The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Includes functions that researchers or practitioners may use to clean raw data, transferring html, xlsx, txt data file into other formats. And it also can be used to manipulate text variables, extract numeric variables from text variables and other variable cleaning processes. It is originated from a author's project which focuses on creative performance in online education environment. The resulting paper of that study will be published soon.
Version: | 1.0 |
Depends: | R (≥ 3.1.0) |
Imports: | xlsx, XML |
Published: | 2016-03-25 |
DOI: | 10.32614/CRAN.package.DataClean |
Author: | Xiaorui(Jeremy) Zhu |
Maintainer: | Xiaorui(Jeremy) Zhu <zhuxiaorui1989 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | DataClean results |
Reference manual: | DataClean.pdf |
Package source: | DataClean_1.0.tar.gz |
Windows binaries: | r-devel: DataClean_1.0.zip, r-release: DataClean_1.0.zip, r-oldrel: DataClean_1.0.zip |
macOS binaries: | r-release (arm64): DataClean_1.0.tgz, r-oldrel (arm64): DataClean_1.0.tgz, r-release (x86_64): DataClean_1.0.tgz, r-oldrel (x86_64): DataClean_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DataClean to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.