The most prominent new features/extensions are an improved package vignette which provides more information and examples to get people started with the package. A new type conversion mechanism was introduced which allows users to pre-specify column types/classes and even force conversions between types (e.g. from character to numeric) when reading in data using
readWorksheet. Instead of relying completely on cell types (which is the default mechanism), this allows to specify column classes of the data to be read in upfront. Possible type conversion issues will be reported back to the user/developer via warnings referring to the actual cell that is causing problems. Another new feature that was introduced is the function
xlcEdit. It allows to edit plain data.frames in an Excel ﬁle editor (e.g. MS Excel). Changes will be applied to the underlying data object after closing the editor. Note that this functionality is only available under Windows and Mac OS X. For more information please see the reference manual.
A summary of news in XLConnect 0.1-8 can be found in the NEWS ﬁle on CRAN.
The following is a simple example showing the type conversion mechanism introduced with XLConnect 0.1-8:
# Load the XLConnect package require(XLConnect) # conversion xlsx file from demoFiles subfolder of package XLConnect excelFile <- system.file("demoFiles/conversion.xlsx", package = "XLConnect") # Load workbook wb <- loadWorkbook(excelFile) # Read named region 'conversion' with pre-specified column types # Note: in the worksheet all data was entered as strings! # forceConversion = TRUE is used to force conversion from String # into the less generic data types numeric, POSIXt & logical df <- readNamedRegion(wb, name = "conversion", header = TRUE, colTypes = c("numeric", "POSIXt", "logical"), forceConversion = TRUE, dateTimeFormat = "%Y-%m-%d %H:%M:%S") # print classes print(sapply(df, class))
XLConnect is a comprehensive and cross-platform R package for manipulating Microsoft Excel files from within R. XLConnect differs from other related R packages in that it is completely cross-platform and as such runs under Windows, Unix/Linux and Mac (32- and 64-bit). Moreover, it does not require any installation of Microsoft Excel or any other special drivers to be able to read & write Excel files. The only requirement is a recent version of a Java Runtime Environment (JRE).
The package can easily be installed from CRAN via
install.packages("XLConnect"). In order to get started have a look at the package vignette, the numerous demos available via
demo(package = "XLConnect") or browse through the comprehensive reference manual.
We are always happy to hear from you! For general feedback write us an email to email@example.com. If you find any bugs or hope to see some currently missing features in the future, just send us an email to firstname.lastname@example.org. You may also want to check out our XLConnect FAQ.