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Generate proportional timeseries plot from raw / normalised barcode count object.

Usage

plotBarcodeTimeseries(counts, name = "", seed = 5, top = 50)

Arguments

counts

dataframe containing raw counts of barcodes

name

desired plot title

seed

RNG seed

top

number of top barcodes per sample to plot

Value

Returns a bubbleplot of barcodes represented by proportion of total pool

Examples

data(test.dge)
plotBarcodeTimeseries(test.dge[,1:4], name = "Proportional Timeseries Plot", seed = 5)
#> Using barcode as id variables