plotSCAConcordance {MAST} | R Documentation

## Concordance plots of filtered single vs n-cell assays

### Description

Plot the average expression value of two subsets of the data. Generally these might be 1 cell and multiple-cell replicates, in which case if the `mcols` column `ncells` is set then the averages will be adjusted accordingly. But it could be any grouping.

### Usage

    plotSCAConcordance(
      SCellAssay,
      NCellAssay,
      filterCriteria = list(nOutlier = 2, sigmaContinuous = 9, sigmaProportion = 9),
      groups = NULL,
      ...
    )

### Arguments

`SCellAssay` | is a FluidigmAssay for the 1-cell per well assay
`NCellAssay` | is a FluidigmAssay for the n-cell per well assay
`filterCriteria` | is a list of filtering criteria to apply to the SCellAssay and NCellAssay
`groups` | is a character vector naming the group within which to perform filtering. NULL by default.
`...` | passed to `getConcordance`

### Value

printed plot

### See Also

getConcordance

### Examples

    data(vbetaFA)
    sca1 <- subset(vbetaFA, ncells==1)
    sca100 <- subset(vbetaFA, ncells==100)
    plotSCAConcordance(sca1, sca100)

[Package MAST version 1.18.0 Index]