library(flowClust)
load("flowClust_debug.rda")#see the attached file
tmix_results <- flowClust(fr, varNames = channels, K = 5, trans = 0, usePrior = "yes", prior = prior)
Using the serial version of flowClust
*** caught segfault ***
address (nil), cause 'unknown'
Traceback:
1: .C("flowClust", as.double(t(y)), as.integer(ly), as.integer(py), as.integer(K[i]), w = rep(0, K[i]), mu = rep(0, K[i] * py), precision = initprec, lambda = as.double(rep(lambda, length.out = (if (trans > 1) K[i] else 1))), nu = as.double(rep(nu, K[i])), z = rep(0, ly * K[i]), u = rep(0, ly * K[i]), as.integer(if (M == 0) label else maxLabel[[M]]), uncertainty = double(ly), as.double(rep(u.cutoff, K[i])), as.double(z.cutoff), flagOutliers = integer(ly), as.integer(B), as.double(tol), as.integer(trans), as.integer(nu.est), logLike = as.double(0), as.integer(control$B.lambda), as.integer(control$B.brent), as.double(control$tol.brent), as.double(control$xLow), as.double(control$xUp), as.double(control$nuLow), as.double(control$nuUp), mu0 = as.double(t(Mu0)), as.double(kappa0), nu0 = as.double(nu0), lambda0 = as.double(Lambda0), omega0 = as.double(Omega0), w0 = as.double(w0), as.integer(.model), oorder = as.integer(oorder), PACKAGE = "flowClust")
2: doTryCatch(return(expr), name, parentenv, handler)
3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
4: tryCatchList(expr, classes, parentenv, handlers)
5: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call)[1L] prefix <- paste("Error in", dcall, ": ") LONG <- 75L msg <- conditionMessage(e) sm <- strsplit(msg, "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && identical(getOption("show.error.messages"), TRUE)) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
6: try(.C("flowClust", as.double(t(y)), as.integer(ly), as.integer(py), as.integer(K[i]), w = rep(0, K[i]), mu = rep(0, K[i] * py), precision = initprec, lambda = as.double(rep(lambda, length.out = (if (trans > 1) K[i] else 1))), nu = as.double(rep(nu, K[i])), z = rep(0, ly * K[i]), u = rep(0, ly * K[i]), as.integer(if (M == 0) label else maxLabel[[M]]), uncertainty = double(ly), as.double(rep(u.cutoff, K[i])), as.double(z.cutoff), flagOutliers = integer(ly), as.integer(B), as.double(tol), as.integer(trans), as.integer(nu.est), logLike = as.double(0), as.integer(control$B.lambda), as.integer(control$B.brent), as.double(control$tol.brent), as.double(control$xLow), as.double(control$xUp), as.double(control$nuLow), as.double(control$nuUp), mu0 = as.double(t(Mu0)), as.double(kappa0), nu0 = as.double(nu0), lambda0 = as.double(Lambda0), omega0 = as.double(Omega0), w0 = as.double(w0), as.integer(.model), oorder = as.integer(oorder), PACKAGE = "flowClust"))
7: FUN(X[[i]], ...)
8: lapply(as.list(1:length(K)), .flowClustK, y, expName = expName, varNames = varNames, K = K, criterion = criterion, nu = nu, lambda = lambda, trans = trans, min.count = min.count, max.count = max.count, min = min, max = max, randomStart = randomStart, include = include, rm.max, rm.min, prior, usePrior, ...)
9: flowClust(fr, varNames = channels, K = 5, trans = 0, usePrior = "yes", prior = prior)
here is the reproducible data