CRAN Package Check Results for Package rEDM

Last updated on 2026-11-13 23:55:11 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.2 3.68 225.13 228.81 OK
r-devel-linux-x86_64-debian-gcc 2.0.2 2.58 239.57 242.15 OK
r-devel-linux-x86_64-fedora-clang 2.0.2 174.74 OK
r-devel-linux-x86_64-fedora-gcc 2.0.2 188.27 OK
r-devel-windows-x86_64 2.0.2 4.00 139.00 143.00 OK
r-patched-linux-x86_64 2.0.2 4.32 208.12 212.44 OK
r-release-linux-x86_64 2.0.2 3.34 211.51 214.85 OK
r-release-macos-arm64 2.0.2 1.00 56.00 57.00 OK
r-release-macos-x86_64 2.0.2 3.00 208.00 211.00 OK
r-release-windows-x86_64 2.0.2 4.00 131.00 135.00 OK
r-oldrel-macos-arm64 2.0.2 ERROR
r-oldrel-macos-x86_64 2.0.2 3.00 201.00 204.00 OK
r-oldrel-windows-x86_64 2.0.2 8.00 156.00 164.00 OK

Check Details

Version: 2.0.2
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘rEDM-tutorial.Rmd’ using rmarkdown 2026-11-14 07:05:27.624 R[50641:78148] XType: Using static font registry. *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: RowCumsum(valid) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$Observations, predictions$Predictions) 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 6: FUN(X[[i]], ...) 7: lapply(X = S, FUN = FUN, ...) 8: doTryCatch(return(expr), name, parentenv, handler) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 10: tryCatchList(expr, classes, parentenv, handlers) 11: 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()) } Traceback: 1: RowCumsum(valid) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: invisible(structure(msg, class = "try-error", condition = e))}) 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: lapply(seq_len(cores), inner.do) 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) 17: doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 22: unlist(SweepApply(theta, worker, numProcess)) 23: PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: eval(expr, envir) 25: eval(expr, envir) 26: withVisible(eval(expr, envir)) *** caught segfault *** address 0x110, cause 'invalid permissions' 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") }SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: Traceback: ComputeError(predictions$Observations, predictions$Predictions) 1: RowCumsum(valid) 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 6: FUN(X[[i]], ...) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$Observations, predictions$Predictions) 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 6: FUN(X[[i]], ...) 7: lapply(X = S, FUN = FUN, ...) 8: doTryCatch(return(expr), name, parentenv, handler) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 10: tryCatchList(expr, classes, parentenv, handlers) 11: 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"))) { 7: cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: lapply(seq_len(cores), inner.do) 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) 17: doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 22: unlist(SweepApply(theta, worker, numProcess)) 23: PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: eval(expr, envir)}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = NULL)}) 28: eval(call) 29: eval(call) 30: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) 37: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) 25: eval(expr, envir) 26: withVisible(eval(expr, envir)) 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = NULL)}) TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 38: evaluate::evaluate(...)28: eval(call)lapply(X = S, FUN = FUN, ...) 29: eval(call) 30: with_handlers({ 8: for (expr in tle$exprs) {doTryCatch(return(expr), name, parentenv, handler) 39: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } keep_message = if (is.numeric(options$message)) TRUE else options$message, TRUE}, handlers) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) 37: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 40: in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 42: eng_r(options) 43: Traceback: 1: RowCumsum(valid)block_exec(params) 2: 44: call_block(x) 45: process_group(group) 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) 48: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 49: process_file(text, output) 50: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$Observations, predictions$Predictions) 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 6: FUN(X[[i]], ...) 7: lapply(X = S, FUN = FUN, ...) 8: doTryCatch(return(expr), name, parentenv, handler) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 10: tryCatchList(expr, classes, parentenv, handlers) 11: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 52: vweave_rmarkdown(...) watcher$print_value(ev$value, ev$visible, envir) }53: TRUEengine$weave(file, quiet = quiet, encoding = enc)}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE)10: w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], 54: type = "b")doTryCatch(return(expr), name, parentenv, handler) if (w > LONG) prefix <- paste0(prefix, "\n ")55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ } engine$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 else prefix <- "Error : "tryCatchList(expr, classes, parentenv, handlers) msg <- paste0(prefix, conditionMessage(e), "\n") fails <<- c(fails, file) .Internal(seterrmessage(msg[1L])) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))38: })evaluate::evaluate(...) 39: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 40: in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 42: eng_r(options) 43: block_exec(params) 44: call_block(x) 45: process_group(group) 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/Rtmp7xLpC4/filea52132f593e1.rds") An irrecoverable exception occurred. R is aborting now ... 48: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd)11: if (!silent && isTRUE(getOption("show.error.messages"))) {tryCatch(expr, error = function(e) { cat(msg, file = outFile) call <- conditionCall(e) if (!is.null(call)) { .Internal(printDeferredWarnings()) if (identical(call[[1L]], quote(doTryCatch))) write_utf8(res, output %n% stdout()) call <- sys.call(-4L) paste0("\nQuitting from ", loc, if (!is.null(error)) 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))}) paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 49: process_file(text, output) 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 52: vweave_rmarkdown(...) 53: engine$weave(file, quiet = quiet, encoding = enc) 54: 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: lapply(seq_len(cores), inner.do) 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) 17: doTryCatch(return(expr), name, parentenv, handler)doTryCatch(return(expr), name, parentenv, handler) } invisible(structure(msg, class = "try-error", condition = e))55: 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])tryCatchOne(expr, names, parentenv, handlers[[1L]])}) 19: 12: tryCatchList(expr, classes, parentenv, handlers)try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 22: unlist(SweepApply(theta, worker, numProcess)) 23: PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: eval(expr, envir) 25: eval(expr, envir) 26: withVisible(eval(expr, envir)) 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) {56: cnd <- sanitize_call(cnd)sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: tryCatchList(expr, classes, parentenv, handlers) 57: watcher$push(cnd)tryCatch({ } engine$weave(file, quiet = quiet, encoding = enc) if (on_warning$silence) { invokeRestart("muffleWarning")lapply(seq_len(cores), inner.do) 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) { 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) thisOK <<- FALSE 17: fails <<- c(fails, file)doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 22: unlist(SweepApply(theta, worker, numProcess)) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", } file, conditionMessage(e)))}) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/Rtmp7xLpC4/filea52132f593e1.rds") An irrecoverable exception occurred. R is aborting now ... }, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), 23: stop = invokeRestart("eval_stop"), error = NULL)}) PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", 28: eval(call) 29: eval(call) 30: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: eval(expr, envir) 25: eval(expr, envir) 26: withVisible(eval(expr, envir)) 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers) if (getOption("warn") >= 2 || getOption("warn") < 0) { return() }31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) watcher$capture_plot_and_output() 37: if (on_warning$capture) {withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) cnd <- sanitize_call(cnd) } watcher$push(cnd) } TRUE if (on_warning$silence) {}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) invokeRestart("muffleWarning") 38: evaluate::evaluate(...) } 39: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, }, error = function (cnd) stop_on_error = if (is.numeric(options$error)) options$error else {{ watcher$capture_plot_and_output() if (options$error && options$include) cnd <- sanitize_call(cnd) 0L watcher$push(cnd) else 2L switch(on_error, continue = invokeRestart("eval_continue"), }, output_handler = knit_handlers(options$render, options)) stop = invokeRestart("eval_stop"), error = NULL) })40: in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, 28: keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 42: eng_r(options) 43: block_exec(params) 44: call_block(x) 45: eval(call)process_group(group) 29: eval(call) 30: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) 37: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir)46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) 48: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 38: evaluate::evaluate(...) 39: setwd(wd)evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, write_utf8(res, output %n% stdout()) keep_message = if (is.numeric(options$message)) TRUE else options$message, paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule())) stop_on_error = if (is.numeric(options$error)) options$error else {}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) if (options$error && options$include) 49: 0Lprocess_file(text, output) else 2L50: }, output_handler = knit_handlers(options$render, options)) 40: in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 52: vweave_rmarkdown(...) keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 42: eng_r(options) 53: engine$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler) 55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$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)))}) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/Rtmp7xLpC4/filea52132f593e1.rds") 43: block_exec(params) 44: call_block(x) 45: process_group(group) 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) An irrecoverable exception occurred. R is aborting now ... pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) 48: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 49: process_file(text, output) 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 52: vweave_rmarkdown(...) 53: engine$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler) 55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$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)))}) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/Rtmp7xLpC4/filea52132f593e1.rds") An irrecoverable exception occurred. R is aborting now ... Quitting from rEDM-tutorial.Rmd:466-469 [smap_thrips] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `data.frame()`: ! arguments imply differing number of rows: 15, 0 --- Backtrace: ▆ 1. └─rEDM::PredictNonlinear(...) 2. └─base::data.frame(Theta = theta, rho = rho) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'rEDM-tutorial.Rmd' failed with diagnostics: arguments imply differing number of rows: 15, 0 --- failed re-building ‘rEDM-tutorial.Rmd’ SUMMARY: processing the following file failed: ‘rEDM-tutorial.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-oldrel-macos-arm64