sem package, suppress warnings
Dear Dustin and Steve, For some reason, I didn't see Dustin's original message. As documented in ?sem, the warn argument to sem() covers only warnings directly produced by the optimizer, "warn: if TRUE, warnings produced by the optimization function will be printed. This should generally not be necessary, since sem prints its own warning, and saves information about convergence. The default is FALSE." It doesn't cover the warnings produced by sem() itself. For that, you can do as Steve suggests, or simply set options(warn = -1). The debug argument is FALSE by default and if TRUE prints the iteration history and some additional information; it is irrelevant to warnings. I hope this helps, John ----------------------------------------------- John Fox Senator McMaster Professor of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada
-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Steve Taylor Sent: Sunday, January 20, 2013 3:22 PM To: Dustin Fife; r-help Subject: Re: [R] sem package, suppress warnings Have you tried suppressWarnings(sem(mod, S = as.matrix(dataset), N = 1000, maxiter = 10000, warn = FALSE))
-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On
Behalf Of Dustin Fife Sent: Saturday, 19 January 2013 5:32a To: r-help Subject: [R] sem package, suppress warnings Hi, I'm using the sem package under conditions where I know beforehand
that
several models will be problematic. Because of that, I want to
suppress
warnings. I've used the following code
sem(mod, S = as.matrix(dataset), N = 1000, maxiter = 10000,
warn = FALSE)
But I still get warnings. I've also tried adding "check.analytic =
FALSE,
debug = FALSE," and that doesn't seem to do it either. Any ideas why
it's
not working? It may be important to note that the command above is wrapped within a function and I'm using "try()" to avoid errors. Thanks in advance! -- Dustin Fife PhD Student Quantitative Psychology University of Oklahoma [[alternative HTML version deleted]]
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______________________________________________ R-help at 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.