我正在运行一个简单的随机效应贝叶斯元分析brms。后处理的一部分涉及提取 1 个变量 (1 x 10000) 的后验数据帧。如果我尝试使用ggplot 基本图形或基本图形绘制此数据帧（直方图），R 将崩溃。这会通过终端影响 RStudio 和 R。
Process: R [48291]
Path: /Library/Frameworks/R.framework/Resources/bin/exec/R
Identifier: R
Version: 0
Code Type: X86-64 (Native)
Parent Process: bash [48178]
Responsible: Terminal [47845]
User ID: 501
Date/Time: 2021-10-24 15:44:33.426 +0100
OS Version: macOS 11.6 (20G165)
Report Version: 12
Anonymous UUID: 98CBF297-C1C9-0C57-7576-A6EFA5FE4DF3
Sleep/Wake UUID: 22A88465-3F12-4416-B832-4550BA8C60FB
Time Awake Since Boot: 30000 seconds
Time Since Wake: 700 seconds
System Integrity Protection: enabled
Crashed Thread: 0 Dispatch queue: com.apple.main-thread
Exception Type: EXC_CRASH (SIGABRT)
Exception Codes: 0x0000000000000000, 0x0000000000000000
Exception Note: EXC_CORPSE_NOTIFY
Application Specific Information:
abort() called
R(48291,0x1099c8e00) malloc: Non-aligned pointer 0x10d7b3f90 being freed (2)
RsessionInfo()输出为：
R version 4.1.1 (2021-08-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 11.6
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] extraDistr_1.9.1 bayesplot_1.8.1 tidybayes_3.0.1 brms_2.16.2 Rcpp_1.0.7 forcats_0.5.1
[7] stringr_1.4.0 dplyr_1.0.7 purrr_0.3.4 readr_2.0.2 tidyr_1.1.4 tibble_3.1.5
[13] ggplot2_3.3.5 tidyverse_1.3.1 esc_0.5.1
loaded via a namespace (and not attached):
[1] readxl_1.3.1 backports_1.2.1 plyr_1.8.6 igraph_1.2.7 svUnit_1.0.6
[6] splines_4.1.1 crosstalk_1.1.1 TH.data_1.1-0 rstantools_2.1.1 inline_0.3.19
[11] digest_0.6.28 htmltools_0.5.2 rsconnect_0.8.24 fansi_0.5.0 magrittr_2.0.1
[16] checkmate_2.0.0 tzdb_0.1.2 modelr_0.1.8 RcppParallel_5.1.4 matrixStats_0.61.0
[21] vroom_1.5.5 xts_0.12.1 sandwich_3.0-1 prettyunits_1.1.1 colorspace_2.0-2
[26] rvest_1.0.2 ggdist_3.0.0 haven_2.4.3 xfun_0.27 callr_3.7.0
[31] crayon_1.4.1 jsonlite_1.7.2 lme4_1.1-27.1 survival_3.2-13 zoo_1.8-9
[36] glue_1.4.2 gtable_0.3.0 emmeans_1.7.0 V8_3.4.2 distributional_0.2.2
[41] pkgbuild_1.2.0 rstan_2.21.2 abind_1.4-5 scales_1.1.1 mvtnorm_1.1-3
[46] DBI_1.1.1 miniUI_0.1.1.1 xtable_1.8-4 bit_4.0.4 stats4_4.1.1
[51] StanHeaders_2.21.0-7 DT_0.19 htmlwidgets_1.5.4 httr_1.4.2 threejs_0.3.3
[56] arrayhelpers_1.1-0 posterior_1.1.0 ellipsis_0.3.2 pkgconfig_2.0.3 loo_2.4.1
[61] farver_2.1.0 dbplyr_2.1.1 utf8_1.2.2 labeling_0.4.2 tidyselect_1.1.1
[66] rlang_0.4.12 reshape2_1.4.4 later_1.3.0 munsell_0.5.0 cellranger_1.1.0
[71] tools_4.1.1 cli_3.0.1 generics_0.1.0 broom_0.7.9 ggridges_0.5.3
[76] evaluate_0.14 fastmap_1.1.0 yaml_2.2.1 bit64_4.0.5 processx_3.5.2
[81] knitr_1.36 fs_1.5.0 nlme_3.1-153 mime_0.12 projpred_2.0.2
[86] xml2_1.3.2 compiler_4.1.1 shinythemes_1.2.0 rstudioapi_0.13 curl_4.3.2
[91] gamm4_0.2-6 reprex_2.0.1 stringi_1.7.5 ps_1.6.0 Brobdingnag_1.2-6
[96] lattice_0.20-45 Matrix_1.3-4 nloptr_1.2.2.2 markdown_1.1 shinyjs_2.0.0
[101] tensorA_0.36.2 vctrs_0.3.8 pillar_1.6.4 lifecycle_1.0.1 bridgesampling_1.1-2
[106] estimability_1.3 httpuv_1.6.3 R6_2.5.1 promises_1.2.0.1 gridExtra_2.3
[111] codetools_0.2-18 boot_1.3-28 colourpicker_1.1.1 MASS_7.3-54 gtools_3.9.2
[116] assertthat_0.2.1 withr_2.4.2 shinystan_2.5.0 multcomp_1.4-17 mgcv_1.8-38
[121] parallel_4.1.1 hms_1.1.1 grid_4.1.1 coda_0.19-4 minqa_1.2.4
[126] rmarkdown_2.11 shiny_1.7.1 lubridate_1.8.0 base64enc_0.1-3 dygraphs_1.1.1.6