logtGml2_trans: Gating-ML 2.0 Log transformation.

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

Description

Used to construct GML 2.0 flog transformer object.

Usage

logtGml2_trans(t = 262144, m = 4.5, n = 6, equal.space = FALSE)

Arguments

t	top scale value
m	number of decades
n	desired number of breaks (the actual number will be different depending on the data range)
equal.space	whether breaks at equal-spaced intervals

Details

GML 2.0 standard log transform function constructor. The definition is as in the GML 2.0 standard section 6.2 "parametrized logarithmic transformation – flog" This deviates from standard only in the following way. Before applying the logarithmic transformation, non-positive values are assigned the smallest positive value from the input rather than having undefined values (NA) under the transformation.

Value

logtGml2 transformation object

Examples

trans.obj <- logtGml2_trans(t = 1e3, m = 1, equal.space = TRUE)
data <- 1:1e3
brks.func <- trans.obj[["breaks"]]
brks <- brks.func(data)
brks # fasinh space displayed at raw data scale

#transform it to verify it is equal-spaced at transformed scale
trans.func <- trans.obj[["transform"]]
brks.trans <- trans.func(brks)
brks.trans

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