flowjo_biexp: construct the flowJo-type biexponentioal transformation...

In flowWorkspace: Infrastructure for representing and interacting with gated and ungated cytometry data sets.

Description

Normally it was parsed from flowJo xml workspace. This function provides the alternate way to construct the flowJo version of logicle transformation function within R.

Usage

flowjo_biexp(
  channelRange = 4096,
  maxValue = 262144,
  pos = 4.5,
  neg = 0,
  widthBasis = -10,
  inverse = FALSE
)

Arguments

channelRange	numeric the maximum value of transformed data
maxValue	numeric the maximum value of input data
pos	numeric the full width of the transformed display in asymptotic decades
neg	numeric Additional negative range to be included in the display in asymptotic decades
widthBasis	numeric unkown.
inverse	logical whether to return the inverse transformation function.

Examples

trans <- flowjo_biexp()
data.raw <- c(-1, 1e3, 1e5)
data.trans <- trans(data.raw)
round(data.trans)
inv <- flowjo_biexp(inverse = TRUE)
round(inv(data.trans))

Example output

As part of improvements to flowWorkspace, some behavior of
GatingSet objects has changed. For details, please read the section
titled "The cytoframe and cytoset classes" in the package vignette:

  vignette("flowWorkspace-Introduction", "flowWorkspace")
[1]  450 1862 3716
[1]     -1   1000 100000

flowWorkspace documentation built on Nov. 8, 2020, 8:08 p.m.