Description Usage Arguments Note Author(s) References
Arguments:
1 2 3 4 5 6 | scaling.minmax(
dat,
quantile.points = NULL,
minmax.points = NULL,
robust = FALSE
)
|
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 |
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).
Contact: Leo Lahti microbiome-admin@googlegroups.com
See citation("microbiome")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.