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Software . 2015
Data sources: Datacite
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Software . 2015
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wakefield: wakefield 0.1.0

Authors: Tyler Rinker;

wakefield: wakefield 0.1.0

Abstract

NEWS Versioning Releases will be numbered with the following semantic versioning format: <major>.<minor>.<patch> And constructed with the following guidelines: Breaking backward compatibility bumps the major (and resets the minor and patch) New additions without breaking backward compatibility bumps the minor (and resets the patch) Bug fixes and misc changes bumps the patch wakefield 0.1.0 <b>BUG FIXES</b> employment was misspelled as empoyment. Caught by Danilo Freire (issue #2). <b>NEW FEATURES</b> r_list & r_data_frame now add a suffix to repeat variable names in a sensible way. The separator is controlled by rep.sep. Suggested by Ananda Mahto. See issue #1 for details. r_list and r_data_frame can utilize r_series and r_dummy to produce series of variables. Suggested by Ananda Mahto. See issue #1 for details. r_series added to produce a series of grouped data. This is useful for simulating repeated measures or survey questions. Suggested by Ananda Mahto. See issue #1 for details. as_integer added as a means of coercing all columns of a factor data.frame to integers. r_dummy added to produce multiple dummy columns from a single factor. dob and birth functions added for date of birth variable. peek added to allow a truncated head inspection of all columns of a data.frame. table_heat & plot.tbl_df added to visualize column types & NAs. r_insert added to safely insert data.frames into a r_data_frame or r_list object. <b>MINOR FEATURES</b> seriesname function added to give a data.frame an attribute seriesname. Typicaly this is for internal use. IMPROVEMENTS <b>CHANGES</b> wakefield 0.0.1 This package is designed to generates random data sets including: data.frames, lists, and vectors.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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