Package: hclusteasy 0.1.0

Henrique Andrade

hclusteasy: Determining Hierarchical Clustering Easily

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.

Authors:André Nogueira [aut], Henrique Andrade [aut, cre]

hclusteasy_0.1.0.tar.gz
hclusteasy_0.1.0.zip(r-4.5)hclusteasy_0.1.0.zip(r-4.4)hclusteasy_0.1.0.zip(r-4.3)
hclusteasy_0.1.0.tgz(r-4.4-any)hclusteasy_0.1.0.tgz(r-4.3-any)
hclusteasy_0.1.0.tar.gz(r-4.5-noble)hclusteasy_0.1.0.tar.gz(r-4.4-noble)
hclusteasy_0.1.0.tgz(r-4.4-emscripten)hclusteasy_0.1.0.tgz(r-4.3-emscripten)
hclusteasy.pdf |hclusteasy.html
hclusteasy/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/tsukubai/hclusteasy/issues

Datasets:

On CRAN:

4 exports 0.83 score 125 dependencies 1 scripts 166 downloads

Last updated 3 months agofrom:b156f8e050. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:hcanormalizationpcaread.data

Dependencies:abindade4backportsbase64encbootbroombslibcachemcarcarDatacellrangerclasscliclusterclusterSimcolorspacecorrplotcowplotcpp11crayoncrosstalkdendextendDerivdigestdoBydplyrDTe1071ellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomefsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpixmappkgconfigplyrpolynomprettyunitsprogresspromisesproxypurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadxlrematchreshape2rlangrmarkdownrstatixsassscalesscatterplot3dspSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml