Provides a streamlined workflow for cleaning, transforming, filtering, aggregating, and exporting epidemiological line list data. The package is designed for public health surveillance and clinical datasets where each row represents an individual case. It supports common data-wrangling tasks and multi-format data import/export (e.g., 'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are designed to be combined into a clear and reproducible pipeline while remaining flexible enough for use in standalone data-processing steps. 'data4health' is part of the '4health' toolkit, which integrates health, climate, land-use, and socioeconomic data workflows. More information on the '4health' tools can be found on the HARMONIZE website <https://harmonize-tools.org/toolkits>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.2.0) |
| Imports: | foreign, readxl, writexl, shiny, jsonlite, GHRexplore, lubridate, plotly, shinyAce |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), shinytest2, withr |
| Published: | 2026-07-07 |
| DOI: | 10.32614/CRAN.package.data4health (may not be active yet) |
| Author: | Daniela Lührsen |
| Maintainer: | Daniela Lührsen <daniela.luhrsen at bsc.es> |
| BugReports: | https://gitlab.earth.bsc.es/ghr/data4health/-/issues |
| License: | AGPL (≥ 3) |
| URL: | https://bsc-es.github.io/GHRtools/docs/data4health/data4health.html |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | data4health results |
| Reference manual: | data4health.html , data4health.pdf |
| Vignettes: |
How to access Health Data (source, R code) Getting Started with data4health: A Practical Workflow for Health Data Wrangling (source, R code) |
| Package source: | data4health_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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