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Facilitates hierarchical clustering analysis with functions to read data in 'txt', 'xlsx', and 'xls' formats, apply normalization techniques to the dataset, perform hierarchical clustering and construct scatter plot from principal component analysis to evaluate the groups obtained.
Version: | 0.1.0 |
Depends: | R (≥ 3.6) |
Imports: | clusterSim, factoextra, readxl, stats, utils |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-06-21 |
DOI: | 10.32614/CRAN.package.hclusteasy |
Author: | André Nogueira [aut], Henrique Andrade [aut, cre] |
Maintainer: | Henrique Andrade <henrique.4ndrade at outlook.com> |
BugReports: | https://github.com/tsukubai/hclusteasy/issues |
License: | GPL-2 |
URL: | https://github.com/tsukubai/hclusteasy |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | hclusteasy results |
Reference manual: | hclusteasy.pdf |
Package source: | hclusteasy_0.1.0.tar.gz |
Windows binaries: | r-devel: hclusteasy_0.1.0.zip, r-release: hclusteasy_0.1.0.zip, r-oldrel: hclusteasy_0.1.0.zip |
macOS binaries: | r-release (arm64): hclusteasy_0.1.0.tgz, r-oldrel (arm64): hclusteasy_0.1.0.tgz, r-release (x86_64): hclusteasy_0.1.0.tgz, r-oldrel (x86_64): hclusteasy_0.1.0.tgz |
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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.