Anaconda3下Jupyter-lab无法识别R包shiny的问题求助

在Anaconda3环境中使用Jupyter-lab时，遇到R包shiny无法被识别的问题：

• 已安装包含shiny的r-essentials包，且尝试过更新r-essentials和Anaconda
• R的库路径输出：

> .libPaths()
'C:/Users/XXX/anaconda3/Lib/R/library'

• 执行system.file(package='shiny')显示shiny未安装
• 使用install.packages("shiny")安装时，出现权限拒绝警告，且bslib、lifecycle、shiny源码包安装失败：

> install.packages("shiny")

also installing the dependencies 'Rcpp', 'cli', 'httpuv', 'htmltools', 'promises', 'rlang', 'fastmap', 'glue', 'bslib', 'lifecycle'


  There are binary versions available but the source versions are later:
           binary source needs_compilation
Rcpp        1.0.6 1.0.11              TRUE
cli         2.5.0  3.6.1              TRUE
httpuv      1.6.1 1.6.11              TRUE
htmltools 0.5.1.1  0.5.6              TRUE
promises  1.2.0.1  1.2.1              TRUE
rlang      0.4.11  1.1.1              TRUE
fastmap     1.1.0  1.1.1              TRUE
glue        1.4.2  1.6.2              TRUE
bslib       0.2.4  0.5.1             FALSE
lifecycle   1.0.0  1.0.3             FALSE
shiny       1.6.0  1.7.5             FALSE

  Binaries will be installed
package 'Rcpp' successfully unpacked and MD5 sums checked
package 'cli' successfully unpacked and MD5 sums checked
package 'httpuv' successfully unpacked and MD5 sums checked
package 'htmltools' successfully unpacked and MD5 sums checked

Warning message:
"cannot remove prior installation of package 'htmltools'"Warning message in file.copy(savedcopy, lib, recursive = TRUE):
"problema al copiar C:\Users\XXXX\anaconda3\Lib\R\library\00LOCK\htmltools\libs\x64\htmltools.dll  a C:\Users\XXXX\anaconda3\Lib\R\library\htmltools\libs\x64\htmltools.dll: Permission denied"Warning message:
"restored 'htmltools'"

package 'promises' successfully unpacked and MD5 sums checked
package 'rlang' successfully unpacked and MD5 sums checked

Warning message:
"cannot remove prior installation of package 'rlang'"Warning message in file.copy(savedcopy, lib, recursive = TRUE):
"problema al copiar C:\Users\XXXXX\anaconda3\Lib\R\library\00LOCK\rlang\libs\x64\rlang.dll  a C:\Users\XXXX\anaconda3\Lib\R\library\rlang\libs\x64\rlang.dll: Permission denied"Warning message:
"restored 'rlang'"

package 'fastmap' successfully unpacked and MD5 sums checked
package 'glue' successfully unpacked and MD5 sums checked

The downloaded binary packages are in
    C:\Users\XXXX\AppData\Local\Temp\Rtmpk3IrRV\downloaded_packages

installing the source packages 'bslib', 'lifecycle', 'shiny'

Warning message in install.packages("shiny"):
"installation of package 'bslib' had non-zero exit status"Warning message in install.packages("shiny"):
"installation of package 'lifecycle' had non-zero exit status"Warning message in install.packages("shiny"):
"installation of package 'shiny' had non-zero exit status"

• 通过Anaconda提示符执行安装shiny的命令时，提示该包已安装。

1. 以管理员身份运行相关程序 #

权限拒绝是核心问题，先确保操作拥有足够权限：

• 右键点击Anaconda Prompt，选择「以管理员身份运行」
• 在管理员权限的Prompt中启动Jupyter-lab：jupyter lab
• 再次尝试加载shiny包，或重新执行安装操作

2. 清理R库的锁定文件 #

安装过程中生成的00LOCK目录会导致权限冲突：

• 关闭所有Jupyter-lab、R会话和Anaconda相关进程
• 手动删除C:/Users/XXX/anaconda3/Lib/R/library下的00LOCK文件夹
• 重新打开管理员权限的Anaconda Prompt，执行conda install -c r r-shiny --force-reinstall强制覆盖安装

3. 检查并统一R库路径 #

确保Jupyter-lab使用的R环境和Anaconda管理的R环境一致：

• 在Jupyter的R notebook中执行.libPaths()，确认输出路径为C:/Users/XXX/anaconda3/Lib/R/library
• 如果路径不一致，在R notebook中手动设置库路径：

.libPaths("C:/Users/XXX/anaconda3/Lib/R/library")

• 执行library(shiny)尝试加载包

4. 创建独立Conda环境（推荐） #

避免全局环境的依赖冲突：

• 管理员权限打开Anaconda Prompt，创建新环境：

conda create -n r-shiny-env r-essentials r-shiny jupyterlab

• 激活环境：conda activate r-shiny-env
• 启动Jupyter-lab：jupyter lab
• 在新环境中测试shiny包是否能正常加载

内容的提问来源于stack exchange，提问作者Sergio-NR