gate_mindensity2 {openCyto} | R Documentation |
Analogous to the original openCyto::mindensity(), mindensity2 operates on a standard flowFrame. Its behavior is closely modeled on the original mindensity() whenever possible. However, the underlying peak-finding algorithm (improvedMindensity) behaves significantly differently.
gate_mindensity2(fr, channel, filterId = "", pivot = FALSE, gate_range = NULL, min = NULL, max = NULL, peaks = NULL, ...) mindensity2(fr, channel, filterId = "", pivot = FALSE, gate_range = NULL, min = NULL, max = NULL, peaks = NULL, ...)
fr |
a |
channel |
the channel to operate on |
filterId |
a name to refer to this filter |
pivot |
logical value. If |
gate_range |
numeric vector of length 2. If given, this sets the bounds on the gate applied. |
min |
a numeric value that sets the lower boundary for data filtering |
max |
a numeric value that sets the upper boundary for data filtering |
peaks |
|
... |
Additional arguments for peak detection. |
a rectangleGate
object based on the minimum density cutpoint
Greg Finak, Phu T. Van
## Not run: gate <- gate_mindensity2(fr, channel = "APC-A") # fr is a flowFrame ## End(Not run)