But if you look at the matrix called "results", it returns NA for
the third spot corresponding to the model of y3:
>results
y1 y2 y3
[1,] 0.6976063 NA NA
If you run y3 in isolation, rather than through the loop, you can
see that it should work and contribute data to the matrix called
"results":
>mod.poly3 <- lrm(x[,3] ~ pol(x1, 3) + pol(x2, 3), data=x)
>anova(mod.poly3)[1,3]
[1] 0.6976063
Any ideas?
From: David Winsemius <dwinsem...@comcast.net>
To: Josh B <josh...@yahoo.com>
Cc: Peter Konings <peter.l.e.koni...@gmail.com>; R Help <r-help@r-project.org
>
Sent: Sun, July 18, 2010 3:33:07 PM
Subject: Re: [R] Continuing on with a loop when there's a failure
On Jul 18, 2010, at 4:25 AM, Josh B wrote:
> Hello Peter,
>
> I tried your suggestion, but I was still not able to get it to
work. Would you
> mind looking at my code again? Here's what I'm trying:
>
> 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)
closeAllConnections()
>
> results <- matrix(nrow = 1, ncol = 3)
> colnames(results) <- c("y1", "y2", "y3")
require(rms) # or Design
for (i in 1:2) {
mod.poly3 <- try(lrm(x[,i] ~ pol(x1, 3) + pol(x2, 3), data=x),
silent=TRUE)
if(class(mod.poly3)[1] != 'try-error')
{results[1,i] <- anova(mod.poly3)[1,3]}
}
> results
y1 y2 y3
[1,] 0.6976063 NA NA
>
>
> ...and here's the output:
>
>> results
> y1 y2 y3
> [1,] NA NA NA
>
> The results matrix is empty!
>
>
>
> ________________________________
> From: Peter Konings <peter.l.e.koni...@gmail.com>
>
> Sent: Tue, July 13, 2010 5:45:17 PM
> Subject: Re: [R] Continuing on with a loop when there's a failure
>
> Hi Josh,
>
> Test the class of the resulting object. If it is 'try-error' fill
your result
> with NA or do some other error handling.
>
> result <- try(somemodel)
> if(class(result) == 'try-error')
> {
> # some error handling
> } else {
> # whatever happens if the result is ok
> }
>
> HTH
> Peter.
>
>
>
>
> In my opinion the try and tryCatch commands are written and
documented rather
>> poorly. Thus I am not sure what to program exactly.
>>
>> For instance, I could query mod.poly3 and use an if/then
statement to proceed,
>> but querying mod.poly3 is weird. For instance, here's the output
when it fails:
>>
>>> mod.poly3 <- try(lrm(x[,2] ~ pol(x1, 3) + pol(x2, 3), data=x))
>>
>> Error in fitter(X, Y, penalty.matrix = penalty.matrix, tol = tol,
weights =
>> weights, :
>>
>> NA/NaN/Inf in foreign function call (arg 1)
>>> mod.poly3
>> [1] "Error in fitter(X, Y, penalty.matrix = penalty.matrix, tol =
tol, weights
> =
>> weights, : \n NA/NaN/Inf in foreign function call (arg 1)\n"
>> attr(,"class")
>> [1] "try-error"
>>
>> ...and here's the output when it succeeds:
>>> mod.poly3 <- try(lrm(x[,1] ~ pol(x1, 3) + pol(x2, 3), data=x))
>>> mod.poly3
>>
>> Logistic Regression Model
>>
>> lrm(formula = x[, 1] ~ pol(x1, 3) + pol(x2, 3), data = x)
>>
>>
>> Frequencies of Responses
>> bagels donuts
>> 10 5
>>
>> Obs Max Deriv Model L.R. d.f. P C
>> 15 4e-04 3.37 6 0.7616 0.76
>> Dxy Gamma Tau-a R2 Brier g
>> 0.52 0.52 0.248 0.279 0.183 1.411
>> gr gp
>> 4.1 0.261
>>
>> Coef S.E. Wald Z P
>> Intercept -5.68583 5.23295 -1.09 0.2772
>> x1 1.87020 2.14635 0.87 0.3836
>> x1^2 -0.42494 0.48286 -0.88 0.3788
>> x1^3 0.02845 0.03120 0.91 0.3618
>> x2 3.49560 3.54796 0.99 0.3245
>> x2^2 -0.94888 0.82067 -1.16 0.2476
>> x2^3 0.06362 0.05098 1.25 0.2121
>>
>> ...so what exactly would I query to design my if/then statement?
>>
>>
>>
>>
>> ________________________________
>>
>> From: David Winsemius <dwinsem...@comcast.net>
>> To: David Winsemius <dwinsem...@comcast.net>
>>
>> Sent: Tue, July 13, 2010 9:09:04 AM
>>
>> Subject: Re: [R] Continuing on with a loop when there's a failure
>>
>>
>>
>> On Jul 13, 2010, at 9:04 AM, David Winsemius wrote:
>>
>>>
>>> On Jul 13, 2010, at 8:47 AM, Josh B wrote:
>>>
>>>> Thanks again, David.
>>>>
>> [[elided Yahoo spam]]
>>
>>
>> (BTW, it did work.)
>>
>>>> Here's what I'm trying now:
>>>>
>>>> for (i in 1:2) {
>>>> mod.poly3 <- try(lrm(x[,i] ~ pol(x1, 3) + pol(x2, 3), data=x))
>>>> results[1,i] <- anova(mod.poly3)[1,3]
>>>> }
>>>
>>> You need to do some programming.
>>
>> (Or I suppose you could wrap both the lrm and the anova calls in
try.)
>>
>>> You did not get an error from the lrm but rather from the anova
call because
>>> you tried to give the results of the try function to anova
without first
>>> checking to see if an error had occurred.
>>>
>>> --David.
>>>>
>>>> Here's what happens (from the console):
>>>>
>>>> Error in fitter(X, Y, penalty.matrix = penalty.matrix, tol =
tol, weights =
>>>> weights, :
>>>> NA/NaN/Inf in foreign function call (arg 1)
>>>> Error in UseMethod("anova") :
>>>> no applicable method for 'anova' applied to an object of class
"try-error"
>>>>
>>>> ...so I still can't make my results matrix. Could I ask you for
some
> specific
>>>> code to make this work? I'm not that familiar with the syntax
for try or
>>>> tryCatch, and the help files for them are pretty bad, in my
humble opinion.
>>>>
>>>> I should clarify that I actually don't care about the failed
runs per se. I
>>>> just want R to keep going in spite of them and give me my
results matrix.
>>>>
>>>> From: David Winsemius <dwinsem...@comcast.net>
>>
>>
>>>> Cc: R Help <r-help@r-project.org>
>>>> Sent: Mon, July 12, 2010 8:09:03 PM
>>>> Subject: Re: [R] Continuing on with a loop when there's a failure
>>>>
>>>>
>>>> On Jul 12, 2010, at 6:18 PM, Josh B wrote:
>>>>
>>>>> 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?
>>>>
>>>> ?try
>>>>
>>>>
http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-can-I-capture-or-ignore-errors-in-a-long-simulation_003f
>>>>
>>>> f
>>>>
>>>> (Doesn't only apply to simulations.)
>>>>
>>>>> 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
>> [[elided Yahoo spam]]
>>
>>>>
>>>> --
>>>> David Winsemius, MD
>>>> West Hartford, CT
>>>>
>>>>
>>>>
>>>
>>> David Winsemius, MD
>>> West Hartford, CT
>>>
>>> ______________________________________________
>>> 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.
>>
>> David Winsemius, MD
>> West Hartford, CT
>>
>>
>>
>>
> [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> 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]]
>
> ______________________________________________
> 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.
David Winsemius, MD
West Hartford, CT
