fsStats: Select Features by Statistical Testing

In tpq/exprso: Rapid Deployment of Machine Learning Algorithms

Description

fsStats selects features using a base R statistics function (toggled by the how argument).

Usage

fsStats(object, top = 0, how = c("t.test", "ks.test", "wilcox.test",
  "var.test"), ...)

Arguments

object	An ExprsArray object to undergo feature selection.
top	A numeric scalar or character vector. A numeric scalar indicates the number of top features that should undergo feature selection. A character vector indicates specifically which features by name should undergo feature selection. Set top = 0 to include all features. A numeric vector can also be used to indicate specific features by location, similar to a character vector.
how	A character string. Toggles between the "t.test", "ks.test", "wilcox.test", and "var.test" methods.
...	Arguments passed to the detailed function.

Value

Returns an ExprsArray object.

tpq/exprso documentation built on July 27, 2019, 8:44 a.m.