加载制表器时的rstudio致命错误

发布于 2025-01-25 00:57:39 字数 1489 浏览 4 评论 0原文

我最近将R在Windows 10 PC上更新为4.2.0版。当我尝试加载软件包Tabulizer时，Rstudio崩溃和炸弹图标带有“ r遇到的致命错误”时出现。我重新安装rjava，tabulizer和tabulizerjar以下 github repo 。这是，使用以下命令行：

远程:: install_github（c（“ ropensci/tabulizerjars”，“ ropensci/tabulizer”），install_opts =“ ---no-multiarch”）

此外，I此外，I从我的环境变量中手动设置Java_home，并使用命令sys.setenv（java_home =“ c：/program files/java/jdk-18.0.1”）。您可能会注意到，我使用了最后的JDK版本在这里。

如果我使用以下内容，则该策略在 vscode 和R端情况下起作用：

Sys.setenv(JAVA_HOME = "C:/Program Files/Java/jdk-18.0.1")
library(tabulizer)

但是，我无法在 rstudio （版本2022.02.1 build 461）上使用它。

我离开了R会议以进行进一步参考：

R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Mexico.utf8  LC_CTYPE=Spanish_Mexico.utf8    LC_MONETARY=Spanish_Mexico.utf8 LC_NUMERIC=C                   
[5] LC_TIME=Spanish_Mexico.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] rJava_1.0-6

loaded via a namespace (and not attached):
[1] compiler_4.2.0 tools_4.2.0

原文

I recently updated R to version 4.2.0 on my Windows 10 PC. When I try to load the package tabulizer, RStudio crashes and the bomb icon with the correspondent "R encountered a fatal error" appears. I reinstalled rJava, tabulizer and tabulizerjar following the GitHub Repo. This is, using the following command line:

remotes::install_github(c("ropensci/tabulizerjars", "ropensci/tabulizer"), INSTALL_opts = "--no-multiarch")

In addition, I set manually the JAVA_HOME from my environment variables and used the command Sys.setenv(JAVA_HOME = "C:/Program Files/Java/jdk-18.0.1"). As you may notice, I used the last JDK version available here.

This strategy worked on VSCode and in R-Terminal if I used the following:

Sys.setenv(JAVA_HOME = "C:/Program Files/Java/jdk-18.0.1")
library(tabulizer)

However, I could not make it work on RStudio (version 2022.02.1 Build 461).

I left my R Session for further reference:

R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Mexico.utf8  LC_CTYPE=Spanish_Mexico.utf8    LC_MONETARY=Spanish_Mexico.utf8 LC_NUMERIC=C                   
[5] LC_TIME=Spanish_Mexico.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] rJava_1.0-6

loaded via a namespace (and not attached):
[1] compiler_4.2.0 tools_4.2.0

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带刺的爱情 2025-02-01 00:57:39

当R工作正常时，我与Rstudio遇到了同样的问题。我最终通过安装R版本4.1.3来使它起作用。相信在最新版本，即4.2.0版中存在问题。

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心的位置 2025-02-01 00:57:39

软件包XLSX（也依赖于RJAVA）的问题。
我仍然使用JDK-17.0.3，但是相同的行为（u）r。

复制（最小）：

library(rJava)
.jinit()

会话信息：

R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

Random number generation:
 RNG:     Mersenne-Twister 
 Normal:  Inversion 
 Sample:  Rounding 
 
locale:
[1] LC_COLLATE=English_Belgium.utf8  LC_CTYPE=English_Belgium.utf8    LC_MONETARY=English_Belgium.utf8
[4] LC_NUMERIC=C                     LC_TIME=English_Belgium.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] rJava_1.0-6

loaded via a namespace (and not attached):
[1] compiler_4.2.0 tools_4.2.0

Same issue with package xlsx (which also relies on rJava).
I still use jdk-17.0.3, but identical behavio(u)r.

Reproduce (minimal):

library(rJava)
.jinit()

Session info:

R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

Random number generation:
 RNG:     Mersenne-Twister 
 Normal:  Inversion 
 Sample:  Rounding 
 
locale:
[1] LC_COLLATE=English_Belgium.utf8  LC_CTYPE=English_Belgium.utf8    LC_MONETARY=English_Belgium.utf8
[4] LC_NUMERIC=C                     LC_TIME=English_Belgium.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] rJava_1.0-6

loaded via a namespace (and not attached):
[1] compiler_4.2.0 tools_4.2.0

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