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seabbs/getTBinR: 0.6.0 CRAN Release (including 0.5.8 dev release)

Authors: Sam Abbott; Arfon Smith;

seabbs/getTBinR: 0.6.0 CRAN Release (including 0.5.8 dev release)

Abstract

getTBinR 0.6.0 Feature updates Added a new summarise_metric function to the package. This function was previously used internally by the TB report. For a given year it returns the value of given metric, along with the regional and global rankings. The average change over the last decade is also supplied. Linked to #57. search_data_dict can now be used to search for a dataset by name. All variables in this dataset are then returned. Added a new dataframe, available_datasets, that lists the datasets available to be imported into R using the package. This dataframe also gives a short description of each dataset, details the timespan of the dataset, and whether or not it is downloaded by default. Used by get_tb_burden as a URL source for downloading the datasets. Linked to #58. get_tb_burden can now import additional datasets (listed in available_datasets), clean them, and then link them with the core dataset. This adds over 400 new variables to the package and provides a near complete list of data used in the WHO Tuberculosis global report. Please open an issue if you find an issue with this dataset. Package updates Jumped to 0.6.0 to signal a major release. Updated earliest supported R version based on travis testing - now 3.3.0. Added the JOSS paper as the preferred citation for getTBinR and also added this information to the README. URL and data save names have been deprecated from all functions and will be removed in a future release. This allows the number of arguments for many functions to be reduced with no loss of functionality (as data is only saved temporally by package functions). search_data_dict has improved messaging and no longer returns an error when nothing is found in the data dictionary. From #65. search_data_dict has expanded testing to account for new dataset searching and for failing to find results. Linked to #60. Dropped usage of dplyr::funs as soft deprecated. Added tests for summarise_metric and added to documentation. Added tests for additional dataset import in get_tb_burden. #58 Added available_datasets and new data import to the README and to the getting started vignette. getTBinR 0.5.8 Package updates Added package information to license file - suggested during review for JOSS submission by @rrrlw. Updated README introduction to better explain package aim - suggested during review for JOSS submission by @strengejacke Improved package DESCRIPTION for CRAN only users - suggested during review for JOSS submission by @rrrlw. Used usethis::use_tidy_description to improve DESCRIPTION formatting. Added development documentation badge to the README + website. Moved to automated pkgdown deployment using travis. Based on this and the dplyr implementation. Expanded travis testing grid based on dplyr implementation. Updated earliest supported R version based on travis testing - now 3.2.0. Used usethis::use_tidy_versions() to set package to dependent on package versions used during development work. Added this to makefile to make automated. Added a git commit step to the Makefile use with `make message="your commit message". This will automatically run all build steps that are required and then commit any changes.

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selected citations
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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