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DataClean
View on CRAN: Click
here
Download and install DataClean package within the R console
Install from CRAN:
install.packages("DataClean")
Install from Github:
library("remotes")
install_github("cran/DataClean")
Install by package version:
library("remotes")
install_version("DataClean", "1.0")
Attach the package and use:
library("DataClean")
Maintained by
Xiaorui(Jeremy) Zhu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-25
Latest Update: 2016-03-25
Description:
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.
How to cite:
Xiaorui(Jeremy) Zhu (2016). DataClean: Data Cleaning. R package version 1.0, https://cran.r-project.org/web/packages/DataClean
Previous versions and publish date:
No previous versions
Other packages that cited DataClean R package
View DataClean citation profile
Other R packages that DataClean depends,
imports, suggests or enhances
Functions, R codes and Examples using
the DataClean R package
Some associated functions: MergerXLSX . consolida . getSfilesPath . htmltodata .
Some associated R codes: MergerXLSX.R . consolida.R . getSfilesPath.R . htmltodata.R . Full DataClean package functions and examples
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