extractFeatures: Function for extracting summary of covariates in a...
In kbolab/distrcox: Package for simulating Cox proportional hazards distributions

Description Usage Arguments Details Value

This function is used for building a summary list of the covariates in a data.frame object. It has to be used before using coxSimulate in order to generate new dataset with given baseline hazards and a set of coefficients set for a given outcome.

1	extractFeatures(dataset, breaks = 20)

`dataset`	A `data.frame` object
`breaks`	Numnber of `breaks` in the `hist` objects that returns the summary of `numeric` covariates
`times`	Numeric vector of observation times or death in the dataset
`status`	Numeric vector of censored `(0)` or event `(1)` cases in the dataset

When a simulation of new Cox dataset is performed according the features of a given dataset a pre-analysis of the dataset has to be performed by using this function. The result given by extractFeatures can be directly put in coxSimulate function to achieve a new dataset similar to the one that gave the model used for coeff, cov and BH arguments.

An object of class features with following structure:

classes. A character vector with names of classes of each covariate.
prop. A list of table objects for integer and factor covaraites, or hist objects for numeric covariates.
numCases. The total number of cases in the dataset.