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Pointers/shortcuts in R with the ‘pointr’ package

Overview R’s built-in copy-on-modify behavior prevents the user from having two symbols always pointing to the same object. Because pointers, as they are common in other programming languages, are essentially symbols (variables) related to an object that has already another symbol attached to it, it is clear that pointers do not fit naturally into R’s language concept. However, pointers would be indredibly useful, e.g. when you work with complex subsets of dataframes. These complex filtering conditions make the code harder to read and to maintain. For this reason, it would be good to have a kind of ‘abbreviation’ or ‘shortcut’ that lets you write such filtering conditions more efficiently. Thepointr package provides functionality to create pointers to any R object easily, including pointers to subsets/selections from dataframes.  Working with  pointr Installing and loading  pointr To install the CRAN version of  pointr  from the R console, just call: ...
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Converting XML data to R dataframes with xmlconvert

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The  xmlconvert  package is made to easily and comfortably convert XML data to R dataframes and the other way around. It provides a lot of options to control the conversion process and to export the results to CSV or Excel files, if desired. How you install  xmlconvert Just execute  install.packages ("x mlconvert", dependencies = TRUE)  in the R console to install the package including all packages it depends on. By default, the  xlsx  package for writing Excel files is not installed together with  xmlconvert .  xmlconvert  will tell you when you need  xlsx  and will ask you to install it then. How you work with  xmlconvert The functions  xml_to_df()  and  df_to_xml()  are the two workhorses of the package. The functions assume that each data record (e.g. a customer) in the XML data is stored in one XML element/tag; the individual fields (e.g. name, address, e-mail), however, can be represente...
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packagefinder now with RStudio add-in

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A new version 0.3.0 of the packagefinder package is now available on CRAN. It comes with a new add-in for R Studio that provides a graphical interface to the findPackage() and whatsNew() functions. Finding packages on CRAN is now easier and more comfortable than ever! Here are some impressions.   Install the package from CRAN with install.packages("packagefinder", dependencies = TRUE) The add-in is installed automatically when you install the package. It can be started from the Addins dropdown menu on the RStudio toolbar.  See the packagefinder source code on GitHub . Star and fork the repo! And don't forget to follow me on Twitter to receive more updatates on all my packages and R activities!
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