Hi R sages,

Here is my latest problem. Consider the following toy example:

x <- read.table(textConnection("y1 y2 y3 x1 x2
indv.1 bagels donuts bagels 4 6
indv.2 donuts donuts donuts 5 1
indv.3 donuts donuts donuts 1 10
indv.4 donuts donuts donuts 10 9
indv.5 bagels donuts bagels 0 2
indv.6 bagels donuts bagels 2 9
indv.7 bagels donuts bagels 8 5
indv.8 bagels donuts bagels 4 1
indv.9 donuts donuts donuts 3 3
indv.10 bagels donuts bagels 5 9
indv.11 bagels donuts bagels 9 10
indv.12 bagels donuts bagels 3 1
indv.13 donuts donuts donuts 7 10
indv.14 bagels donuts bagels 2 10
indv.15 bagels donuts bagels 9 6"), header = TRUE)

I want to fit a logistic regression of y1 on x1 and x2. Then I want to run a 
logistic regression of y2 on x1 and x2. Then I want to run a logistic 
regression 
of y3 on x1 and x2. In reality I have many more Y columns than simply "y1," 
"y2," and "y3," so I must design a loop. Notice that y2 is invariant and thus 
it 
will fail. In reality, some y columns will fail for much more subtle reasons. 
Simply screening my data to eliminate invariant columns will not eliminate the 
problem.

What I want to do is output a piece of the results from each run of the loop to 
a matrix. I want the to try each of my y columns, and not give up and stop 
running simply because a particular y column is bad. I want it to give me "NA" 
or something similar in my results matrix for the bad y columns, but I want it 
to keep going give me good data for the good y columns.

For instance:
results <- matrix(nrow = 1, ncol = 3)
colnames(results) <- c("y1", "y2", "y3")

for (i in 1:2) {
mod.poly3 <- lrm(x[,i] ~ pol(x1, 3) + pol(x2, 3), data=x)
results[1,i] <- anova(mod.poly3)[1,3]
}

If I run this code, it gives up when fitting y2 because the y2 is bad. It 
doesn't even try to fit y3. Here's what my console shows:

> results
            y1 y2 y3
[1,] 0.6976063 NA NA

As you can see, it gave up before fitting y3, which would have worked.

How do I force my code to keep going through the loop, despite the rotten 
apples 
it encounters along the way? Exact code that gets the job done is what I am 
interested in. I am a post-doc -- I am not taking any classes. I promise this 
is 
not a homework assignment!

Thanks in advance,
-----------------------------------
Josh Banta, Ph.D
Center for Genomics and Systems Biology
New York University
100 Washington Square East
New York, NY 10003
Tel: (212) 998-8465
http://plantevolutionaryecology.org



      
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