impoorIdeal: Import Data to create a 'TrtDataIdeal' object.
In SkadiEye/ITRlearn: Individualized Treatment Rule Learning

Description Usage Arguments Details Value See Also

A user-friendly function to create a TrtDataIdeal object.

1	impoorIdeal(X, trtResp1, trtResp2, label)

`X`	A `matrix` or `data.frame` containing all samples/variables. It has to be `numeric` and cannot be left blank. Any variable with missing value will be removed.
`trtResp1`	A `numeric` vector, indicating the response under the first treatment.
`trtResp2`	A `numeric` vector, indicating the response under the second treatment.
`label`	A `character` vector of length two, the unique treatment labels. The default is `levels(trtLabl)`.

This function takes data set and generate an TrtDataIdeal in a flexible way:

X can be either a matrix of a data.frame, of which each column is a numeric predictor of the data set and each row is all predictor values for a sample. X should contain all samples/variables.

An TrtDataIdeal object.

TrtDataIdeal-class

SkadiEye/ITRlearn documentation built on May 24, 2019, 1:31 a.m.