Dear Hussain,
I think you can get the individual diagnostic plots by setting some arguments
in Xpose4:
e.g.
basic.gof(xpose.data(run-number),by="CMT",layout=c(2,1))
basic.gof(xpose.data(run-number),subset="CMT==2",layout=c(2,1))
Best regards,
Xipei
--
Xipei Wang, Ph.D. student
Department
of the observations at TIME=112.5.
>
>ID TIME AMT APGR WT DV TYPE L2
>1 0. 25.0 1.4 7 . . 1
>1 2.0 . 1.4 7 6.0 1 1
>1 2.0 . 1.4 7 17.3 2 1
>1 12.5 3.5 1.4 7 . 2 2
>1 24.5 3.5 1.4 7 . 2 2
>1 37.0 3.5 1.4 7 . 2 2
>1 48.0 3.5 1.4 7 . 2 2
>1 60.5 3.5 1.4 7 . 2 2
>1 72.5
Center, Beijing,
China
Email: wangxi...@gmail.com
At 2011-09-02 14:31:43，wangxipei wrote:
Dear NONMEM users,
I am building a popPK model for a parent drug and its metabolite (rich
data,single dose). I want to estimate the correlation between the residual
errors of parent drug and its metabolite
Dear NONMEM users,
I am building a popPK model for a parent drug and its metabolite (rich
data,single dose). I want to estimate the correlation between the residual
errors of parent drug and its metabolite, because their measurements were from
a same blood sample. (My code and part of data are
Dear NONMEM users,
I have a data set from a bioavailablity study (2×2 study design). 18
people took a single dose of a marketed drug (marked as R), then after a
wash-out period, took a single dose the corresponding generic drug (marked T).
I want to estimate the PK parameters of T and R sep
