Updated CITATION file to use bibentry() instead of
deprecated citEntry()
Updated outdated URLs in the README
robvis 0.3.0 (October 2019)
Major updates
rob_traffic_light() can now handle a summary table with
or without a “Weight column”. rob_summary() still requires
a “Weight” column, as it is strongly encouraged that weights be used to
create the summary barplot.
Functions can now handle summary tables with less than the expected
number of judgments. For example, for ROB2, a sheet with only “Low” and
“Some concerns” would cause the resulting graph to be inverted and mess
up the ordering of the legend. This issue is now fixed for both
rob_summary() and rob_traffic_light().
The shapes indicating the risk-of-bias level in
rob_traffic_light() have been updated.
rob_traffic_light() no longer orders studies
alphabetically, instead retaining the order from the uploaded CSV.
The order of the domains in rob_summary() has been
corrected to accurately reflect the order of domains in each tool,
rather than presenting them in alphabetical order.
Legends for rob_traffic_light() are now ordered by
ascending/descending (depending on the tool) risk of bias.
Minor updates
CODE_OF_CONDUCT and CONTRIBUTING documents
have been added to the GitHub repo.
A PR template has been added to the GitHub repo.
robvis 0.2.0 (May 2019)
Major updates
Removed “save” argument from both the rob_summary() and
rob_traffic_light() functions. In line with CRAN
guidelines, this element was removed as packages should not write to the
file system.
Added “weighted” argument to rob_summary() to allow
users to choose whether to create a weighted or unweighted barplot.
Added a new generic template (tool = “ROB1”) which allows users to
have a nonstandard number of bias domains. This template takes the
columns headings of user-defined domains and passes them to the caption
of the resulting figure.
Minor updates
New functionality for users to choose color-scheme or provide their
own vector of colors for use in the plots. Preset options include
traditional “Cochrane” colours and a colourblind friendly palette.
Improved text processing to allow for imperfect matching of
judgments, primarily to allow for differences in cases (e.g. “low” will
match with “Low”), minor spelling errors (e.g. “loq” will match with
“Low”), and a leading whitespace (e.g. ” loq” will match with
“Low”).