Handling error in function, notify then skip

Question

I am having trouble process a function that can both output regression summary to csv files, and process regression analysis. So the code looks like this:

I have three predicting variables: age1 (continuous), gender1 (categorical 0/1), FLUSHOT(categorical 0/1)

In the file, the first 100 columns are response variables (all categorical 0/1) I want to test.

The goal is to do regression analysis with each of the response variables(1:100), and only output p-value, OR, and CI.

So the code I have is something looks like this:

fun1<-function(x){
  res<-c(paste(as.character(summary(x)$call),collapse = " "),
         summary(x)$coefficients[4,4],
         exp(coef(x))[4],
         exp(confint(x))[4,1:2],"\n")

  names(res)<-c("call","p-value","OR","LCI","UCI","")
  return(res)}


res2=NULL
lms=list()
for(i in 1:100)
{
  lms[[i]]=glm(A[,i]~age1+gender1+as.factor(FLUSHOT),family="binomial",data=A)               
  res2<-rbind(res2,fun1(lms[[i]]))
}
write.csv(res2,"A_attempt1.csv",row.names=F)

If for example, we have sufficient sample size in each categories, or if the marginal frequency looks like this:

table(variable1,FLUESHOT)
   0    1
0  15   3
1  11   19

This code works well, but if we have something like:

 table(variable15,FLUESHOT)
       0    1
    0  15   0
    1  11   19

The code run into a error, report, and stops.

I tried multiple ways of using try() and tryCatch() , but didn't seems to work for me.

Answer 1

What error message do you see? You can try using lrm from the rms package to estimate the logistic regression model. And texreg to output it to csv.