Package: DataClean 1.0.1

DataClean: Data Cleaning

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.

Authors:Xiaorui Zhu

DataClean_1.0.1.tar.gz
DataClean_1.0.1.zip(r-4.5)DataClean_1.0.1.zip(r-4.4)DataClean_1.0.1.zip(r-4.3)
DataClean_1.0.1.tgz(r-4.5-any)DataClean_1.0.1.tgz(r-4.4-any)DataClean_1.0.1.tgz(r-4.3-any)
DataClean_1.0.1.tar.gz(r-4.5-noble)DataClean_1.0.1.tar.gz(r-4.4-noble)
DataClean_1.0.1.tgz(r-4.4-emscripten)DataClean_1.0.1.tgz(r-4.3-emscripten)
DataClean.pdf |DataClean.html✨
DataClean/json (API)

# Install 'DataClean' in R:
install.packages('DataClean', repos = c('https://xiaoruizhu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xiaoruizhu/dataclean/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

2.70 score 4 scripts 174 downloads 1 mentions 3 exports 4 dependencies

Last updated 7 years agofrom:57006a91b6. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winOKMar 20 2025
R-4.5-macOKMar 20 2025
R-4.5-linuxOKMar 20 2025
R-4.4-winOKMar 20 2025
R-4.4-macOKMar 20 2025
R-4.4-linuxOKMar 20 2025
R-4.3-winOKMar 20 2025
R-4.3-macOKMar 20 2025

Exports:getSfilesPathhtmltodataMergerXLSX

Dependencies:rJavaxlsxxlsxjarsXML