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r - 如何修复被支柱包版本（1.3）破坏的Jupyter R内核？

问题描述

我正在尝试在 Jupyter R 内核中运行以下库加载命令。

library(ggplot2)
library(dplyr)
library(MESS)
library(MLmetrics)
library(ggpubr)
library(ggpmisc)

当我运行该块时，日志会打印以下消息：

[I 07:55:13.618 LabApp] Build is up to date
[I 07:55:14.385 LabApp] Kernel started: 80106139-3ada-4d73-9d46-47b3e173953c
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  namespace 'pillar' 1.3.1 is being loaded, but >= 1.4.0 is required
Calls: :: ... namespaceImportFrom -> asNamespace -> loadNamespace

[I 07:55:17.374 LabApp] KernelRestarter: restarting kernel (1/5), new random ports
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  namespace 'pillar' 1.3.1 is being loaded, but >= 1.4.0 is required
Calls: :: ... namespaceImportFrom -> asNamespace -> loadNamespace

[I 07:55:20.368 LabApp] KernelRestarter: restarting kernel (2/5), new random ports
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  namespace 'pillar' 1.3.1 is being loaded, but >= 1.4.0 is required
Calls: :: ... namespaceImportFrom -> asNamespace -> loadNamespace

[I 07:55:23.368 LabApp] KernelRestarter: restarting kernel (3/5), new random ports
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  namespace 'pillar' 1.3.1 is being loaded, but >= 1.4.0 is required
Calls: :: ... namespaceImportFrom -> asNamespace -> loadNamespace

[I 07:55:26.365 LabApp] KernelRestarter: restarting kernel (4/5), new random ports
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  namespace 'pillar' 1.3.1 is being loaded, but >= 1.4.0 is required
Calls: :: ... namespaceImportFrom -> asNamespace -> loadNamespace

[W 07:55:29.374 LabApp] KernelRestarter: restart failed
[W 07:55:29.374 LabApp] Kernel 80106139-3ada-4d73-9d46-47b3e173953c died, removing from map

我正在使用带有 Anaconda3 的 Windows 10。我尝试使用命令重新安装/升级支柱conda install -c conda-forge r-pillar，但没有成功。我也尝试在R环境中使用install.packagesand ，但没有成功。update.packages

谁能帮我解决这些问题？

标签： rjupyterjupyter-lab

解决方案

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