Package: clustur 0.1.0

Patrick Schloss

clustur: Clustering

A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.

Authors:Gregory Johnson [aut], Sarah Westcott [aut], Patrick Schloss [aut, cre, cph]

clustur_0.1.0.tar.gz
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clustur.pdf |clustur.html
clustur/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/schlosslab/clustur/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

4.78 score 4 scripts 59 downloads 13 exports 27 dependencies

Last updated 2 days agofrom:fde9653af8. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-win-x86_64OKNov 20 2024
R-4.5-linux-x86_64OKNov 20 2024
R-4.4-win-x86_64OKNov 20 2024
R-4.4-mac-x86_64OKNov 20 2024
R-4.4-mac-aarch64OKNov 20 2024
R-4.3-win-x86_64OKNov 20 2024
R-4.3-mac-x86_64OKNov 20 2024
R-4.3-mac-aarch64OKNov 20 2024

Exports:clustercreate_sparse_matrixexample_pathget_abundanceget_binsget_count_tableget_cutoffget_distance_dfget_metricsread_countread_distsplit_clusters_to_listvalidate_count_table

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefsgluejsonlitelatticelifecyclemagrittrMatrixpkgbuildpkgloadpraiseprocessxpsR6Rcpprlangrprojroottestthatwaldowithr

clustur

Rendered fromclustur.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-11-11
Started: 2024-10-11

Readme and manuals

Help Manual

Help pageTopics
Cluster entities togethercluster
Create Sparse Matrixcreate_sparse_matrix
Example Pathexample_path
Get Sharedget_abundance
Get Clustersget_bins
Get Count Tableget_count_table
Get Cutoffget_cutoff
Get Distance Data Frameget_distance_df
Get Metricsget_metrics
Read count tableread_count
Read distance matricesread_dist
Split Clusters to Listsplit_clusters_to_list
Validate Count Tablevalidate_count_table