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?
T
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,
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 -0.005575280
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.
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
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