############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data TitanCNA ### ############################################################################## ############################################################################## * checking for file ‘TitanCNA/DESCRIPTION’ ... OK * preparing ‘TitanCNA’: * checking DESCRIPTION meta-information ... OK * cleaning src * installing the package to build vignettes * creating vignettes ...sh: line 1: 52129 Segmentation fault: 11 '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/Rtmp9J8drB/xshellb8f57c3c6895' 2>&1 ERROR --- re-building ‘TitanCNA.Rnw’ using Sweave Warning: replacing previous import ‘GenomicRanges::shift’ by ‘data.table::shift’ when loading ‘TitanCNA’ Warning: replacing previous import ‘data.table::first’ by ‘dplyr::first’ when loading ‘TitanCNA’ Warning: replacing previous import ‘IRanges::desc’ by ‘dplyr::desc’ when loading ‘TitanCNA’ Warning: replacing previous import ‘BiocGenerics::setequal’ by ‘dplyr::setequal’ when loading ‘TitanCNA’ Warning: replacing previous import ‘IRanges::slice’ by ‘dplyr::slice’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::intersect’ by ‘dplyr::intersect’ when loading ‘TitanCNA’ Warning: replacing previous import ‘data.table::last’ by ‘dplyr::last’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::union’ by ‘dplyr::union’ when loading ‘TitanCNA’ Warning: replacing previous import ‘data.table::between’ by ‘dplyr::between’ when loading ‘TitanCNA’ Warning: replacing previous import ‘BiocGenerics::combine’ by ‘dplyr::combine’ when loading ‘TitanCNA’ Warning: replacing previous import ‘IRanges::collapse’ by ‘dplyr::collapse’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::setdiff’ by ‘dplyr::setdiff’ when loading ‘TitanCNA’ Warning: replacing previous import ‘dplyr::select’ by ‘VariantAnnotation::select’ when loading ‘TitanCNA’ titan: Loading data /private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/test_alleleCounts_chr2.txt Reading GC and mappability files Slurping: /private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/gc_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Slurping: /private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/map_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Loading tumour file:/private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/test_tum_chr2.wig Slurping: /private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/test_tum_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Loading normal file:/private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/test_norm_chr2.wig Slurping: /private/tmp/Rtmp9J8drB/Rinstb8f538ae0212/TitanCNA/extdata/test_norm_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Warning in .replace_seqlevels_style(x_seqlevels, value) : found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one Warning in .replace_seqlevels_style(x_seqlevels, value) : found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one Warning in .replace_seqlevels_style(x_seqlevels, value) : found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one Warning in .replace_seqlevels_style(x_seqlevels, value) : found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one Correcting Tumour Applying filter on data... Correcting for GC bias... Correcting for mappability bias... Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) : collapsing to unique 'x' values Correcting Normal Applying filter on data... Correcting for GC bias... Correcting for mappability bias... Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) : collapsing to unique 'x' values Normalizing Tumour by Normal Removed Chrs: titan: Running HMM... fwdBack: Iteration 1 chr: Warning: executing %dopar% sequentially: no parallel backend registered 1 Using Coordinate Descent iteration 11 with Fval=-30491 and n=0.3982 (map), s=[0.0083,0.3770], phi=1.501 fwdBack: loglik=-34152.7215 fwdBack: priorN=0.3631 fwdBack: priorS=-2.6667 fwdBack: priorVar=-437.2350 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.0944 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 1 complete loglik=-34532.0108 fwdBack: Elapsed time for iteration 1: 0.0393m fwdBack: Iteration 2 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26832 and n=0.2536 (map), s=[0.0091,0.4330], phi=1.468 fwdBack: loglik=-28977.9276 fwdBack: priorN=0.1273 fwdBack: priorS=-2.5349 fwdBack: priorVar=-749.6901 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.2568 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 2 complete loglik=-29669.9384 fwdBack: Elapsed time for iteration 2: 0.0416m fwdBack: Iteration 3 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26073 and n=0.2115 (map), s=[0.0069,0.4527], phi=1.483 fwdBack: loglik=-26347.5163 fwdBack: priorN=0.0008 fwdBack: priorS=-2.7979 fwdBack: priorVar=-819.7069 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.1829 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 3 complete loglik=-27109.8596 fwdBack: Elapsed time for iteration 3: 0.0389m fwdBack: Total elapsed time: 0.2046m outputTitanResults: Correcting results... outputTitanResults: Recomputing log-likelihood. titan: Running HMM... fwdBack: Iteration 1 chr: 1 *** caught segfault *** address 0x1, cause 'memory not mapped' Traceback: 1: eval(xpr, envir = envir) 2: eval(xpr, envir = envir) 3: doTryCatch(return(expr), name, parentenv, handler) 4: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 5: tryCatchList(expr, classes, parentenv, handlers) 6: tryCatch(eval(xpr, envir = envir), error = function(e) e) 7: doTryCatch(return(expr), name, parentenv, handler) 8: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 9: tryCatchList(expr, classes, parentenv, handlers) 10: tryCatch({ repeat { args <- nextElem(it) if (obj$verbose) { cat(sprintf("evaluation # %d:\n", i)) print(args) } for (a in names(args)) assign(a, args[[a]], pos = envir, inherits = FALSE) r <- tryCatch(eval(xpr, envir = envir), error = function(e) e) if (obj$verbose) { cat("result of evaluating expression:\n") print(r) } tryCatch(accumulator(list(r), i), error = function(e) { cat("error calling combine function:\n") print(e) NULL }) i <- i + 1 }}, error = function(e) { if (!identical(conditionMessage(e), "StopIteration")) stop(simpleError(conditionMessage(e), expr))}) 11: e$fun(obj, substitute(ex), parent.frame(), e$data) 12: foreach(c = 1:numChrs, .combine = rbind, .noexport = c("data")) %dopar% { if (verbose == TRUE) { message(c, " ", appendLF = FALSE) } .Call("fwd_backC_clonalCN", log(piGiZi[c, ]), py[, chrsI[[c]]], gNoOUTStateParams$ct, gNoOUTStateParams$ZS, Z, posn[chrsI[[c]]], txnZstrength * txnExpLen, txnExpLen, O) } 13: runEMclonalCN(data, newParams, maxiter = 1, txnExpLen = convergeParams$txn_exp_len, txnZstrength = convergeParams$txn_z_strength, useOutlierState = FALSE, normalEstimateMethod = "fixed", estimateS = FALSE, estimatePloidy = F, verbose = verbose) 14: removeEmptyClusters(data, convergeParams, outmat, proportionThreshold = proportionThreshold, proportionThresholdClonal = proportionThresholdClonal, recomputeLogLik = recomputeLogLik, verbose = verbose) 15: outputTitanResults(data, convergeParams, optimalPath, filename = NULL, posteriorProbs = FALSE, subcloneProfiles = TRUE, correctResults = TRUE, proportionThreshold = 0.05, proportionThresholdClonal = 0.05, is.haplotypeData = FALSE) 16: eval(expr, .GlobalEnv) 17: eval(expr, .GlobalEnv) 18: withVisible(eval(expr, .GlobalEnv)) 19: doTryCatch(return(expr), name, parentenv, handler) 20: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 21: tryCatchList(expr, classes, parentenv, handlers) 22: 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, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\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 && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 23: try(withVisible(eval(expr, .GlobalEnv)), silent = TRUE) 24: evalFunc(ce, options) 25: tryCatchList(expr, classes, parentenv, handlers) 26: tryCatch(evalFunc(ce, options), finally = { cat("\n") sink()}) 27: driver$runcode(drobj, chunk, chunkopts) 28: utils::Sweave(...) 29: engine$weave(file, quiet = quiet, encoding = enc) 30: doTryCatch(return(expr), name, parentenv, handler) 31: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 32: tryCatchList(expr, classes, parentenv, handlers) 33: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 34: tools::buildVignettes(dir = ".", tangle = TRUE) An irrecoverable exception occurred. R is aborting now ...