write.xlsx function not working
Asked Answered
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2

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I am trying to use .xlsx library but function write.xlsx is returning error that such can not be found.

When I am installing library(xlsx) in log I can read:

Error : .onLoad nie powiodło się w funkcji 'loadNamespace()' dla pakietu 'rJava', szczegóły:
  wywołanie: fun(libname, pkgname)
  błąd:  No CurrentVersion entry in Software/JavaSoft registry! Try re-installing Java and make sure R and Java have matching architectures.
In addition: Warning messages:
1: pakiet ‘xlsx’ został zbudowany w wersji R 3.3.2 
2: pakiet ‘rJava’ został zbudowany w wersji R 3.3.3 
Error: pakiet ‘rJava’ nie mógł zostać załadowany

Java is up to date.

Swung answered 22/12, 2017 at 14:17 Comment(3)
You may want to try openxlsx, which doesn't depend on Java.Endeavor
@Endeavor Installed and run readxl library. So it is JAVA problem?Swung
@Swung - need writexl to write output. See my answer for a working example of writexl::write_xlsx().Prothesis
P
14

The code in the original post fails because the xlsx package uses the Apache POI Java API to Excel, and therefore requires the rJava package. In turn, the rJava package requires a working, compatible version the Java Runtime Environment to be installed on the machine and accessible from R.

One can tell whether Java is accessible from R / RStudio via the system() function.

> system("java -version")
java version "13.0.2" 2020-01-14
Java(TM) SE Runtime Environment (build 13.0.2+8)
Java HotSpot(TM) 64-Bit Server VM (build 13.0.2+8, mixed mode, sharing)
> 

There are at least four sets of R packages used for working with Excel files, including:

  1. xlsx -- requires rJava package
  2. XLConnect -- requires rJava package
  3. openxlsx -- does not require rJava package
  4. readxl / writexl -- does not require rJava package

For options 3 and 4, the solution is simply to use install.packages() to install the desired package (as noted in another answer by @Linus), once you've updated R to the latest version.

install.packages("openxlsx") 
library(openxlsx)

or

install.packages(c("readxl","writexl")) 
library(readxl)
library(writexl)

A Working Example: Write to Excel File

library(writexl)
data <- data.frame(matrix(runif(100),nrow=10,ncol=10))
write_xlsx(data,"./data/simpleExcel.xlsx")

...and the output:

enter image description here

If You Must Use rJava...

Unfortunately, options 1 and 2 are considerably more complicated than "install Java." If one must use xlsx or needs the rJava package to support other R packages, installation of Java varies significantly by operating system.

Windows: one must install a version of Java whose architecture is compatible with R (i.e. 32-bit vs. 64-bit). One may consider installing both 32-bit and 64-bit versions because some Windows programs installed on the computer may require 32-bit Java vs. 64-bit. With RStudio, one can configure R to use the 32-bit version of R if only 32-bit Java is installed on the machine.

Mac OS X: one must install Java and run a series of commands that are documented on the rJava Issues GitHub page, including executing an R script to reconfigure Java for R.

Linux: one needs to install Java using the package installer tool appropriate for the version of Linux, and then configure R to use it. For example, in Ubuntu one would install with the advanced packaging tool.

 sudo apt-get install openjdk-8-jdk # openjdk-9-jdk has some installation issues
 sudo R CMD javareconf
Prothesis answered 22/12, 2017 at 14:50 Comment(0)
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3

xlsx needs Java. Please install the current Java version from https://www.java.com/de/

and watch out, that both R and java are either 32bit or 64bit as it is stated in the error message

... and make sure R and Java have matching architectures.

Or use writexls or openxlsx. They are not depending on Java (Thanks @Len)

Leaseholder answered 22/12, 2017 at 14:19 Comment(3)
The OP asked about writing an Excel file. Therefore, the correct package is writexl, not readxl.Prothesis
Thank you. This library can be run without any error. So it is JAVA out of date version or something like this? Architecture is the same for R and JAVA. Thanks for your help folks.Swung
@Swung - first thing needed to diagnose the Java problem is to know which operating system you're using. As I note in my answer to this question, installation of Java runtime with R varies significantly by operating system.Prothesis

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