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Package: epiCleanr 0.2.0

Mohamed A. Yusuf

epiCleanr: A Tidy Solution for Epidemiological Data

Offers a tidy solution for epidemiological data. It houses a range of functions for epidemiologists and public health data wizards for data management and cleaning.

Authors:Mohamed A. Yusuf [aut, cre]

epiCleanr_0.2.0.tar.gz
epiCleanr_0.2.0.zip(r-4.7-any)epiCleanr_0.2.0.zip(r-4.6-any)epiCleanr_0.2.0.zip(r-4.5-any)
epiCleanr_0.2.0.tgz(r-4.6-any)epiCleanr_0.2.0.tgz(r-4.5-any)
epiCleanr_0.2.0.tar.gz(r-4.7-any)epiCleanr_0.2.0.tar.gz(r-4.6-any)
epiCleanr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
epiCleanr/json (API)

# Install 'epiCleanr' in R:

install.packages('epiCleanr', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/truenomad/epicleanr/issues

Pkgdown/docs site:https://truenomad.github.io

On CRAN:

2.70 score 5 scripts 37 downloads 9 exports 57 dependencies

Last updated from:efc4192d24. Checks:7 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel	NOTE	156
source / vignettes	OK	274
linux-release	NOTE	183
macos-release	NOTE	93
macos-oldrel	NOTE	126
windows-devel	NOTE	105
windows-release	NOTE	91
windows-oldrel	NOTE	94
wasm-release	OK	148

Exports:clean_admin_names clean_names_strings consistency_check create_test export get_admin_names handle_outliers import missing_plot

Dependencies:bit bit64 cellranger cli clipr countrycode cpp11 crayon curl data.table dplyr farver forcats foreign generics ggplot2 glue gtable haven hms isoband janitor labeling lifecycle lubridate magrittr pillar pkgconfig prettyunits progress purrr R.methodsS3 R.oo R.utils R6 RColorBrewer readr readxl rematch rio rlang S7 scales snakecase stringi stringr tibble tidyr tidyselect timechange tzdb utf8 vctrs viridisLite vroom withr writexl

Using epiCleanr

Rendered fromusing_epicleanr.Rmdusingknitr::rmarkdown

Last update: 2023-09-10
Started: 2023-09-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Clean and Match Administrative Names	clean_admin_names
Clean variable names or column names in various styles	clean_names_strings
Consistency Check Function	consistency_check
Create Test Function	create_test
Export Data to Various File Formats	export
Retrieve Administrative Names from GeoNames	get_admin_names
Detect and Handle Outliers in Dataset	handle_outliers
Import Data from Various File Formats	import
Plot Missing data over time	missing_plot