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The changes in this version are small, but the impact changes the behavior, so the minor version number is bumped. This updates first_date to NOT override standard = TRUE. This changes behavior because first_date used to automatically set standard = FALSE. The change to having standard supersede first_date is more consistent with normal behavior and gives users more freedom in the end. Much thanks goes to @caijun for pointing this out and elaborating patiently. To alert users to the change while minimizing annoyance, a one-time warning is now issued if standard is not specified with first_date. This can be explicitly turned off by setting an the incidence.warn.first_date option to FALSE (as described in the warning): library("incidence") d <- Sys.Date() + sample(-3:10, 10, replace = TRUE) Sys.Date() - 10 #> [1] "2019-02-23" If both standard and first_datespecified, no warning incidence(d, interval = "week", first_date = Sys.Date() - 10, standard = TRUE) #> <incidence object> #> [10 cases from days 2019-02-18 to 2019-03-11] #> [10 cases from ISO weeks 2019-W08 to 2019-W11] #> #> $counts: matrix with 4 rows and 1 columns #> $n: 10 cases in total #> $dates: 4 dates marking the left-side of bins #> $interval: 1 week #> $timespan: 22 days #> $cumulative: FALSE warning issued if standard not specified incidence(d, interval = "week", first_date = Sys.Date() - 10) #> Warning in incidence.Date(d, interval = "week", first_date = Sys.Date() - : #> #> As of incidence version 1.6.0, the default behavior has been modified so that `first_date` no longer overrides `standard`. If you want to use Sys.Date() - 10 as the precise `first_date`, set `standard = FALSE`. #> #> To remove this warning in the future, explicitly set the `standard` argument OR use `options(incidence.warn.first_date = FALSE)` #> <incidence object> #> [10 cases from days 2019-02-18 to 2019-03-11] #> [10 cases from ISO weeks 2019-W08 to 2019-W11] #> #> $counts: matrix with 4 rows and 1 columns #> $n: 10 cases in total #> $dates: 4 dates marking the left-side of bins #> $interval: 1 week #> $timespan: 22 days #> $cumulative: FALSE no warning issued the second time around. incidence(d, interval = "week", first_date = Sys.Date() - 10) #> <incidence object> #> [10 cases from days 2019-02-18 to 2019-03-11] #> [10 cases from ISO weeks 2019-W08 to 2019-W11] #> #> $counts: matrix with 4 rows and 1 columns #> $n: 10 cases in total #> $dates: 4 dates marking the left-side of bins #> $interval: 1 week #> $timespan: 22 days #> $cumulative: FALSE <sup>Created on 2019-03-05 by the [reprex package](https://reprex.tidyverse.org) (v0.2.1)</sup> Full changes detailed below: BEHAVIORAL CHANGE incidence() will no longer allow a non-standard first_date to override standard = TRUE. The first call to incidence() specifying first_date without standard will issue a warning. To use non-standard first dates, specify standard = FALSE. To remove the warning, use options(incidence.warn.first_date = FALSE). See https://github.com/reconhub/incidence/issues/87 for details. MISC citation("incidence") will now give the proper citation for our article in F1000 research and the global DOI for archived code. See https://github.com/reconhub/incidence/pulls/106 Tests have been updated to avoid randomisation errors on R 3.6.0 See https://github.com/reconhub/incidence/issues/107
| selected citations These citations are derived from selected sources. 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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