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]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.