Displaying two noise-related quantaties of local pruned k-nearest neighbourhoods in a scatterplot highlighting VarID clusters.
plotQQ(x, m, n, object, cluster = NULL, cex = 0.5, show.cor = TRUE, ...)
None
List object returned by quantKnn
function.
Component name of x
. One of "noise.av", "noise.ratio", "local.corr", "umi".
Component name of x
. One of "noise.av", "noise.ratio", "local.corr", "umi".
SCseq
class object.
Valid cluster number or vector of cluster numbers, contained in object@cpart
. If given, then cells of clusters in cluster
are circled in black.
Real positive number. Size of data points. Default is 0.5.
logical. If TRUE
then Pearson's correlation is shown in the legend. Default is TRUE
.
Additional parameters of plot
(e.g., log
, see help(plot)
).