Dear Dr ;
I am a PhD student at Epidemiology department of National University of
Singapore. I used R command (rcspline.plot) for plotting restricted cubic
spline – the model is based on Cox. I managed to get a plot without
adjustment for other covariates, but I have a problem regarding to
adjusting the confounders.
I applied below command to generate the matrix for covariates.
m=as.matrix(age,sex) or m1=matrix(age,sex) or m2=cbind(age,sex)
But, when I input ..... adj=m, or adj=m1, or adj=m2...... in the model, R
gives below error:
Error in pchisq(q, df, lower.tail, log.p) :
Non-numeric argument to mathematical function
In addition: Warning message:
In coxph.fit(cbind(x, xx, adj), cbind(y, event), strata = NULL, :
Loglik converged before variable 1,2,3,4 ; beta may be infinite.
I would be grateful if you take my issue into your consideration and help me
on this case
Sincerely Yours
Haleh Ghaem
PhD student, NUS
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