############################################################################## ############################################################################## ### ### 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: 41360 Segmentation fault: 11 '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/RtmpLQSyPq/xshell8c0a74632d88' 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 ‘GenomeInfoDb::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/RtmpLQSyPq/Rinst8c0a21c7caa6/TitanCNA/extdata/test_alleleCounts_chr2.txt Reading GC and mappability files Slurping: /private/tmp/RtmpLQSyPq/Rinst8c0a21c7caa6/TitanCNA/extdata/gc_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Slurping: /private/tmp/RtmpLQSyPq/Rinst8c0a21c7caa6/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/RtmpLQSyPq/Rinst8c0a21c7caa6/TitanCNA/extdata/test_tum_chr2.wig Slurping: /private/tmp/RtmpLQSyPq/Rinst8c0a21c7caa6/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/RtmpLQSyPq/Rinst8c0a21c7caa6/TitanCNA/extdata/test_norm_chr2.wig Slurping: /private/tmp/RtmpLQSyPq/Rinst8c0a21c7caa6/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=-30474 and n=0.3981 (map), s=[0.0083,0.3772], phi=1.501 fwdBack: loglik=-34146.8566 fwdBack: priorN=0.3631 fwdBack: priorS=-2.6677 fwdBack: priorVar=-440.3139 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.0956 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 1 complete loglik=-34529.2271 fwdBack: Elapsed time for iteration 1: 0.0426m fwdBack: Iteration 2 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26804 and n=0.2535 (map), s=[0.009,0.433], phi=1.468 fwdBack: loglik=-28950.7414 fwdBack: priorN=0.1269 fwdBack: priorS=-2.5365 fwdBack: priorVar=-755.3014 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.2568 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 2 complete loglik=-29648.3656 fwdBack: Elapsed time for iteration 2: 0.0398m fwdBack: Iteration 3 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26043 and n=0.2112 (map), s=[0.0069,0.4529], phi=1.483 fwdBack: loglik=-26311.7666 fwdBack: priorN=-0.0003 fwdBack: priorS=-2.7998 fwdBack: priorVar=-826.1121 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.1830 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 3 complete loglik=-27080.5182 fwdBack: Elapsed time for iteration 3: 0.0397m fwdBack: Total elapsed time: 0.2105m 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 ...