[S] na.include

WayWay M. Hlaing (wayway@gate.net)
Fri, 27 Mar 1998 08:04:07 -0500


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Hello!
=20
I am a relatively new user of Splus. Upon reading online manuals of =
Nonlinear Mixed Effects Model
(NLME) & na.include, I am still not sure what exactly splus does when =
you include na.action=3Dna.include
in the model statement. The model statement is attached below.
=20
Questions: (1) Does Splus do the imputation automatically for all the =
NAs for all variables? If so,
with what value - mean or median? =20
=20
(2) what does it mean by adding a level? (online manual of =
na.include). Many of the variables in my dataset
are continuous variables.
=20
(3) am I using the option na.include incorrectly?
=20
Any help in explaining this is greatly appreciated. I am using SPLUS4, =
rel.3 on winNT, analyzing a longitudinal=20
data set with many of the timed visits have NAs; NLME with 4-parameter =
GOMPERTZ function. =20
=20
Model Statement:
=20
nlme(BMI ~ BMI.FUNC(A,B,C,D,AGE), fixed=3Dlist(A~., B~., C~., D~.),
random=3Dlist(A~., B~.), cluster=3D~ID,
start=3Dlist(fixed=3Dc(16.71, 2.08, 2.33, -0.34)), =
na.action=3Dna.include,
control=3Dlist(tolerance=3D0.0001, pnls.tolerance=3D0.001, =
lme.tolerance=3D0.000001),
data=3De3, verbose=3DT)
=20
Thank you in advance, W. Hlaing, University of South Florida, Tampa, FL

email: wayway@gate.net
whlaing@com1.med.usf.edu

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Hello!
 
I am a relatively new user of = Splus.  Upon=20 reading online manuals of Nonlinear Mixed Effects Model
(NLME) & na.include, I am still = not sure=20 what exactly splus does when you = include=20 na.action=3Dna.include
in the model statement.  The = model=20 statement is attached below.
 
Questions: (1)  Does Splus do the imputation=20 automatically for all the NAs for all variables?  If = so,
 with what value - mean or median?  =
 
(2)  what does it mean by = adding a=20 level?  (online manual of na.include).  Many of the variables = in my=20 dataset
 are continuous = variables.
 
(3) am I using the option na.include = incorrectly?
 
Any help in explaining this is greatly = appreciated.  I am=20 using SPLUS4, rel.3 on winNT, analyzing a longitudinal
data set with many of the timed visits have NAs; = NLME with=20 4-parameter GOMPERTZ function. 
 
Model Statement:
 
nlme(BMI ~ BMI.FUNC(A,B,C,D,AGE), fixed=3Dlist(A~., = B~., C~.,=20 D~.),
random=3Dlist(A~., B~.),  = cluster=3D~ID,
start=3Dlist(fixed=3Dc(16.71, 2.08, 2.33, -0.34)),=20 na.action=3Dna.include,
control=3Dlist(tolerance=3D0.0001, = pnls.tolerance=3D0.001,=20 lme.tolerance=3D0.000001),
data=3De3, verbose=3DT)
 
Thank you in advance, W. Hlaing, University of South = Florida,=20 Tampa, FL
 
email:  wayway@gate.net
          =20 whlaing@com1.med.usf.edu
 
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