R help - Jun 2017 - (no subject)

Hi every one I am working on shiny app using bnlearn for Bayesian networks and
using r studio I get a fatal error and when I use R GUI I get this error

** caught segfault ***

address 0xfffffffc0fcd6248, cause 'memory not mapped' Traceback: 1:
.Call("mappred", node = node, fitted = fitted, data = data, n
as.integer(n), from = from, prob = prob, debug = debug) 2:
map.prediction(node = node, fitted = object, data = data, n extra.args$n, from =
extra.args$from, prob = prob, debug = debug) 3:
predict.bn.fit(values10$fitted, input$targetvariables, combn2, prob TRUE, method
= "bayes-lw") 4: predict(values10$fitted,
input$targetvariables, combn2, prob = TRUE, method = "bayes-lw") 5:
t(attr(predict(values10$fitted, input$targetvariables, combn2, prob TRUE, method
= "bayes-lw"), "prob")) 6: observeEventHandler(...) 7:
..stacktraceon..(observeEventHandler(...)) 8: handlerFunc() 9:
..stacktraceon..(expr) 10: contextFunc() 11: env$runWith(self, func)
12: withReactiveDomain(.domain, { env <- .getReactiveEnvironment()
.graphEnterContext(id) on.exit(.graphExitContext(id), add = TRUE)
env$runWith(self, func)}). ......


I tried to get the latest version of R and rstudio but it still happens

is it my computer memory that is small ?? or something else

thanks in advance



best regards

	[[alternative HTML version deleted]]

> On Jun 15, 2017, at 3:05 PM, oussama bouldjedri <o_bouldjedri at
hotmail.fr> wrote:
> 
> Hi every one I am working on shiny app using bnlearn for Bayesian networks
and using r studio I get a fatal error and when I use R GUI I get this error
> 
> ** caught segfault ***
> 
> address 0xfffffffc0fcd6248, cause 'memory not mapped' Traceback: 1:
> .Call("mappred", node = node, fitted = fitted, data = data, n
> as.integer(n), from = from, prob = prob, debug = debug) 2:
> map.prediction(node = node, fitted = object, data = data, n >
extra.args$n, from = extra.args$from, prob = prob, debug = debug) 3:
> predict.bn.fit(values10$fitted, input$targetvariables, combn2, prob >
TRUE, method = "bayes-lw") 4: predict(values10$fitted,
> input$targetvariables, combn2, prob = TRUE, method = "bayes-lw")
5:
> t(attr(predict(values10$fitted, input$targetvariables, combn2, prob >
TRUE, method = "bayes-lw"), "prob")) 6:
observeEventHandler(...) 7:
> ..stacktraceon..(observeEventHandler(...)) 8: handlerFunc() 9:
> ..stacktraceon..(expr) 10: contextFunc() 11: env$runWith(self, func)
> 12: withReactiveDomain(.domain, { env <- .getReactiveEnvironment()
> .graphEnterContext(id) on.exit(.graphExitContext(id), add = TRUE)
> env$runWith(self, func)}). ......
> 
> 
> I tried to get the latest version of R and rstudio but it still happens
> 
> is it my computer memory that is small ?? or something else
As I already told you on SO, you should send a reproducible example to the
maintainer.
> 
> thanks in advance
> 
> 
> 
> best regards
> 
> 	[[alternative HTML version deleted]]
I did not suggest cross-posting to Rhelp, but if you are going to do so in the
future, could you please read the posting guide and set up your email client to
post in plain text?

(I doubt this error is due to RStudio or R. Shiny ... perhaps.
"bnlearn" ... most probably.)
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius
Alameda, CA, USA