data.plot: Plot the histograms of simulated data
In coxed: Duration-Based Quantities of Interest for the Cox Proportional Hazards Model

Description Usage Arguments Details Value Author(s) See Also Examples

This function is called by survsim.plot and is not intended to be used by itself.

1	data.plot(data, xb, bins = 30)

`data`	A data frame of simulated duration data in which the duration variable is called y. Generally, this data frame is taken from the `data` attribute of the `sim.survdata` function
`xb`	A vector of the linear predictors, combining the covariates and coefficients from the simulation. Generally, this data frame is taken from the `xb` attribute of the `sim.survdata` function
`bins`	The number of bins to draw in each histogram

This function produces three histograms, one of the simulated durations, one of the linear predictors, and one of the exponentiated linear predictors. It uses facet_wrap within a call to ggplot to arrange the plots.

A figure of class "gg" and "ggplot"

Jonathan Kropko <jkropko@virginia.edu> and Jeffrey J. Harden <jharden2@nd.edu>

survsim.plot, sim.survdata

1 2	simdata <- sim.survdata(N=1000, T=100, num.data.frames=1) data.plot(simdata$data, simdata$xb)

Loading required package: rms
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
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Attaching package: ‘Hmisc’

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    format.pval, units

Loading required package: SparseM

Attaching package: ‘SparseM’

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    backsolve

Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.8-33. For overview type 'help("mgcv-package")'.