项目作者: DecosterRemi

项目描述 :
Clustering evaluation package
高级语言: R
项目地址: git://github.com/DecosterRemi/ClusterCharPlot.git
创建时间: 2020-12-02T13:03:11Z
项目社区:https://github.com/DecosterRemi/ClusterCharPlot

开源协议:

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ClusterCharPlot

Aim

Univariate and multivariate characterization of a clustering process with ggplot2. Calculate partition evaluation measures.

Installation

After unzipping the project, open it with RStudio.
Please first install devtools and roxygen2 to build the package:

  1. install.packages("roxygen2");
  2. install.packages("devtools");
  3. install.packages("dplyr");
  4. install.packages("scales");
  5. install.packages("tibble");
  6. install.packages('stats');
  7. install.packages('caret');
  8. install.packages('e1071');
  9. install.packages('rlist');
  10. install.packages('ggplot2');
  11. install.packages('ggrepel');
  12. install.packages('ggforce');
  13. install.packages('gridExtra');
  14. install.packages('creditmodel');
  15. install.packages("FactoMineR");
  16. devtools::install_github("ricardo-bion/ggradar",
  17. dependencies = TRUE);

Then within RStudio, please go to Build —> Configure Build Tools…, then tick “Generate documentation with Roxygen”.
Roxygen Options pop up must appear (otherwise click on Configure…). Tick “Install and Restart” or “Build & Reload” according to your RStudio version.
Finally, build the project with “Clean and Rebuild” and you are all set up. If you encounter troubles during the installation, please try to run R roxygen2::roxygenise();, it might solve some of them.

You can now use our functions anywhere by loading our package with:

  1. library(ClusterCharPlot);

And test them with our file tutorial.R