CRAN Package Check Results for Package rEDM

Last updated on 2026-09-09 17:49:54 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	2.28	238.33	240.61	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	3.92	207.03	210.95	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	22.00	23.00	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 2026-09-09 21:39:02.590 R[64705:108253] 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$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$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()) } 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]]) Traceback: 1: RowCumsum(valid) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: Traceback: ComputeError(predictions$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, ": ") 1: RowCumsum(valid)19: tryCatchList(expr, classes, parentenv, handlers) LONG <- 75L 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$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 ") } if (w > LONG) else prefix <- "Error : " prefix <- paste0(prefix, "\n ") } else prefix <- "Error : "20: msg <- paste0(prefix, conditionMessage(e), "\n")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) Traceback: .Internal(seterrmessage(msg[1L])) 1: msg <- paste0(prefix, conditionMessage(e), "\n")25: eval(expr, envir) 26: if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 12: .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) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) RowCumsum(valid)15: withVisible(eval(expr, envir)) 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]])27: 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) try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 2: FindNeighbors(embedding, lib_i, pred_i, knn, exclusionRadius = exclusionRadius, validLib = validLib, libOverlap = idx$libOverlap, backend = backend, tieBreak = FALSE, verbose = verbose) withCallingHandlers(code, error = function (e) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: lapply(seq_len(cores), inner.do) 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) 17: doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: rlang::entrace(e), message = function (cnd) tryCatch(parallel::mclapply(values, worker, mc.cores = cores, 25: mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 22: unlist(SweepApply(theta, worker, numProcess)){ 3: SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend) 4: ComputeError(predictions$Observations, predictions$Predictions) 5: SweepRho(SMap(dataFrame, columns, target, lib, pred, E = E, Tp = Tp, watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") } knn = knn, tau = tau, theta = th, exclusionRadius = exclusionRadius, embedded = embedded, validLib = validLib, noTime = noTime, ignoreNan = ignoreNan, backend = backend)$predictions) }, warning = function (cnd) 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)) {23: {eval(expr, envir)PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", 26: withVisible(eval(expr, envir)) 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$capture_plot_and_output() if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (getOption("warn") >= 2 || getOption("warn") < 0) { target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: eval(expr, envir) 25: eval(expr, envir) 26: withVisible(eval(expr, envir)) 27: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) { watcher$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$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { return() invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$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) } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_message$capture) { 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) if (!silent && isTRUE(getOption("show.error.messages"))) { watcher$push(cnd) cat(msg, file = outFile) if (on_warning$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"), } 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$push(cnd) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 12: try(lapply(X = S, FUN = FUN, ...), silent = TRUE) 13: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) 14: FUN(X[[i]], ...) 15: lapply(seq_len(cores), inner.do) 16: parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE) 17: doTryCatch(return(expr), name, parentenv, handler) 18: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 19: tryCatchList(expr, classes, parentenv, handlers) 20: tryCatch(parallel::mclapply(values, worker, mc.cores = cores, mc.preschedule = TRUE), error = function(e) NULL) 21: SweepApply(theta, worker, numProcess) 36: switch(on_error, continue = invokeRestart("eval_continue"), 22: stop = invokeRestart("eval_stop"), error = NULL)withRestartList(expr, restarts) 37: unlist(SweepApply(theta, worker, numProcess))}) stop = invokeRestart("eval_stop"), error = NULL) 23: PredictNonlinear(dataFrame = Thrips, columns = "Thrips_imaginis", target = "Thrips_imaginis", lib = "1 73", pred = "1 73", E = E, showPlot = TRUE) 24: withRestarts(with_handlers({eval(expr, envir)}) for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output()25: watcher$print_value(ev$value, ev$visible, envir)28: 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")28: } }eval(call)}, warning = function (cnd) eval(call) 29: eval(call) TRUE{ if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd)}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 30: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } } TRUE29: }, handlers) 31: doWithOneRestart(return(expr), restart)38: evaluate::evaluate(...) if (on_warning$silence) { invokeRestart("muffleWarning") }eval(call) 30: with_handlers({ }, error = function (cnd) for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir))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{ watcher$capture_plot_and_output() watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) }32: TRUE}, handlers) cnd <- sanitize_call(cnd) 31: doWithOneRestart(return(expr), restart)withOneRestart(expr, restarts[[1L]]) }, output_handler = knit_handlers(options$render, options)) 40: in_dir(input_dir(), expr) 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, watcher$push(cnd) 32: withOneRestart(expr, restarts[[1L]]) keep_warning = if (is.numeric(options$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)33: withRestartList(expr, restarts[-nr]) 34: doWithOneRestart(return(expr), restart) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = NULL)}) 28: 35: 33: eval(call)43: block_exec(params) 44: call_block(x) 45: withRestartList(expr, restarts[-nr]) 34: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])process_group(group) 36: withRestartList(expr, restarts)doWithOneRestart(return(expr), restart) 35: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 36: withRestartList(expr, restarts) 37: withRestarts(with_handlers({46: 29: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { for (expr in tle$exprs) { 37: eval(call)withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) if (progress && is.function(pb$interrupt)) ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) } pb$interrupt() TRUE38: 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$render, options)) 30: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir))}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 38: evaluate::evaluate(...)40: if (is_R_CMD_build() || is_R_CMD_check()) 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, error <<- format(e) }) 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$render, options))) 39: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), stop_on_error = if (is.numeric(options$error)) options$error else { watcher$capture_plot_and_output() if (options$error && options$include) 0L watcher$print_value(ev$value, ev$visible, envir) } else 2L }, output_handler = knit_handlers(options$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 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) {42: TRUEeng_r(options) 43: block_exec(params) 44: call_block(x) else 2L if (progress && is.function(pb$interrupt)) pb$interrupt()45: process_group(group) }, output_handler = knit_handlers(options$render, options))) if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd)46: }, handlers)withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { write_utf8(res, output %n% stdout()) 31: doWithOneRestart(return(expr), restart) 32: withOneRestart(expr, restarts[[1L]]) 33: withRestartList(expr, restarts[-nr])42: if (progress && is.function(pb$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$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule())) 34: doWithOneRestart(return(expr), restart)}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)eng_r(options) paste0("\nQuitting from ", loc, if (!is.null(error)) 49: process_file(text, output) 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) paste0("\n", rule(), error, "\n", rule()))52: vweave_rmarkdown(...) 53: engine$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler)43: }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) block_exec(params) 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$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE) 38: evaluate::evaluate(...) 49: process_file(text, output)39: 55: 50: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 51: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 52: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, 44: vweave_rmarkdown(...) 53: engine$weave(file, quiet = quiet, encoding = enc) call_block(x) 45: process_group(group) keep_message = if (is.numeric(options$message)) TRUE else options$message, 54: 46: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), doTryCatch(return(expr), name, parentenv, handler)tryCatchOne(expr, names, parentenv, handlers[[1L]]) 56: tryCatchList(expr, classes, parentenv, handlers) stop_on_error = if (is.numeric(options$error)) options$error else {55: tryCatchOne(expr, names, parentenv, handlers[[1L]]) error = function(e) { 57: if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))tryCatch({56: if (progress && is.function(pb$interrupt)) tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", 40: engine$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) { pb$interrupt()in_dir(input_dir(), expr) thisOK <<- FALSE 41: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$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$error else { if (is_R_CMD_build() || is_R_CMD_check()) engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpEQoaCa/filee861281480e8.rds") An irrecoverable exception occurred. R is aborting now ... error <<- format(e) }) 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$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$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }), list(rlang_trace_top_env = knit_global())), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from ", loc, if (!is.null(error)) paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 49: process_file(text, output) 50: if (options$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: 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$weave(file, quiet = quiet, encoding = enc) 54: doTryCatch(return(expr), name, parentenv, handler) 55: 58: tools::buildVignettes(dir = "/Volumes/Builds/packages/big-sur-arm64/results/4.5/rEDM.Rcheck/vign_test/rEDM", skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpEQoaCa/filee861281480e8.rds")withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), tryCatchOne(expr, names, parentenv, handlers[[1L]]) An irrecoverable exception occurred. R is aborting now ... error = function(e) { if (progress && is.function(pb$interrupt)) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) }) 56: 47: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) { if (progress && is.function(pb$interrupt)) tryCatchList(expr, classes, parentenv, handlers) 57: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) pb$interrupt() if (is_R_CMD_build() || is_R_CMD_check()) error <<- format(e) } 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/RtmpEQoaCa/filee861281480e8.rds") An irrecoverable exception occurred. R is aborting now ... }), 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/RtmpEQoaCa/filee861281480e8.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