Resolving r.Java is not found (attached, “rJavaError”) on R-4.1.0

If you are installing rJava in R and you encountered this issue during install

% R
> install.packages("rJava")
checking whether setjmp.h is POSIX.1 compatible... yes
checking whether sigsetjmp is declared... yes
checking whether siglongjmp is declared... yes
checking Java support in R... present:
interpreter : '/usr/bin/java'
archiver    : ''
compiler    : ''
header prep.: ''
cpp flags   : ''
java libs   : ''
configure: error: Java Development Kit (JDK) is missing or not registered in R
Make sure R is configured with full Java support (including JDK). Run
R CMD javareconf
as root to add Java support to R.

If you don't have root privileges, run
R CMD javareconf -e
to set all Java-related variables and then install rJava.

ERROR: configuration failed for package ‘rJava’
* removing ‘/usr/local/R-4.1.0/lib64/R/library/rJava’

The downloaded source packages are in
Updating HTML index of packages in '.Library'
Making 'packages.html' ... done
Warning message:
In install.packages("rJava") :
  installation of package ‘rJava’ had non-zero exit status
> install.packages("javareconf")
Warning message:
package ‘javareconf’ is not available for this version of R

The Issue is to fix the missing Java Support to R. You can download the Java version you required I chose version 11. I used the “Linux x64 Compressed Archive”. Installation was a breeze as it is just unpacking and java can be used immediately. But it is important to make sure the environment is fixed. For example,

export JAVA_HOME=/usr/local/jdk-11.0.12
export PATH=$PATH:/usr/local/jdk-11.0.12/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/jdk-11.0.12/lib
export MANPATH=$MANPATH:/usr/local/jdk-11.0.12/share

Now you can run R. At the command prompt, type install.packages(“rJava”)

% R
> install.packages("rJava")
> library("rJava")


  1. Installing the rJava package

What is Digital Twin?

This article is taken from What is a digital twin? A real-time, virtual representation

Digital twins are real-time, virtual representations of objects, processes, and systems. While digital twins can represent purely digital things, they most frequently serve as a bridge between the physical and digital domains. For example, a digital twin could provide a digital view of the operations of a factory, communications network, or the flow of packages through a logistics system.

“The implementation of a digital twin is an encapsulated software object or model that mirrors a unique physical object, process, organization, person, or other abstraction,” according to Gartner. “Data from multiple digital twins can be aggregated for a composite view across a number of real-world entities, such as a power plant or a city, and their related processes.”

What is a digital twin? A real-time, virtual representation