotes::system_requirements(".", os = "centos", os_release = "8")
```
### Red Hat
```{r redhat-req}
remotes::system_requirements(".", os = "redhat", os_release = "7")
remotes::system_requirements(".", os = "redhat", os_release = "8")
```
Owner
- Name: overton-group
- Login: overton-group
- Kind: organization
- Repositories: 2
- Profile: https://github.com/overton-group
GitHub Events
Total
- Delete event: 1
- Member event: 1
- Push event: 1
- Fork event: 1
Last Year
- Delete event: 1
- Member event: 1
- Push event: 1
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Tom Toner | t****3@q****k | 70 |
| DavisVaughan | d****s@r****m | 2 |
| Hadley Wickham | h****m@g****m | 1 |
Committer Domains (Top 20 + Academic)
rstudio.com: 1
qub.ac.uk: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: 1 day
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.33
- Merged pull requests: 3
- 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
- tommtoner (1)
- hadley (1)
- DavisVaughan (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 172 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: eHDPrep
Quality Control and Semantic Enrichment of Datasets
- Homepage: https://github.com/overton-group/eHDPrep
- Documentation: http://cran.r-project.org/web/packages/eHDPrep/eHDPrep.pdf
- License: GPL-3
-
Latest release: 1.3.4
published 6 months ago
Rankings
Forks count: 17.8%
Stargazers count: 22.5%
Dependent packages count: 29.8%
Average: 34.3%
Dependent repos count: 35.5%
Downloads: 65.8%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.6.0 depends
- dplyr >= 1.0.3 imports
- forcats >= 0.5.0 imports
- ggplot2 >= 3.3.3 imports
- igraph >= 1.2.6 imports
- kableExtra >= 1.3.1 imports
- knitr >= 1.31 imports
- magrittr >= 2.0.1 imports
- pheatmap >= 1.0.12 imports
- purrr >= 0.3.4 imports
- quanteda >= 2.1.2 imports
- readr >= 1.4.0 imports
- readxl >= 1.3.1 imports
- rlang >= 0.4.10 imports
- scales >= 1.1.1 imports
- stringr >= 1.4.0 imports
- tibble >= 3.0.5 imports
- tidygraph >= 1.2.0 imports
- tidyr >= 1.1.2 imports
- tm >= 0.7 imports
- ggraph >= 2.0.5 suggests
- testthat >= 2.1.0 suggests
.github/workflows/r.yml
actions
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r f57f1301a053485946083d7a45022b278929a78a composite