Over the past few months I’ve added a few improvements to the repmis–miscellaneous functions for reproducible research–R package. I just want to briefly highlight two of them:
Caching downloaded data sets.
source_XlsxDatafor downloading data in Excel formatted files.
Both of these capabilities are in repmis version 0.2.9 and greater.
When working with data sourced directly from the internet, it can be time consuming (and make the data hoster angry) to repeatedly download the data. So, repmis’s
source functions (
source_XlsxData) can now cache a downloaded data set by setting the argument
cache = TRUE. For example:
DisData <- source_data("http://bit.ly/156oQ7a", cache = TRUE)
When the function is run again, the data set at http://bit.ly/156oQ7a will be loaded locally, rather than downloaded.
To delete the cached data set, simply run the function again with the argument
clearCache = TRUE.
I recently added the
source_XlsxData function to download Excel data sets directly into R. This function works very similarly to the other
source functions. There are two differences:
You need to specify the
sheetargument. This is either the name of one specific sheet in the downloaded Excel workbook or its number (e.g. the first sheet in the workbook would be
sheet = 1).
Here’s a simple example:
RRurl <- 'http://www.carmenreinhart.com/user_uploads/data/22_data.xls'<br /><br />RRData <- source_XlsxData(url = RRurl, sheet = 2, startRow = 5)
startRow = 5 basically drops the first 4 rows of the sheet.