Package: miaViz 1.15.2
Tuomas Borman
miaViz: Microbiome Analysis Plotting and Visualization
The miaViz package implements functions to visualize TreeSummarizedExperiment objects especially in the context of microbiome analysis. Part of the mia family of R/Bioconductor packages.
Authors:
miaViz_1.15.2.tar.gz
miaViz_1.15.2.zip(r-4.5)miaViz_1.15.2.zip(r-4.4)miaViz_1.15.2.zip(r-4.3)
miaViz_1.15.2.tgz(r-4.4-any)miaViz_1.15.2.tgz(r-4.3-any)
miaViz_1.15.2.tar.gz(r-4.5-noble)miaViz_1.15.2.tar.gz(r-4.4-noble)
miaViz_1.15.2.tgz(r-4.4-emscripten)
miaViz.pdf |miaViz.html✨
miaViz/json (API)
NEWS
# Install 'miaViz' in R: |
install.packages('miaViz', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- col_graph - MiaViz example data
- row_graph - MiaViz example data
- row_graph_order - MiaViz example data
On BioConductor:miaViz-1.15.2(bioc 3.21)miaViz-1.14.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microbiomesoftwarevisualization
Last updated 1 months agofrom:94696fa7e7. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-win | NOTE | Dec 02 2024 |
R-4.5-linux | NOTE | Dec 02 2024 |
R-4.4-win | NOTE | Dec 02 2024 |
R-4.4-mac | NOTE | Dec 02 2024 |
R-4.3-win | NOTE | Dec 02 2024 |
R-4.3-mac | NOTE | Dec 02 2024 |
Exports:colTreeDatacolTreeData<-combineTreeDatagetNeatOrderplotAbundanceplotAbundanceDensityplotCCAplotColGraphplotColTileplotColTreeplotDMNFitplotFeaturePrevalenceplotLoadingsplotNMDSplotPrevalenceplotPrevalentAbundanceplotRDAplotRowGraphplotRowPrevalenceplotRowTileplotRowTreeplotSeriesplotTaxaPrevalencerowTreeDatarowTreeData<-
Dependencies:abindapeaplotaskpassassortheadbackportsbase64encbeachmatbeeswarmBHBiobaseBiocBaseUtilsBiocGenericsBiocNeighborsBiocParallelBiocSingularBiostringsblusterbootbslibcachemCairocheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tableDBIDECIPHERdecontamDelayedArrayDelayedMatrixStatsdigestDirichletMultinomialdplyrdqrngevaluatefansifarverfastmapFNNfontawesomeforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggforceggfunggnewscaleggplot2ggplotifyggraphggrastrggrepelggtreegluegraphlayoutsgridExtragridGraphicsgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrigraphIRangesirlbaisobandjaneaustenrjquerylibjsonliteknitrlabelinglambda.rlatticelazyevallifecyclelme4lpSolvemagrittrMASSMatrixMatrixGenericsmatrixStatsmediationmemoisemgcvmiamimeminqaMultiAssayExperimentmunsellmvtnormnlmenloptrnnetopensslopenxlsxpatchworkpermutepheatmappillarpkgconfigplyrpngpolyclippurrrR.methodsS3R.ooR.utilsR6raggrappdirsrbiomRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppMLRcppParallelRcppProgressreshape2rjsonrlangrmarkdownrpartRSpectrarstudioapirsvdRtsneS4ArraysS4VectorssandwichsassScaledMatrixscalesscaterscuttleSingleCellExperimentsitmoslamsnowSnowballCSparseArraysparseMatrixStatsstringistringrSummarizedExperimentsyssystemfontstextshapingtibbletidygraphtidyrtidyselecttidytexttidytreetinytextokenizerstreeioTreeSummarizedExperimenttweenrUCSC.utilsutf8uwotvctrsveganviporviridisviridisLitewithrxfunXVectoryamlyulab.utilszipzlibbioczoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
miaViz - Microbiome Analysis Plotting and Visualization | miaViz-package miaViz |
Sorting by radial theta angle | getNeatOrder getNeatOrder,matrix-method |
miaViz example data | col_graph mia-datasets row_graph row_graph_order |
Additional arguments for plotting | mia-plot-args |
Plotting abundance data | plotAbundance plotAbundance,SummarizedExperiment-method |
Plot abundance density | plotAbundanceDensity plotAbundanceDensity,SummarizedExperiment-method |
Plot RDA or CCA object | plotCCA plotCCA,matrix-method plotCCA,SingleCellExperiment-method plotRDA plotRDA,matrix-method plotRDA,SingleCellExperiment-method |
Plot factor data as tiles | plotColTile plotColTile,SummarizedExperiment-method plotRowTile plotRowTile,SummarizedExperiment-method |
Plotting Dirichlet-Multinomial Mixture Model data | plotDMN plotDMNFit plotDMNFit,SummarizedExperiment-method |
Plotting igraph objects with information from a 'SummarizedExperiment' | plotColGraph plotColGraph,ANY,SummarizedExperiment-method plotColGraph,SummarizedExperiment,missing-method plotGraph plotRowGraph plotRowGraph,ANY,SummarizedExperiment-method plotRowGraph,SummarizedExperiment,missing-method |
Plot feature loadings for TreeSummarizedExperiment objects or feature loadings numeric matrix. | plotLoadings plotLoadings,matrix-method plotLoadings,SingleCellExperiment-method plotLoadings,TreeSummarizedExperiment-method |
Wrapper for scater::plotReducedDim() | plotNMDS |
Plot prevalence information | plotFeaturePrevalence plotFeaturePrevalence,ANY-method plotPrevalence plotPrevalence,SummarizedExperiment-method plotPrevalentAbundance plotPrevalentAbundance,SummarizedExperiment-method plotRowPrevalence plotRowPrevalence,SummarizedExperiment-method plotTaxaPrevalence plotTaxaPrevalence,ANY-method |
Plot Series | plotSeries plotSeries,SummarizedExperiment-method |
Plotting tree information enriched with information | plotColTree plotColTree,TreeSummarizedExperiment-method plotRowTree plotRowTree,TreeSummarizedExperiment-method plotTree |
Adding information to tree data in 'TreeSummarizedExperiment' | colTreeData colTreeData,TreeSummarizedExperiment-method colTreeData<- colTreeData<-,TreeSummarizedExperiment-method combineTreeData combineTreeData,phylo-method combineTreeData,treedata-method rowTreeData rowTreeData,TreeSummarizedExperiment-method rowTreeData<- rowTreeData<-,TreeSummarizedExperiment-method treeData |