Description Usage Arguments Value
Compute cut-off for outliars of an given feature.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | CalculateCutOff(object, ...)
## Default S3 method:
CalculateCutOff(
object,
metrics = c("mean", "median"),
n.dev = 3,
cut.off.end = c("paired", "lower", "higher"),
cut.off.given = NULL,
cut.off.given.only = FALSE,
...
)
## S3 method for class 'Seurat'
CalculateCutOff(
object,
assay = NULL,
feature = NULL,
cells = NULL,
slot = NULL,
...
)
|
object |
An object |
... |
Arguments passed to other methods |
metrics |
Default is 'mean', and standard deviation will be used as discrete parameter. Median absolute deviation will be used for 'median' as metrics |
n.dev |
Number for discrete parameter |
cut.off.end |
Default is paired-end. Can set with 'lower' or 'higher' end |
cut.off.given |
Add extra cut-off values |
cut.off.given.only |
Whether or not to use the given cut-offs only, default is FALSE |
assay |
Which assay to use |
feature |
Which feature to calculate. Must be from either rownames of Seurat data or colnames of meta.data |
cells |
Which cells to use. Default is all cells |
slot |
Which slot to use. Default is counts slot |
Returns a vector storing cut-off(s) for outliars
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