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b/man/vrHeatmapPlot.Rd |
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% Generated by roxygen2: do not edit by hand |
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% Please edit documentation in R/visualization.R |
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\name{vrHeatmapPlot} |
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\alias{vrHeatmapPlot} |
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\title{HeatmapPlot} |
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\usage{ |
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vrHeatmapPlot( |
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object, |
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assay = NULL, |
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features = NULL, |
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group.by = "clusters", |
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norm = TRUE, |
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scaled = TRUE, |
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show_row_names = NULL, |
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cluster_rows = TRUE, |
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show_heatmap_legend = FALSE, |
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outlier.quantile = 0.99, |
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highlight.some = FALSE, |
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n_highlight = 30, |
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font.size = 13.2, |
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... |
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) |
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} |
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\arguments{ |
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\item{object}{a VoltRon object} |
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\item{assay}{assay name (exp: Assay1) or assay class (exp: Visium, Xenium), see \link{SampleMetadata}. |
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if NULL, the default assay will be used, see \link{vrMainAssay}.} |
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\item{features}{a set of features to be visualized from \link{vrFeatures} of raw or normalized data.} |
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\item{group.by}{a column of metadata from \link{Metadata} used as grouping label for the spatial entities} |
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\item{norm}{if TRUE, the normalized data is used} |
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\item{scaled}{if TRUE, the data will be scaled before visualization} |
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\item{show_row_names}{if TRUE, row names of the heatmap will be shown} |
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\item{cluster_rows}{if TRUE, the rows of the heatmap will be clustered} |
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\item{show_heatmap_legend}{if TRUE, the heatmap legend is shown} |
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\item{outlier.quantile}{quantile for detecting outliers whose values are set to the quantile, change to lower values to adjust large number of outliers, default: 0.99} |
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\item{highlight.some}{if TRUE, some rows will be showed at random, reproducible by \code{seed} argument} |
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\item{n_highlight}{the number of row labels shown, if \code{show_row_names} is TRUE} |
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\item{font.size}{font size} |
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\item{...}{additional parameters passed to \link{getVariableFeatures}} |
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} |
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\description{ |
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HeatmapPlot |
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} |