Other packages > Find by keyword >

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", "0.16.0")



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: 2024-04-17
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 0.16.0, https://cran.r-project.org/web/packages/DataPackageR
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)
Other packages that cited DataPackageR R package
View DataPackageR citation profile
Other R packages that DataPackageR depends, imports, suggests or enhances
Functions, R codes and Examples using the DataPackageR R package
Full DataPackageR package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

DelayedEffect.Design  
Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods
Provides sample size and power calculations when the treatment time-lag effect is present and the la ...
Download / Learn more Package Citations See dependency  
MPCI  
Multivariate Process Capability Indices (MPCI)
It performs the followings Multivariate Process Capability Indices: Shahriari et al. (1995) Multivar ...
Download / Learn more Package Citations See dependency  
PCL  
Proximal Causal Learning
We fit causal models using proxies. We implement two stage proximal least squares estimator. E.J. Tc ...
Download / Learn more Package Citations See dependency  
largeList  
Serialization Interface for Large List Objects
Functions to write or append a R list to a file, as well as read, remove, modify elements from it wi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
interplex  
Coercion Methods for Simplicial Complex Data Structures
Computational topology, which enables topological data analysis (TDA), makes pervasive use of abstr ...
Download / Learn more Package Citations See dependency  

22,431

R Packages

191,269

Dependencies

56,139

Author Associations

22,432

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns