Working with a business audience, I am frequently called upon to send analytic results to clients in the form of Excel Workbooks. The **xlsx** package facilitates exporting tables and datasets Excel, but I wanted a very simple function that would let me easily export an arbitrary number of R objects to an Excel Workbook in a single call. Each object should appear on in own worksheet, and the worksheets should be named after their objects.

Specifically, the function

save.xlsx("myworkbook.xlsx", mtcars, Titanic, AirPassengers, state.x77)

should save the R objects `mtcars`

(a data frame), `Titanic`

(a table), `AirPassengers`

(a time series) and `state.x77 `

(a matrix) to the workbook `myworkbook.xlsx`

. Each object should be in it’s own worksheet and the worksheet should take on the name of the object.

One solution was to write a wrapper for **write.xlsx()** function in the **xlsx** package.

save.xlsx <- function (file, ...)
{
require(xlsx, quietly = TRUE)
objects <- list(...)
fargs <- as.list(match.call(expand.dots = TRUE))
objnames <- as.character(fargs)[-c(1, 2)]
nobjects <- length(objects)
for (i in 1:nobjects) {
if (i == 1)
write.xlsx(objects[[i]], file, sheetName = objnames[i])
else write.xlsx(objects[[i]], file, sheetName = objnames[i],
append = TRUE)
}
print(paste("Workbook", file, "has", nobjects, "worksheets."))
}

Then

save.xlsx("myworkbook.xlsx", mtcars, Titanic, AirPassengers, state.x77)
[1] "Workbook myworkbook.xlsx has 4 worksheets."

The method will work for data frames, matrices, time series, and tables, and has simplified my workflow greatly.

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