Package: sivirep 1.0.1
sivirep: Data Wrangling and Automated Reports from 'SIVIGILA' Source
Data wrangling, pre-processing, and generating automated reports from Colombia's epidemiological surveillance system, 'SIVIGILA' <https://portalsivigila.ins.gov.co/>. It provides a customizable R Markdown template for analysis and automatic generation of epidemiological reports that can be adapted to local, regional, and national contexts. This tool offers a standardized and reproducible workflow that helps to reduce manual labor and potential errors in report generation, improving their efficiency and consistency.
Authors:
sivirep_1.0.1.tar.gz
sivirep_1.0.1.zip(r-4.5)sivirep_1.0.1.zip(r-4.4)sivirep_1.0.1.zip(r-4.3)
sivirep_1.0.1.tgz(r-4.4-any)sivirep_1.0.1.tgz(r-4.3-any)
sivirep_1.0.1.tar.gz(r-4.5-noble)sivirep_1.0.1.tar.gz(r-4.4-noble)
sivirep_1.0.1.tgz(r-4.4-emscripten)sivirep_1.0.1.tgz(r-4.3-emscripten)
sivirep.pdf |sivirep.html✨
sivirep/json (API)
NEWS
# Install 'sivirep' in R: |
install.packages('sivirep', repos = c('https://epiverse-trace.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epiverse-trace/sivirep/issues
Pkgdown:https://epiverse-trace.github.io
- dengue2020 - Datos Dengue 2020 del SIVIGILA en sivirep
- divipoladata - Códigos e información geografica del DIVIPOLA en sivirep
colombiaepidemiological-surveillanceepiversepublic-health
Last updated 4 days agofrom:15e01fb062. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-win | OK | Dec 04 2024 |
R-4.5-linux | OK | Dec 04 2024 |
R-4.4-win | NOTE | Dec 04 2024 |
R-4.4-mac | NOTE | Dec 04 2024 |
R-4.3-win | NOTE | Dec 04 2024 |
R-4.3-mac | NOTE | Dec 04 2024 |
Exports:agrupar_area_geoagrupar_cols_casosagrupar_dptoagrupar_edadagrupar_edad_sexagrupar_eventosagrupar_fecha_inisintomasagrupar_mpioagrupar_per_etnagrupar_rango_edadagrupar_semanaepiagrupar_sexagrupar_sex_semanaepiagrupar_tipo_casoagrupar_top_area_geoagrupar_yearscalcular_incidenciacalcular_incidencia_geocalcular_incidencia_sexconvert_edadestandarizar_geo_codsgeo_filtroimport_data_eventimport_geo_codsimport_pob_incidenciaimport_pob_proyeccionesimport_pob_riesgolimpiar_data_sivigilalimpiar_edad_eventlimpiar_encabezadolimpiar_fecha_eventlimpiar_val_atipiclist_eventsobtener_cond_inciden_eventobtener_dptosobtener_fila_mas_casosobtener_info_deptsobtener_meses_mas_casosobtener_nombre_dptoobtener_nombre_mpioobtener_text_sexobtener_tip_ocurren_geoobtener_val_configplot_area_geoplot_dptosplot_edadplot_edad_sexplot_fecha_inisintomasplot_mapplot_mpiosplot_per_etnplot_sexplot_sex_semanaepiplot_tabla_incidencia_geoplot_tabla_incidencia_sexplot_tabla_tipos_eventplot_tipo_casoplot_tipo_caso_yearsplot_top_area_geoplot_years
Dependencies:askpassbase64encbslibcachemcellrangerclassclassIntclicolorspaceconfigcpp11crayoncurlDBIdigestdistcretedplyre1071epitrixevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshttr2isobandjquerylibjsonlitekableExtraKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigprettyunitsprogressproxypurrrR6rappdirsRColorBrewerRcppreadxlrematchrlangrmarkdownrstudioapis2sassscalessfshowtextshowtextdbsodiumstringistringrsvglitesyssysfontssystemfontstibbletidyrtidyselecttinytexunitsutf8vctrsviridisLitewithrwkxfunxml2yaml