I was just installing an R package that appears to reference Java. I received the following error.
Error : .onLoad failed in loadNamespace() for 'rJava', details:
call: fun(libname, pkgname)
error: No CurrentVersion entry in Software/JavaSoft registry! Try re-installing Java and make sure R and Java have matching architectures.
I reinstalled Java on my computer to the latest version, and I still receive this error. What do I need to do to get R, or is it RStudio, to recognize my computer installation of Java?
Well, on a lark, I googled the error, and found this answer:
https://www.r-statistics.com/2012/08/how-to-load-the-rjava-package-after-the-error-java_home-cannot-be-determined-from-the-registry/
Apparently, have to make sure 64-bit version is loaded. Requires manual intervention...
Related
I am working with R 4.2.1, 64bit, Windows 10.
while calling library rsubgroup, I get an error:
library(rsubgroup)
Loading required package: foreign
Error: package or namespace load failed for ‘rsubgroup’:
.onLoad failed in loadNamespace() for 'rsubgroup', details:
call: .jinit(parameters = parameters)
error: Unable to create a Java class loader.
rJava loads without problems.
I have installed Java 1.8.0_341 and JDK jdk-18.0.2
I have set-up manually JAVA_HOME and PATH variables.
Any hints what can go wrong with .jinit?
many thanks!
Solved, caused by my comp installation: R is installed in C:.../ProgramFiles that is write-protected (accessible only by "admin"); rJava and rsubgroup installed in the ...Users personal library. While moving all installation (core R, libraries) to writable disk, all starts to work. Apologies for this dumb question but I leave it here - perhaps could help somebody in future...
I have tried to call the library xlsx, since I want to save data in multiple-sheets excel files, but I got a Java-related error. Even when I run library(rJava) I have this error code:
Error: package or namespace load failed for ‘rJava’:
.onLoad failed in loadNamespace() for 'rJava', details:
call: inDL(x, as.logical(local), as.logical(now), ...)
error: unable to load shared object 'C:/Users/me/Documents/R/win-library/4.0/rJava/libs/x64/rJava.dll':
LoadLibrary failure: The specified module could not be found.
The solutions I have found online are quite old and none helped to solve the issue: I have tried to reinstall Java 64 bit on my OS (Windows 10-64bit), and the package rJava, I have tried to set Java home with Sys.setenv(JAVA_HOME="C:\Program Files\Java\jre1.8.0_271\") without success. I use R 64 bit.
Do you have any suggestions?
Finally, the solution reported here worked for me. The most important thing is to download the offline version of Java
> library(**xlsx**)
Unable to find any JVMs matching version "(null)".
No Java runtime present, try --request to install.
Error: package or namespace load failed for ‘xlsx’:
.onLoad failed in loadNamespace() for 'rJava', details:
call: fun(libname, pkgname)
error: JVM could not be found
In addition: Warning messages:
1: In system("/usr/libexec/java_home", intern = TRUE) :
running command '/usr/libexec/java_home' had status 1
2: In fun(libname, pkgname) :
Cannot find JVM library 'NA/lib/server/libjvm.dylib'
Install Java and/or check JAVA_HOME (if in doubt, do NOT set it, it will be detected)
#then I tried 'writexlx' but then that began giving me error messages
>BiocManager::install('**writexslx**')
Bioconductor version 3.11 (BiocManager 1.30.10), R 4.0.2 (2020-06-22)
Installing package(s) 'writexslx'
Warning message:
package ‘writexslx’ is not available (for R version 4.0.2)
#I am not sure how to download this, please help
I evene tried to download jdk and that hasn't worked for me either.
I have been reading up on examples and cannot figure out the solution. I also had IT come by and they can't figure out why it isn't working also.
I am trying to use the 'rJava' package from R.
I uninstalled RStudio and R to get the latest versions.
Here is what I did:
install.packages('rJava')
trying URL 'https://cran.rstudio.com/bin/windows/contrib/3.4/rJava_0.9-9.zip'
Content type 'application/zip' length 720033 bytes (703 KB)
downloaded 703 KB
package ‘rJava’ successfully unpacked and MD5 sums checked
The downloaded binary packages are in
C:\Temp\RtmpSyCpeu\downloaded_packages
Then when I run below, this is what shows up:
library(rJava)
This same error message happens after I uninstalled RStudio and R.
When I click ok, below is the error that comes up.
Error: package or namespace load failed for ‘rJava’:
.onLoad failed in loadNamespace() for 'rJava', details:
call: inDL(x, as.logical(local), as.logical(now), ...)
error: unable to load shared object 'C:/Users/nicknaue/Documents/R/R-
3.4.3/library/rJava/libs/x64/rJava.dll':
LoadLibrary failure: The specified module could not be found.
To try and solve for this, we downloaded the latest Java and also got a file from another program with the same name: jvm.dll and put it in the same file path. No luck also.
Has anyone come across this issue before?
Also, something weird, I have another computer where I tried this on and no errors came up.
I know there have been posts on this but I feel like I have tried everything at this point.
Figured out the answer from this link: Unable to load rJava on R
The issue was that I had 64-bit R and 32 bit Java. The two were not compatible before. You need 64 bit Java in order to run rJava if you have 64 bit R.
I got a problem when I called 'XLConnect' library in R.
Loading required package: XLConnectJars JavaVM: requested Java version
((null)) not available. Using Java at "" instead. JavaVM: Failed to
load JVM: /bundle/Libraries/libserver.dylib JavaVM FATAL: Failed to
load the jvm library. Error : .onLoad failed in loadNamespace() for
'XLConnectJars', details: call: .jinit() error:
JNI_GetCreatedJavaVMs returned -1
Error: package ‘XLConnectJars’ could not be loaded
This error happened after I installed XLConnect and wrote library(XLconnect).
I googled this problem but there are no proper solution in my case.
I have already installed Java 8 and checked java location in terminal.
I run R in mac OS X (10.10.5)
Thank you for your help.
I solve the problem thanks to http://www.r-bloggers.com/getting-r-and-java-1-8-to-work-together-on-osx/