modScale scales a data set by making all sample vectors
have the same total sum, then multiplying each sample vector by
a scale factor.
modScale(object, alpha = 0, uniform = TRUE)An ExprsArray object. The object that should undergo a
replication of some feature selection and dimension reduction history.
An integer. The maximum range of scale factors used
for scaling if uniform = TRUE. The standard deviation
of the scale factors if uniform = FALSE. See Details.
A boolean. Toggles whether to draw scale factors from a uniform distribution or a normal distribution.
A pre-processed ExprsArray object.
If uniform = TRUE, scale factors are randomly sampled from
the uniform distribution (0, alpha) + 1. Otherwise, scale
factors are randomly sampled from the normal distribution with
a mean of 0 and standard deviation of alpha. When using
the normal distribution, these scale factors are transformed by
taking the absolute value then adding one. For this reason,
data are always unscaled when alpha = 0.