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DataPackageR  

Construct Reproducible Analytic Data Sets as R Packages
View on CRAN: Click here


Download and install DataPackageR package within the R console
Install from CRAN:
install.packages("DataPackageR")

Install from Github:
library("remotes")
install_github("cran/DataPackageR")

Install by package version:
library("remotes")
install_version("DataPackageR", "0.16.2")



Attach the package and use:
library("DataPackageR")
Maintained by
Dave Slager
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-16
Latest Update: 2024-09-17
Description:
A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual 'R CMD build' process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on 'GitHub', and used to share data for manuscripts, collaboration and reproducible research.
How to cite:
Dave Slager (2018). DataPackageR: Construct Reproducible Analytic Data Sets as R Packages. R package version 0.16.2, https://cran.r-project.org/web/packages/DataPackageR. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.15.1 (2018-08-16 14:00), 0.15.2 (2018-08-18 00:00), 0.15.3 (2018-08-24 01:46), 0.15.4 (2018-10-24 22:20), 0.15.5 (2019-03-11 21:43), 0.15.6 (2019-03-13 22:14), 0.15.7 (2019-03-30 18:40), 0.15.8 (2021-03-17 10:50), 0.15.9 (2024-04-17 08:50), 0.16.0 (2024-06-03 09:59), 0.16.1 (2024-09-17 19:50)
Other packages that cited DataPackageR R package
View DataPackageR citation profile
Other R packages that DataPackageR depends, imports, suggests or enhances
Complete documentation for DataPackageR
Functions, R codes and Examples using the DataPackageR R package
Full DataPackageR package functions and examples
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