rocJM issue: Error in (function (x, vec, rightmost.closed = FALSE, all.inside = FALSE, : 'vec' must be sorted non-decreasingly and not contain NAs

[Jingyan-uth]

Hi there, I have an issue when running rocJM after I got results from mvJointModelBayes. When I fit rocJM, I kept having Error as: "Error in (function (x, vec, rightmost.closed = FALSE, all.inside = FALSE, : 'vec' must be sorted non-decreasingly and not contain NAs"

And the following is the traceback: 8.stop("'vec' must be sorted non-decreasingly and not contain NAs") 7.(function (x, vec, rightmost.closed = FALSE, all.inside = FALSE, left.open = FALSE) { if (!identical(FALSE, is.unsorted(vec))) ... 6.mapply(findInterval, Q_points, split(times, fids)) 5.right_rows(newdata, newdata[[timeVar]], newdata[[idVar]], GK_points_postRE) 4.survfitJM.mvJMbayes(object, newdata = newdata2, idVar = idVar, survTimes = Thoriz, M = M) 3.survfitJM(object, newdata = newdata2, idVar = idVar, survTimes = Thoriz, M = M) 2.rocJM.mvJMbayes(JMFit, newdata = test, Tstart = 2, Dt = 4) 1.rocJM(JMFit, newdata = test, Tstart = 2, Dt = 4)

Could please help give some advise?

Best, Grace

[drizopoulos]

Do you have ties in your event times (i.e., event times that are exactly equal)?

From: yishigrace notifications@github.com<mailto:notifications@github.com> Date: Wednesday, 04 Sep 2019, 9:47 PM To: drizopoulos/JMbayes JMbayes@noreply.github.com<mailto:JMbayes@noreply.github.com> Cc: Subscribed subscribed@noreply.github.com<mailto:subscribed@noreply.github.com> Subject: [drizopoulos/JMbayes] rocJM issue (#48)

Hi there, I have an issue when running rocJM after I got results from mvJointModelBayes. When I fit rocJM, I kept having Error as: "Error in (function (x, vec, rightmost.closed = FALSE, all.inside = FALSE, : 'vec' must be sorted non-decreasingly and not contain NAs"

And the following is the traceback: 8.stop("'vec' must be sorted non-decreasingly and not contain NAs") 7.(function (x, vec, rightmost.closed = FALSE, all.inside = FALSE, left.open = FALSE) { if (!identical(FALSE, is.unsorted(vec))) ... 6.mapply(findInterval, Q_points, split(times, fids)) 5.right_rows(newdata, newdata[[timeVar]], newdata[[idVar]], GK_points_postRE) 4.survfitJM.mvJMbayes(object, newdata = newdata2, idVar = idVar, survTimes = Thoriz, M = M) 3.survfitJM(object, newdata = newdata2, idVar = idVar, survTimes = Thoriz, M = M) 2.rocJM.mvJMbayes(JMFit, newdata = test, Tstart = 2, Dt = 4) 1.rocJM(JMFit, newdata = test, Tstart = 2, Dt = 4)

Could please help give some advise?

Best, Grace

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[Jingyan-uth]

Yes, the event times have ties. I found that the newdata in rocJM() was not sorted by time. It works using sorted data. Thanks!

[Jingyan-uth]

And Just curious, although mvglmer() allows missing observations in longitudinal biomarkers, does the function mvglmer() requires that multiple longitudinal biomarkers put in have same number of subject response?

Best, Grace

[Lisaleg]

Hi there,

I had the same error message when fitting a JM model. I had a lot of ties in the event times. Does JM handle time events?

Thanks for reading! Best,

Lisa

[drizopoulos]

Try JMbayes2.