Re: [R] lrm in Design package--missing value where TRUE/FALSE needed
annie Zhang wrote:
Hi, Frank,
I met the same problem. My data does not have NA, when I run
fit <- lrm(Y_t~.,data=X)
The error message is:
singular information matrix in lrm.fit (rank= 35 ). Offending variable(s):
X35
Error in j:(j + params[i] - 1) : NA/NaN argument
How can I avoid this?
Thank you,
Annie
Please read earlier posts. Avoid it by not having an overdescribed
problem which will result in overfitting.
Frank
On Fri, Sep 4, 2009 at 2:44 PM, Frank E Harrell Jr
mailto:f.harr...@vanderbilt.edu>> wrote:
Ping-Hsun Hsieh wrote:
Hi,
A error message arose while I was trying to fit a ordinal model
with lrm() I am using R 2.8 with Design package.
Here is a small set of mydata:
RC RS Sex CovACovBCovCCovDCovE
2 1 0 1 1 0 -0.0055752802
2 1 0 1 0 1 -0.0019595802
3 0 0 0 1 0 -0.0047258802
0 0 0 1 0 0 -0.0055048502
2 1 1 0 0 0 -0.0038801701
2 1 0 0 1 0 -0.0060742302
2 1 0 0 1 1 -0.0039639202
2 1 0 0 1 00.0006582302
2 1 0 1 0 1 -0.0020336102
0 0 0 0 0 1 -0.0077617702
0 0 0 0 1 1 -0.0009517842
Note: In the complete data, there are NAs. But the error
messages showed in both the complete and above sets.
attach(mydata)
lrm(RC~RS+Sex+CovA+CovB+CovC+CovD+CovE,data=mydata,na.action=na.pass)
singular information matrix in lrm.fit (rank= 8 ). Offending
variable(s):
CovE Error in j:(j + params[i] - 1) : NA/NaN argument
detach(mydata)
lrm(mydata$RC~ mydata$RS+ mydata$Sex+ mydata$CovA+
mydata$CovB+ mydata$CovC+ mydata$CovD+
mydata$CovE,data=mydata,na.action=na.pass)
Please read the documentation. Use data=. Don't use $ in variables
in the model. I don't know what na.pass is. lrm does not allow NAs
to be used in the attempted model fit.
Frank
Error in if (!length(fname) || !any(fname == zname)) { :
missing value where TRUE/FALSE needed
I have debugged for a while, but no success. Does anyone know
what happens?
Thanks,
Mike
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Re: [R] lrm in Design package--missing value where TRUE/FALSE needed
Hi, Frank,
I met the same problem. My data does not have NA, when I run
fit <- lrm(Y_t~.,data=X)
The error message is:
singular information matrix in lrm.fit (rank= 35 ). Offending variable(s):
X35
Error in j:(j + params[i] - 1) : NA/NaN argument
How can I avoid this?
Thank you,
Annie
On Fri, Sep 4, 2009 at 2:44 PM, Frank E Harrell Jr wrote:
> Ping-Hsun Hsieh wrote:
>
>> Hi,
>>
>> A error message arose while I was trying to fit a ordinal model with lrm()
>> I am using R 2.8 with Design package.
>>
>> Here is a small set of mydata:
>> RC RS Sex CovACovBCovCCovDCovE
>> 2 1 0 1 1 0 -0.0055752802
>> 2 1 0 1 0 1 -0.0019595802
>> 3 0 0 0 1 0 -0.0047258802
>> 0 0 0 1 0 0 -0.0055048502
>> 2 1 1 0 0 0 -0.0038801701
>> 2 1 0 0 1 0 -0.0060742302
>> 2 1 0 0 1 1 -0.0039639202
>> 2 1 0 0 1 00.0006582302
>> 2 1 0 1 0 1 -0.0020336102
>> 0 0 0 0 0 1 -0.0077617702
>> 0 0 0 0 1 1 -0.0009517842
>>
>> Note: In the complete data, there are NAs. But the error messages showed
>> in both the complete and above sets.
>>
>> attach(mydata)
>>> lrm(RC~RS+Sex+CovA+CovB+CovC+CovD+CovE,data=mydata,na.action=na.pass)
>>>
>> singular information matrix in lrm.fit (rank= 8 ). Offending variable(s):
>> CovE Error in j:(j + params[i] - 1) : NA/NaN argument
>>
>> detach(mydata)
>>> lrm(mydata$RC~ mydata$RS+ mydata$Sex+ mydata$CovA+ mydata$CovB+
>>> mydata$CovC+ mydata$CovD+ mydata$CovE,data=mydata,na.action=na.pass)
>>>
>>
> Please read the documentation. Use data=. Don't use $ in variables in the
> model. I don't know what na.pass is. lrm does not allow NAs to be used in
> the attempted model fit.
>
> Frank
>
> Error in if (!length(fname) || !any(fname == zname)) { : missing value
>> where TRUE/FALSE needed
>>
>>
>> I have debugged for a while, but no success. Does anyone know what
>> happens?
>>
>> Thanks,
>> Mike
>> __
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>
> --
> Frank E Harrell Jr Professor and Chair School of Medicine
> Department of Biostatistics Vanderbilt University
>
>
> __
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] lrm in Design package--missing value where TRUE/FALSE needed
Ping-Hsun Hsieh wrote:
Hi,
A error message arose while I was trying to fit a ordinal model with lrm() I am
using R 2.8 with Design package.
Here is a small set of mydata:
RC RS Sex CovACovBCovCCovDCovE
2 1 0 1 1 0 -0.0055752802
2 1 0 1 0 1 -0.0019595802
3 0 0 0 1 0 -0.0047258802
0 0 0 1 0 0 -0.0055048502
2 1 1 0 0 0 -0.0038801701
2 1 0 0 1 0 -0.0060742302
2 1 0 0 1 1 -0.0039639202
2 1 0 0 1 00.0006582302
2 1 0 1 0 1 -0.0020336102
0 0 0 0 0 1 -0.0077617702
0 0 0 0 1 1 -0.0009517842
Note: In the complete data, there are NAs. But the error messages showed in
both the complete and above sets.
attach(mydata)
lrm(RC~RS+Sex+CovA+CovB+CovC+CovD+CovE,data=mydata,na.action=na.pass)
singular information matrix in lrm.fit (rank= 8 ). Offending variable(s):
CovE
Error in j:(j + params[i] - 1) : NA/NaN argument
detach(mydata)
lrm(mydata$RC~ mydata$RS+ mydata$Sex+ mydata$CovA+ mydata$CovB+ mydata$CovC+
mydata$CovD+ mydata$CovE,data=mydata,na.action=na.pass)
Please read the documentation. Use data=. Don't use $ in variables in
the model. I don't know what na.pass is. lrm does not allow NAs to be
used in the attempted model fit.
Frank
Error in if (!length(fname) || !any(fname == zname)) { :
missing value where TRUE/FALSE needed
I have debugged for a while, but no success. Does anyone know what happens?
Thanks,
Mike
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] lrm in Design package--missing value where TRUE/FALSE needed
The idea of estimating 7 parameters from 11 cases using mostly binary
variables just seems begging for a singular matrix.
On Sep 4, 2009, at 3:59 PM, Ping-Hsun Hsieh wrote:
Hi,
A error message arose while I was trying to fit a ordinal model with
lrm() I am using R 2.8 with Design package.
Here is a small set of mydata:
RC RS Sex CovACovBCovCCovDCovE
2 1 0 1 1 0 -0.0055752802
2 1 0 1 0 1 -0.0019595802
3 0 0 0 1 0 -0.0047258802
0 0 0 1 0 0 -0.0055048502
2 1 1 0 0 0 -0.0038801701
2 1 0 0 1 0 -0.0060742302
2 1 0 0 1 1 -0.0039639202
2 1 0 0 1 00.0006582302
2 1 0 1 0 1 -0.0020336102
0 0 0 0 0 1 -0.0077617702
0 0 0 0 1 1 -0.0009517842
Note: In the complete data, there are NAs. But the error messages
showed in both the complete and above sets.
attach(mydata)
lrm(RC~RS+Sex+CovA+CovB+CovC+CovD+CovE,data=mydata,na.action=na.pass)
singular information matrix in lrm.fit (rank= 8 ). Offending
variable(s):
CovE
Error in j:(j + params[i] - 1) : NA/NaN argument
detach(mydata)
lrm(mydata$RC~ mydata$RS+ mydata$Sex+ mydata$CovA+ mydata$CovB+
mydata$CovC+ mydata$CovD+ mydata$CovE,data=mydata,na.action=na.pass)
Error in if (!length(fname) || !any(fname == zname)) { :
missing value where TRUE/FALSE needed
I have debugged for a while, but no success. Does anyone know what
happens?
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] lrm in Design package--missing value where TRUE/FALSE needed
Hi,
A error message arose while I was trying to fit a ordinal model with lrm() I am
using R 2.8 with Design package.
Here is a small set of mydata:
RC RS Sex CovACovBCovCCovDCovE
2 1 0 1 1 0 -0.0055752802
2 1 0 1 0 1 -0.0019595802
3 0 0 0 1 0 -0.0047258802
0 0 0 1 0 0 -0.0055048502
2 1 1 0 0 0 -0.0038801701
2 1 0 0 1 0 -0.0060742302
2 1 0 0 1 1 -0.0039639202
2 1 0 0 1 00.0006582302
2 1 0 1 0 1 -0.0020336102
0 0 0 0 0 1 -0.0077617702
0 0 0 0 1 1 -0.0009517842
Note: In the complete data, there are NAs. But the error messages showed in
both the complete and above sets.
>attach(mydata)
>lrm(RC~RS+Sex+CovA+CovB+CovC+CovD+CovE,data=mydata,na.action=na.pass)
singular information matrix in lrm.fit (rank= 8 ). Offending variable(s):
CovE
Error in j:(j + params[i] - 1) : NA/NaN argument
>detach(mydata)
>lrm(mydata$RC~ mydata$RS+ mydata$Sex+ mydata$CovA+ mydata$CovB+ mydata$CovC+
>mydata$CovD+ mydata$CovE,data=mydata,na.action=na.pass)
Error in if (!length(fname) || !any(fname == zname)) { :
missing value where TRUE/FALSE needed
I have debugged for a while, but no success. Does anyone know what happens?
Thanks,
Mike
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
