scaling.minmax: Description: Minmax scaling.

Description Usage Arguments Note Author(s) References

Description

Arguments:

Usage

1
2
3
4
5
6
scaling.minmax(
  dat,
  quantile.points = NULL,
  minmax.points = NULL,
  robust = FALSE
)

Arguments

dat

data matrix in original absolute scale

quantile.points

quantiles for minmax

minmax.points

pre-calculated quantiles for minmax in log10 scale; overrides quantile.points argument

robust

Select minmax version.

Returns: @return normalized data matrix in absolute scale

Note

With robust = FALSE, the standard minmax is carried out. This shifts and scales each array such that their min and max values are identical across arrays. The robust = TRUE will perform the scaling such that the upper quantiles and minimum values of the data match (instead of maximum values).

Author(s)

Contact: Leo Lahti microbiome-admin@googlegroups.com

References

See citation("microbiome")


microbiome/HITChipDB documentation built on June 7, 2020, 8:25 a.m.