Man pages for microresearcher/MicroVis
Microbiome Analysis and Visualization

activateActivate Dataset
addGrpsAdd Groups
addSamplesAdd Samples
adivAlpha Diversity Calculation
agglomTaxaAgglomerate taxa into parent taxa
ASVtoTaxaTranslate ASV Numbers to Taxa Names
autonametoggleAutomatically Name Results
bdivBeta Diversity Analysis
calcUniVarCore Univariate Analysis Function
capitalizeCapitalize a Single-Word String
changeFactorSwitch to a Different Factor
changerankChange the active rank of a dataset
checkColorsCheck Colors of Groups in a Dataset
checkFormulaCheck that a formula is valid for a dataset
checkGroupsCheck that each group has at least a certain number of...
chooseFactorsChoose Factors for the Dataset
chooseGrpsChoose Groups to be Analyzed in Each Factor
chooseSamplesSelect specific samples to analyze
cleanASVsClean ASVs in ASV Dataframe
cleanDataClean up a metadata factor column in a merged data table
cleanGroupsClean Metadata Factors
cleanUnkTaxaRename Taxa with NA and at Species Level
clearFeatureFiltClear Feature Filtering
clearNormalizationClear Normalization
clearProcessingClear Normalization and Feature Filtering
clrCentered log-ratio functions
clusterSamplesCluster samples
colorGrpsColor Groups
combineDupeASVsCombine Identical ASVs
cor2covConvert a symmetric correlation matrix to a covariance matrix...
countFeaturesGet Number of Included Samples in a Dataset
countSamplesGet Number of Included Samples in a Dataset
countSamples.baseCore function for calculating sample sizes
excludeFeaturesExclude specific features at a specified taxonomic rank. Only...
filterLowAbunFilter Low Abundance Features
filterLowPrevFilter Low Prevalence Features
filterLowRelAbunFilter Low Relative Abundance Features
filterLowTotAbunFilter Low Total Abundance Features
filterLowVarFilter Low Variance Features
filterNAsFilter Unassigned Taxa
findSigFisherRun Fisher Test on Features
foldChangeCalculate Fold Change
ftcorCompute feature correlation matrices for each group and all...
ftRatioCalculate ratio between two features
ftRatiostabGenerate a table of feature ratios
getdataGet Data with/without Attached Metadata
getDiscriminatingFeaturesGet features that uniquely identify one group from other...
getFeaturesGet list of features in a dataset
getFormulaVarsExtract Variables from a Formula
getFtStatsGet Feature Statistics for Filtering
getLowestRankGet Lowest Rank in a Dataset
getNetworkGet the co-occurence network for a dataset
getParentTaxaGet parent taxa
getRanksGet All Ranks of a Dataset
getSamplesGet samples with certain metadata characteristics from a...
ggcorrplotVisualization of a correlation matrix using ggplot2
glogGeneralized Log
keepSigFisherFunction for setting whether or not to run Fisher tests to...
listsigsList Significant Features of a Dataset in Current State
listUniquesList features uniquely over/under-expressed in a specified...
loadFxnlFileLoad pathways file
loadMDFileLoad metadata file
loadTaxaFileLoad Taxonomy File
makeAldexMake an ALDEx2 CLR Object
makeASVtabMake ASV Table
makeDeseqMake a DESeq object from a MicroVis dataset
makePSMake a phyloseq object from a MicroVis dataset
makeRankTabsMake Abundance Tables at Each Rank
makeTaxMapMake a taxmap object from a MicroVis dataset
multisaveDetermine how to save multiple figures
mvaldexALDEx2 Differential Abundance Analysis
mvCClassoCClasso Network Analysis
mvcombineMerge Two Datasets with Different Sample Sets
mvdeseqDESeq2 Analysis
mvdistDistance Calculation
mvhelpList available functions
mvlefseLEfSe Analysis
mvLMEMLinear Mixed Effects Model Discriminant Analysis
mvloadMicroVis Data Loading
mvmeltMelt the metadata and abundance table at a given rank for the...
mvmergeMerge Two Datasets with Overlapping Samples
mvNetworkConstruct an association network between features
mvsaveSave Dataset in its Current State
mvstratifyMake a melted data table grouped by strata
mvunifracUnifrac Distance Calculation
nameAnalysisAutomatically name the analysis based on factors and the...
nameStratificationStandardized naming of the stratification of an analysis
networkClustersGet feature clusters determined by network analysis
normalizerNormalizing Function
normalizeTableNormalize a Standalone Abundance Table
norm_to_totalTotal Sum Normalize
orderGroupsOrder Groups
pairedCorCorrelate abundance of features between paired samples
parseStratifiersParse Stratifiers
phyloDiversityFaith's Phylogenetic Diversity Index
pipePipe operator
plotAlphaDivPlot Alpha Diversity
plotBetaDivPlot Beta Diversity
plotCladPlot Cladogram
plotDeseqPlot DESeq Results
plotFeatureDensityPlot distribution curves of abundances of each feature across...
plotFtCorlinesPlot correlation trendlines between different features
plotFtCormatPlot feature correlation matrix
plotGroupedBarsPlot grouped bar plot of significant taxa at each rank of all...
plotHeatmapPlot Heatmap of Data
plotHeatTreePlot Heat Tree
plotLEFSEPlot LEfSe analysis (not cladogram plot)
plotLMEMPlot Volcano Plots of LMEM Log2FC Results
plotNetworkPlot Feature Network
plotPairedCorCorrelate abundance of features between paired samples
plotRareCurvesPlot rarefaction curves
plotRFImpPlot random forest important features
plotSampleDensityPlot distribution curves of feature abundances in each sample
plotSimilarityPlot similarity matrix between samples
plotStackedBarsPlot stacked abundace barplots
plotUnivarPlot box-plots of univariate analysis
pnovaPERMANOVA Analysis
poolGroupsPool groups of a factor into fewer, larger groups
posthoctoggleSwitch between Tukey/Games-Howell or T-test/Wilcox for...
print.mvdataPrint function for mvdata (MicroVis dataset) objects
print.mvmergedPrint function for mvmerged (merged MicroVis dataset) objects
processDatasetProcess Dataset for Analysis
pval.sparccbootSparCC p-vals
rangetotextTranslate Range Factor Levels into Interpretable Text
rarefySamplesData Rarefaction
readdepthGet read depth summary statistics for each group or for all...
removeGrpsRemove Groups
removeLowQualityRemove Low Quality Samples
removePoolRemove a factor of pooled groups
removeSamplesRemove Specific Samples
resetResDirReset the Results Directory
rfborutaPerform random forest Boruta analysis
runFeatureFilterFeature Filter
runFeatureRemoverFeature Remover
runNormalizationData Normalization
runRarefactionRarefy Dataset
runSampleFilterSample Filter
sampleFreqFrequency table of samples
samplesWithFilter a datatable to only samples with certain metadata...
saveResultsSave figure and statistics results
savetoggleSwitch Saving Mode
scaleFeaturesScale Features
scaleSamplesScale Samples
selectFeaturesSelect Specific Features
setFVarSet Factor Variable
sliceCormatsSelect only significant and/or high-correlation values from...
sparccSparcc wrapper
sparccbootBootstrap SparCC
summarizeTaxaGet mean and SE of features
TaxatoASVTranslate Taxa Names to ASV Numbers
theme_mvMicroVis ggplot theme
transDataData Transformation
univarPerform Univariate Analysis
unselectFeaturesUndo Feature Selection
validFactorFactor Validation
viewactiveView the active dataset in RStudio Viewer
viewstatsView Statistics of All Features
viewtableView Abundance Table
zeroReplaceReplace Zeros with Non-Zero Value
zerostoggleSwitch Method for Replacing Zeros
microresearcher/MicroVis documentation built on Feb. 8, 2024, 10:59 a.m.