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NEWS.md

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ennet 0.3.0

This is the fifth release of ennet. This is a GitHub release only. This is a patch release to adapt functions to a new theme added to the en-net forum but currently doesn't have any topics and discussions yet.

ennet 0.2.2

This is the fourth CRAN release of ennet. This is a patch release to fix a CRAN check issue where internet resources sometimes become unavailable and therefore causes errors. CRAN policy specifies that such scenarios should "exit gracefully" notifying user that resource is unavailable rather than throw a check warning or error. This has been implemented in this patch version.

ennet 0.2.1

This is the third CRAN release of ennet. This is a patch release to fix a test that uses an input that used to throw an error but now does not. This test has now been fixed.

Bug fixes

  • Fixed test for create_db_topics_monthly that used an input for a date of 2021-02-01 which earlier would provide an error but now that it is already February, this input doesn't throw an error. This was changed to 2020-01-01 instead.

ennet 0.2.0

Second CRAN release of ennet package.

Bug fixes

  • Fixed NOTE on CRAN checks for non-ASCII characters (192 marked UTF-8 strings)

  • Removed DiagrammeR as a dependency package and removed the code chunk in respective vignette that creates the ennet workflow. The workflow diagram is now done using an external drawing tool (OmniGraffle) instead of within R using DiagrammeR. This prevents issues on CRAN when vignettes are produced.

Enhancements/Improvements

  • refactored the count_topics and count_authors functions into new more coherent functions for counting topics and other related metrics (previous functions have now been deprecated);

  • added new functions to retrieve data from the en-net database;

  • added new functions to process and handle data from the en-net database; and,

  • updated documentation to reflect the enhancements/improvements implemented.

ennet 0.1.0

First release of ennet package.

The ennet package has two key sets of functions:

  1. The first set of functions facilitates the extraction of text data from the en-net online forum.

  2. The second set of functions supports the analysis of the extracted datasets to produce summary measures and statistics of the en-net online forum.