scrna_evalPlot_filtering {pipeComp} | R Documentation |
scrna_evalPlot_filtering
scrna_evalPlot_filtering( res, steps = c("doublet", "filtering"), clustMetric = "mean_F1", filterExpr = TRUE, atNearestK = FALSE, returnTable = FALSE, point.size = 2.2, ... )
res |
Aggregated pipeline results (i.e. the output of 'runPipeline' or 'aggregateResults') |
steps |
Steps to include (default 'doublet' and 'filtering'); other steps will be averaged. |
clustMetric |
Clustering accuracy metric to use (default 'mean_F1“) |
filterExpr |
An optional filtering expression based on the columns of the clustering evaluation (e.g. 'filterExpr=param1=="value1"' or 'filterExpr=n_clus==true.nbClusts'). |
atNearestK |
Logical; whether to restrict analyses to those giving the smallest deviation from the real number of clusters (default FALSE). |
returnTable |
Logical; whether to return the data rather than plot. |
point.size |
Size of the points |
... |
passed to 'geom_point' |
A ggplot, or a data.frame if 'returnTable=TRUE'
data("exampleResults", package="pipeComp") scrna_evalPlot_filtering(exampleResults)