Package: STMotif 2.0.0
Heraldo Borges
STMotif: Discovery of Motifs in Spatial-Time Series
Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
Authors:
STMotif_2.0.0.tar.gz
STMotif_2.0.0.zip(r-4.5)STMotif_2.0.0.zip(r-4.4)STMotif_2.0.0.zip(r-4.3)
STMotif_2.0.0.tgz(r-4.4-any)STMotif_2.0.0.tgz(r-4.3-any)
STMotif_2.0.0.tar.gz(r-4.5-noble)STMotif_2.0.0.tar.gz(r-4.4-noble)
STMotif_2.0.0.tgz(r-4.4-emscripten)STMotif_2.0.0.tgz(r-4.3-emscripten)
STMotif.pdf |STMotif.html✨
STMotif/json (API)
NEWS
# Install 'STMotif' in R: |
install.packages('STMotif', repos = c('https://heraldoborges.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/heraldoborges/stmotif/issues
- example_dataset - Example of dataset
Last updated 4 years agofrom:9cc700c5b5. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | NOTE | Nov 21 2024 |
R-4.5-linux | NOTE | Nov 21 2024 |
R-4.4-win | NOTE | Nov 21 2024 |
R-4.4-mac | NOTE | Nov 21 2024 |
R-4.3-win | NOTE | Nov 21 2024 |
R-4.3-mac | NOTE | Nov 21 2024 |
Exports:CSAMiningProcessdisplay_motifsDatasetdisplay_motifsSTSeriesNormSAXRankSTMotifsSearchSTMotifsSTSADatasetAdjust
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangsassscalesshinysourcetoolsstringistringrtibbleutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
CSAMiningProcess | CSAMiningProcess |
Plot a heatmap of the dataset and highlight the selected motifs from the list | display_motifsDataset |
Plot the selected spatial-time series with the selected motifs highlighted | display_motifsSTSeries |
Example of dataset | example_dataset |
Normalize the data and SAX indexing | NormSAX |
Rank the STmotifs Rank motifs by their quality | RankSTMotifs |
SearchSTMotifs | SearchSTMotifs |
Package STMotif | STMotif-package STMotif |
Adjust a Dataset Adjust the dimensions of a dataset to build the blocks | STSADatasetAdjust |