An R package to read, write, format Excel 2007 and Excel 97/2000/XP/2003 files
The package provides R functions to read, write, and format Excel files. It depends on Java, but this makes it available on most operating systems.
Stable version from CRAN
install.packages('xlsx')
Or development version from GitHub
devtools::install_github('colearendt/xlsx')
This package depends on Java and the rJava
package to make the connection between R and Java seamless. In order to use the xlsx
package, you will need to:
Ensure you have a jdk
(Java Development Kit, version >= 1.5) installed for your Operating System. More information can be found on Oracle’s website
Ensure that the system environment variable JAVA_HOME
is configured appropriately and points to your jdk
of choice. Typically, this will be included in your PATH
environment variable as well. Options and system environmental variables that are available from R
can be seen with Sys.getenv()
Particularly on UNIX systems, if you continue experiencing issues, you may need to reconfigure R
’s support for Java on your system. From a terminal, use the command R CMD javareconf
. You may need to run this as root or prepended with sudo
to ensure it has appropriate permission.
More detail can be found in the rJava
docs.
To read the first sheet from spreadsheet into a data.frame
read.xlsx2('file.xlsx', 1)
To write a data.frame to a spreadsheet
write.xlsx2(iris, file='iris.xlsx')
The package has many functions that make it easy to style and formalize output into Excel, as well.
wb <- createWorkbook()
s <- createSheet(wb,'test')
cs <- CellStyle(wb) +
Font(wb,heightInPoints = 16, isBold = TRUE) +
Alignment(horizontal='ALIGN_CENTER')
r <- createRow(s,1)
cell <- createCell(r,1:ncol(iris))
setCellValue(cell[[1]],'Title for Iris')
for (i in cell) {
setCellStyle(i,cs)
}
addMergedRegion(s, 1,1, 1,ncol(iris))
addDataFrame(iris, s, row.names=FALSE, startRow=3)
saveWorkbook(wb,'iris_pretty.xlsx')
To report a bug, use the Issues page at: https://github.com/colearendt/xlsx/issues
If you are wrestling with the Java dependency, there are some very good alternatives that do not require Java. Your choice will vary depending on what you are trying to accomplish.
The package is made possible thanks to the excellent work on Apache POI.
Please note that the xlsx project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.