CRAN Package Check Results for Package rEDM

Last updated on 2026-09-10 05:49:47 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.2 3.22 226.29 229.51 OK
r-devel-linux-x86_64-debian-gcc 2.0.2 2.61 214.26 216.87 OK
r-devel-linux-x86_64-fedora-clang 2.0.2 175.65 OK
r-devel-linux-x86_64-fedora-gcc 2.0.2 184.77 OK
r-devel-windows-x86_64 2.0.2 7.00 136.00 143.00 OK
r-patched-linux-x86_64 2.0.2 3.64 210.51 214.15 OK
r-release-linux-x86_64 2.0.2 3.44 203.68 207.12 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 6.00 130.00 136.00 OK
r-oldrel-macos-arm64 2.0.2 1.00 23.00 24.00 ERROR
r-oldrel-macos-x86_64 2.0.2 3.00 201.00 204.00 OK
r-oldrel-windows-x86_64 2.0.2 5.00 169.00 174.00 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 2026-09-10 10:31:31.023 R[46554:70633] 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' *** 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$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, Traceback: 1: RowCumsum(valid) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 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)$predictions) 6: FUN(X[[i]], ...) 7: lapply(X = S, FUN = FUN, ...) 8: doTryCatch(return(expr), name, parentenv, handler) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 10: tryCatchList(expr, classes, parentenv, handlers) 11: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$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) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) Traceback: if (!silent && isTRUE(getOption("show.error.messages"))) { 1: cat(msg, file = outFile)RowCumsum(valid) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 6: FUN(X[[i]], ...) 7: lapply(X = S, FUN = FUN, ...) .Internal(printDeferredWarnings()) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, 8: doTryCatch(return(expr), name, parentenv, handler) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) tau = tau, theta = th, exclusionRadius = exclusionRadius, 10: tryCatchList(expr, classes, parentenv, handlers) embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) } invisible(structure(msg, class = "try-error", condition = e))}) 12: 4: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)ComputeError(predictions$Observations, predictions$Predictions) 11: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 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)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) .Internal(printDeferredWarnings()) 6: 17: doTryCatch(return(expr), name, parentenv, handler) }18: 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)) FUN(X[[i]], ...)tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, 14: mc.preschedule = TRUE), error = function(e) NULL)FUN(X[[i]], ...) 21: 15: lapply(seq_len(cores), inner.do) SweepApply(theta, worker, numProcess)16: Traceback: 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) { 7: lapply(X = S, FUN = FUN, ...) invokeRestart("muffleMessage") 8: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) } 1: }, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd)doTryCatch(return(expr), name, parentenv, handler)17: watcher$push(cnd)doTryCatch(return(expr), name, parentenv, handler) } 9: tryCatchOne(expr, names, parentenv, handlers[[1L]])18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: RowCumsum(valid) 10: if (on_warning$silence) { invokeRestart("muffleWarning") 2: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, tryCatchList(expr, classes, parentenv, handlers) }}, 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) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 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$render, options))FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, 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) 11: 40: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) {in_dir(input_dir(), expr) 41: 24: eval(expr, envir) 25: if (identical(call[[1L]], quote(doTryCatch))) in_input_dir(evaluate(code, envir = env, new_device = FALSE, eval(expr, envir) 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$render, options))) 42: 26: eng_r(options) 43: block_exec(params)withVisible(eval(expr, envir)) tieBreak = FALSE, verbose = verbose) call <- sys.call(-4L)27: 44: call_block(x)withCallingHandlers(code, error = function (e) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L45: process_group(group) sm <- strsplit(conditionMessage(e), "\n")[[1L]]rlang::entrace(e), message = function (cnd) w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})46: embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 4: {15: watcher$capture_plot_and_output()lapply(seq_len(cores), inner.do) if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) {ComputeError(predictions$Observations, predictions$Predictions) if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: invokeRestart("muffleMessage")with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() error = function(e) { if (on_warning$capture) { 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) 6: FUN(X[[i]], ...) cnd <- sanitize_call(cnd) 7: lapply(X = S, FUN = FUN, ...) if (progress && is.function(pb$interrupt)) 8: pb$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), 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) doTryCatch(return(expr), name, parentenv, handler)17: error = function(e) { watcher$push(cnd) if (progress && is.function(pb$interrupt)) pb$interrupt() } if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) 9: tryCatchOne(expr, names, parentenv, handlers[[1L]]) paste0("\nQuitting from ", loc, if (!is.null(error)) doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: 10: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, tryCatchList(expr, classes, parentenv, handlers) paste0("\n", rule(), error, "\n", rule())) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)11: mc.preschedule = TRUE), error = function(e) NULL) if (on_warning$silence) {tryCatch(expr, error = function(e) {49: invokeRestart("muffleWarning") call <- conditionCall(e)process_file(text, output) } if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) }, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") stop = invokeRestart("eval_stop"), error = NULL) 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)}) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 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], 21: 28: eval(call) 29: 52: eval(call)vweave_rmarkdown(...) type = "b")SweepApply(theta, worker, numProcess)30: 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$capture_plot_and_output()with_handlers({ if (w > LONG) if (on_message$capture) { 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))}) 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) watcher$push(cnd) 53: engine$weave(file, quiet = quiet, encoding = enc) } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) {13: if (getOption("warn") >= 2 || getOption("warn") < 0) { return()54: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) } watcher$capture_plot_and_output() watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { invokeRestart("muffleWarning")doTryCatch(return(expr), name, parentenv, handler) watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: } }, 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)}) withRestartList(expr, restarts[-nr]) 14: FUN(X[[i]], ...) 15: 28: eval(call) 29: eval(call)lapply(seq_len(cores), inner.do) 34: 55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 58: 30: 16: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts)with_handlers({ parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE)37: 17: doTryCatch(return(expr), name, parentenv, handler)withRestarts(with_handlers({tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) watcher$capture_plot_and_output()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, skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpxD2bPe/file9481781071cb.rds") stop_on_error = if (is.numeric(options$error)) options$error else { watcher$print_value(ev$value, ev$visible, envir) } if (options$error && options$include) TRUEAn irrecoverable exception occurred. R is aborting now ... }, handlers)18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 31: doWithOneRestart(return(expr), restart) 32: 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, withOneRestart(expr, restarts[[1L]]) 19: stop_on_error = if (is.numeric(options$error)) options$error else {tryCatchList(expr, classes, parentenv, handlers) if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 42: eng_r(options) 43: block_exec(params) 44: 20: 33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])tryCatch(parallel::mclapply(values, worker, mc.cores = cores, call_block(x) 45: process_group(group) 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) mc.preschedule = TRUE), error = function(e) NULL) 21: 36: 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) 48: withRestartList(expr, restarts)xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) 37: pb$interrupt()withRestarts(with_handlers({ if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) for (expr in tle$exprs) { }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd)SweepApply(theta, worker, numProcess) write_utf8(res, output %n% stdout()) paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule())) ev <- withVisible(eval(expr, envir))22: unlist(SweepApply(theta, worker, numProcess)) 23: }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) watcher$capture_plot_and_output()24: eval(expr, envir)49: process_file(text, output) 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 38: evaluate::evaluate(...) 39: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, output_dir = getwd(), ...) 52: vweave_rmarkdown(...) 53: keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else {25: eval(expr, envir) 26: withVisible(eval(expr, envir)) if (options$error && options$include) 0Lengine$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler) 55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) else 2L }, output_handler = knit_handlers(options$render, options)) 40: 57: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$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: 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) }27: 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)))})withCallingHandlers(code, error = function (e) call_block(x) 45: process_group(group)rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) })58: }47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())) if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) {tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", 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) { skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpxD2bPe/file9481781071cb.rds") An irrecoverable exception occurred. R is aborting now ... 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(), ...) return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) {52: vweave_rmarkdown(...) 53: engine$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler) invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = NULL)}) 28: eval(call) 29: eval(call) 30: 55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$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)with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpxD2bPe/file9481781071cb.rds") }, handlers) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr]) An irrecoverable exception occurred. R is aborting now ... 34: doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) 37: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 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())) 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/RtmpxD2bPe/file9481781071cb.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