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DataClean  

Data Cleaning
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]
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. Accessed 21 Nov. 2024.
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
Complete documentation for DataClean
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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