Error(s) in re-building vignettes:
  ...
--- re-building ‘c1_background_EN.Rmd’ using rmarkdown
--- finished re-building ‘c1_background_EN.Rmd’

--- re-building ‘c1_background_ES.Rmd’ using rmarkdown
--- finished re-building ‘c1_background_ES.Rmd’

--- re-building ‘c2_getting_started_EN.Rmd’ using rmarkdown
--- finished re-building ‘c2_getting_started_EN.Rmd’

--- re-building ‘c2_getting_started_ES.Rmd’ using rmarkdown
--- finished re-building ‘c2_getting_started_ES.Rmd’

--- re-building ‘c3_rasch_adults_EN.Rmd’ using rmarkdown
--- finished re-building ‘c3_rasch_adults_EN.Rmd’

--- re-building ‘c3_rasch_adults_ES.Rmd’ using rmarkdown
--- finished re-building ‘c3_rasch_adults_ES.Rmd’

--- re-building ‘c4_rasch_children_EN.Rmd’ using rmarkdown
--- finished re-building ‘c4_rasch_children_EN.Rmd’

--- re-building ‘c4_rasch_children_ES.Rmd’ using rmarkdown
--- finished re-building ‘c4_rasch_children_ES.Rmd’

--- re-building ‘c5_best_practices_EN.Rmd’ using rmarkdown
--- finished re-building ‘c5_best_practices_EN.Rmd’

--- re-building ‘c5_best_practices_ES.Rmd’ using rmarkdown
--- finished re-building ‘c5_best_practices_ES.Rmd’

--- re-building ‘c6_after_rasch_EN.Rmd’ using rmarkdown

 *** caught segfault ***
address 0xe0000000d, cause 'memory not mapped'

Traceback:
 1: .Call(dplyr_mask_eval_all_summarise, quo, private)
 2: eval()
 3: mask$eval_all_summarise(quo)
 4: FUN(X[[i]], ...)
 5: lapply(.x, .f, ...)
 6: map(quosures, summarise_eval_one, mask = mask)
 7: withCallingHandlers({    for (i in seq_along(dots)) {        poke_error_context(dots, i, mask = mask)        context_poke("column", old_current_column)        dot <- dots[[i]]        dot <- expand_pick(dot, mask)        quosures <- expand_across(dot)        quosures_results <- map(quosures, summarise_eval_one,             mask = mask)        for (k in seq_along(quosures)) {            quo <- quosures[[k]]            quo_data <- attr(quo, "dplyr:::data")            quo_result <- quosures_results[[k]]            if (is.null(quo_result)) {                next            }            types_k <- quo_result$types            chunks_k <- quo_result$chunks            results_k <- quo_result$results            if (!quo_data$is_named && is.data.frame(types_k)) {                chunks_extracted <- .Call(dplyr_extract_chunks,                   chunks_k, types_k)                types_k_names <- names(types_k)                for (j in seq_along(chunks_extracted)) {                  mask$add_one(name = types_k_names[j], chunks = chunks_extracted[[j]],                     result = results_k[[j]])                }                chunks <- append(chunks, chunks_extracted)                types <- append(types, as.list(types_k))                results <- append(results, results_k)                out_names <- c(out_names, types_k_names)            }            else {                name <- dplyr_quosure_name(quo_data)                mask$add_one(name = name, chunks = chunks_k,                   result = results_k)                chunks <- append(chunks, list(chunks_k))                types <- append(types, list(types_k))                results <- append(results, list(results_k))                out_names <- c(out_names, name)            }        }    }    if (verb == "summarise") {        .Call(dplyr_summarise_check_all_size_one, chunks, n_groups)        group_sizes <- NULL    }    else {        group_sizes <- .Call(dplyr_reframe_recycle_horizontally_in_place,             chunks, results, n_groups)        for (i in seq_along(chunks)) {            if (is.null(results[[i]])) {                results[[i]] <- vec_c(!!!chunks[[i]], .ptype = types[[i]])            }        }    }}, error = function(cnd) {    if (inherits(cnd, "dplyr:::reframe_incompatible_size")) {        action <- "recycle"        i <- cnd$dplyr_error_data$index_expression    }    else if (inherits(cnd, "dplyr:::summarise_incompatible_size")) {        action <- "compute"        i <- cnd$dplyr_error_data$index_expression    }    else {        action <- "compute"        i <- i    }    handler <- dplyr_error_handler(dots = dots, mask = mask,         bullets = summarise_bullets, error_call = error_call,         action = action)    handler(cnd)}, warning = dplyr_warning_handler(state = warnings_state, mask = mask,     error_call = error_call))
 8: summarise_cols(.data, dplyr_quosures(...), by, "summarise")
 9: summarise.grouped_df(.data$variables, !!!.dots, .groups = .groups)
10: dplyr::summarise(.data$variables, !!!.dots, .groups = .groups)
11: summarise.grouped_svy(., prop = survey_mean(na.rm = TRUE))
12: summarize(., prop = survey_mean(na.rm = TRUE))
13: mutate(., prop = prop * 100)
14: des %>% group_by_at(c(by_vars, "item", "resp")) %>% summarize(prop = survey_mean(na.rm = TRUE)) %>%     mutate(prop = prop * 100)
15: table_weightedpct(df = df_adults_noNA, vars_ids = "PSU", vars_strata = "strata",     vars_weights = "weight", formula_vars = paste0("EF", 1:12),     formula_vars_levels = 1:5, by_vars = "disability_cat", spread_key = NULL,     spread_value = "prop", arrange_vars = NULL, willfilter = NULL)
16: eval(expr, envir)
17: eval(expr, envir)
18: withVisible(eval(expr, envir))
19: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) {    watcher$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$push(cnd)    switch(on_error, continue = invokeRestart("eval_continue"),         stop = invokeRestart("eval_stop"), error = NULL)})
20: eval(call)
21: eval(call)
22: with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers)
23: doWithOneRestart(return(expr), restart)
24: withOneRestart(expr, restarts[[1L]])
25: withRestartList(expr, restarts[-nr])
26: doWithOneRestart(return(expr), restart)
27: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
28: withRestartList(expr, restarts)
29: withRestarts(with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE)
30: evaluate::evaluate(...)
31: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$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))
32: in_dir(input_dir(), expr)
33: 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$render, options)))
34: eng_r(options)
35: block_exec(params)
36: call_block(x)
37: process_group(group)
38: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    })
39: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global()))
40: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global())), function(loc) {    setwd(wd)    write_utf8(res, output %n% stdout())    paste0("\nQuitting from ", loc, if (!is.null(error))         paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
41: process_file(text, output)
42: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
43: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),     output_dir = getwd(), ...)
44: vweave_rmarkdown(...)
45: engine$weave(file, quiet = quiet, encoding = enc)
46: doTryCatch(return(expr), name, parentenv, handler)
47: tryCatchOne(expr, names, parentenv, handlers[[1L]])
48: tryCatchList(expr, classes, parentenv, handlers)
49: 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)    }}, error = function(e) {    OK <<- FALSE    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)), domain = NA)})
50: tools:::.buildOneVignette("c6_after_rasch_EN.Rmd", "/home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/whomds.Rcheck/vign_test/whomds",     TRUE, FALSE, "c6_after_rasch_EN", "UTF-8", "/home/hornik/tmp/scratch/RtmpvQC0Y1/fileefd552664388.rds")
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault
--- re-building ‘c6_after_rasch_ES.Rmd’ using rmarkdown

 *** caught segfault ***
address 0x2550000023f, cause 'memory not mapped'

Traceback:
 1: .Call(dplyr_mask_eval_all_summarise, quo, private)
 2: eval()
 3: mask$eval_all_summarise(quo)
 4: FUN(X[[i]], ...)
 5: lapply(.x, .f, ...)
 6: map(quosures, summarise_eval_one, mask = mask)
 7: withCallingHandlers({    for (i in seq_along(dots)) {        poke_error_context(dots, i, mask = mask)        context_poke("column", old_current_column)        dot <- dots[[i]]        dot <- expand_pick(dot, mask)        quosures <- expand_across(dot)        quosures_results <- map(quosures, summarise_eval_one,             mask = mask)        for (k in seq_along(quosures)) {            quo <- quosures[[k]]            quo_data <- attr(quo, "dplyr:::data")            quo_result <- quosures_results[[k]]            if (is.null(quo_result)) {                next            }            types_k <- quo_result$types            chunks_k <- quo_result$chunks            results_k <- quo_result$results            if (!quo_data$is_named && is.data.frame(types_k)) {                chunks_extracted <- .Call(dplyr_extract_chunks,                   chunks_k, types_k)                types_k_names <- names(types_k)                for (j in seq_along(chunks_extracted)) {                  mask$add_one(name = types_k_names[j], chunks = chunks_extracted[[j]],                     result = results_k[[j]])                }                chunks <- append(chunks, chunks_extracted)                types <- append(types, as.list(types_k))                results <- append(results, results_k)                out_names <- c(out_names, types_k_names)            }            else {                name <- dplyr_quosure_name(quo_data)                mask$add_one(name = name, chunks = chunks_k,                   result = results_k)                chunks <- append(chunks, list(chunks_k))                types <- append(types, list(types_k))                results <- append(results, list(results_k))                out_names <- c(out_names, name)            }        }    }    if (verb == "summarise") {        .Call(dplyr_summarise_check_all_size_one, chunks, n_groups)        group_sizes <- NULL    }    else {        group_sizes <- .Call(dplyr_reframe_recycle_horizontally_in_place,             chunks, results, n_groups)        for (i in seq_along(chunks)) {            if (is.null(results[[i]])) {                results[[i]] <- vec_c(!!!chunks[[i]], .ptype = types[[i]])            }        }    }}, error = function(cnd) {    if (inherits(cnd, "dplyr:::reframe_incompatible_size")) {        action <- "recycle"        i <- cnd$dplyr_error_data$index_expression    }    else if (inherits(cnd, "dplyr:::summarise_incompatible_size")) {        action <- "compute"        i <- cnd$dplyr_error_data$index_expression    }    else {        action <- "compute"        i <- i    }    handler <- dplyr_error_handler(dots = dots, mask = mask,         bullets = summarise_bullets, error_call = error_call,         action = action)    handler(cnd)}, warning = dplyr_warning_handler(state = warnings_state, mask = mask,     error_call = error_call))
 8: summarise_cols(.data, dplyr_quosures(...), by, "summarise")
 9: summarise.grouped_df(.data$variables, !!!.dots, .groups = .groups)
10: dplyr::summarise(.data$variables, !!!.dots, .groups = .groups)
11: summarise.grouped_svy(., prop = survey_mean(na.rm = TRUE))
12: summarize(., prop = survey_mean(na.rm = TRUE))
13: mutate(., prop = prop * 100)
14: des %>% group_by_at(c(by_vars, "item", "resp")) %>% summarize(prop = survey_mean(na.rm = TRUE)) %>%     mutate(prop = prop * 100)
15: table_weightedpct(df = df_adults_noNA, vars_ids = "PSU", vars_strata = "strata",     vars_weights = "weight", formula_vars = paste0("EF", 1:12),     formula_vars_levels = 1:5, by_vars = "disability_cat", spread_key = NULL,     spread_value = "prop", arrange_vars = NULL, willfilter = NULL)
16: eval(expr, envir)
17: eval(expr, envir)
18: withVisible(eval(expr, envir))
19: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) {    watcher$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$push(cnd)    switch(on_error, continue = invokeRestart("eval_continue"),         stop = invokeRestart("eval_stop"), error = NULL)})
20: eval(call)
21: eval(call)
22: with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers)
23: doWithOneRestart(return(expr), restart)
24: withOneRestart(expr, restarts[[1L]])
25: withRestartList(expr, restarts[-nr])
26: doWithOneRestart(return(expr), restart)
27: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
28: withRestartList(expr, restarts)
29: withRestarts(with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE)
30: evaluate::evaluate(...)
31: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$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))
32: in_dir(input_dir(), expr)
33: 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$render, options)))
34: eng_r(options)
35: block_exec(params)
36: call_block(x)
37: process_group(group)
38: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    })
39: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global()))
40: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global())), function(loc) {    setwd(wd)    write_utf8(res, output %n% stdout())    paste0("\nQuitting from ", loc, if (!is.null(error))         paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
41: process_file(text, output)
42: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
43: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),     output_dir = getwd(), ...)
44: vweave_rmarkdown(...)
45: engine$weave(file, quiet = quiet, encoding = enc)
46: doTryCatch(return(expr), name, parentenv, handler)
47: tryCatchOne(expr, names, parentenv, handlers[[1L]])
48: tryCatchList(expr, classes, parentenv, handlers)
49: 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)    }}, error = function(e) {    OK <<- FALSE    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)), domain = NA)})
50: tools:::.buildOneVignette("c6_after_rasch_ES.Rmd", "/home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/whomds.Rcheck/vign_test/whomds",     TRUE, FALSE, "c6_after_rasch_ES", "UTF-8", "/home/hornik/tmp/scratch/RtmpvQC0Y1/fileefd55421a5ee0.rds")
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault
SUMMARY: processing the following files failed:
  ‘c6_after_rasch_EN.Rmd’ ‘c6_after_rasch_ES.Rmd’

Error: Vignette re-building failed.
Execution halted