Re: [R] glm output format

2010-06-05 Thread Allan Engelhardt

Look at help(tryCatch) and help(try).

Hope this helps a little

Allan

On 05/06/10 04:21, Bojuan Zhao wrote:

Hello,
  
I am running a loop to compare some residual deviances obtained from glm, with codes:


  
OUT-NULL
for (i in 1:10){ 
myglm-glm(mat ~X1+X2+X3,family = binomial, data =myDATA)

OUT-c(OUT,myglm$deviance) }
  
...
  
In the loop, X1, X2, and X3 chage with i. If X1, X2 and X3 are not highly correlated, OUT is a vector of 10 values.
  
The problem is:  if there there is one set of X1,X2,X3 that are highly correlated, the program stopped, with error message: qr.solve(qr.R(object$qr)[p1, p1]) : singular matrix 'a' in solve.  
  
I wonder if there is a way I can skip the highly correlated case and get a NA as the response, instead of letting the whole loop stop with no OUT output at all.  That is, I want to get the OUT vector with 9 values and one NA. 
  
Is there a way I can do so?
  
Many Thanks,

Barbara


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[R] glm output format

2010-06-04 Thread Bojuan Zhao
Hello, 
 
I am running a loop to compare some residual deviances obtained from glm, with 
codes: 

 
OUT-NULL
for (i in 1:10){ 
myglm-glm(mat ~X1+X2+X3,family = binomial, data =myDATA)
OUT-c(OUT,myglm$deviance) } 
 
...
 
In the loop, X1, X2, and X3 chage with i. If X1, X2 and X3 are not highly 
correlated, OUT is a vector of 10 values. 
 
The problem is:  if there there is one set of X1,X2,X3 that are highly 
correlated, the program stopped, with error message: 
qr.solve(qr.R(object$qr)[p1, p1]) : singular matrix 'a' in solve.  
 
I wonder if there is a way I can skip the highly correlated case and get a NA 
as the response, instead of letting the whole loop stop with no OUT output at 
all.  That is, I want to get the OUT vector with 9 values and one NA. 
 
Is there a way I can do so? 
 
Many Thanks,
Barbara
 
 
 


  
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