On Mon, 22 Mar 2004 15:10:59 -0700
Christof Bigler <[EMAIL PROTECTED]> wrote:
> Hi R-helpers
Best term for that?
>
> I have a dataframe DF (lets say with the variables, y, x1, x2, x3, ...,
> clust) containing relatively many NAs.
> When I fit an ordinal regression model with the function lrm from the
> Design library:
> model.lrm <- lrm(y ~ x1 + x2, data=DF, x=TRUE, y=TRUE)
> it will by default delete missing values in the variables y, x1, x2.
> Based on model.lrm, I want to apply the robust covariance estimator
> using a cluster variable:
> model.robcov.lrm <- robcov(model.lrm, cluster=clust)
> How can I remove observations in the cluster variable clust that
> contain NAs in y, x1, and x2?
robcov is supposed to do that. If you have an example otherwise, kindly
reproduce it with the most trivial dataset you can simulate, and send the
code and I'll debug. -Frank
---
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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