The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
tbrf 0.1.7
New features
- incorporate
stat_stepribbon() from the ggalt package.
This adds a dependency on ggplot, but it is a super useful stat for this
type of data.
- adds the
Entero example dataset to facilitate examples
of analysis using lognormal data.
- new
na.pad argument for all tbr_ rolling functions that
will pad the results with NA values when the window length
is less then argument n.
Bug fixes
- Remove vignette dependency, and DESCRIPTION suggests on ggalt
package (#29).
Minor changes
- use
usethis_import_from() to document imports under the
tbrf-package.R.
- updated vignettes and examples with new example data.
tbrf 0.1.6
Minor changes
- gm_mean_ci now properly passes the na.rm and zero.propagate
arguments to gm_mean (#18).
- update internal functions for compatibility with tidyselect.
- external links in documentation have proper package anchors
(#25).
tbrf 0.1.5
Bug fixes
- tibble 3.0.0 introduced changes to subassignments that broke
internal functions (#15). fixed with pull request #.
tbrf 0.1.4
Bug fixes
- lubridate 1.7.4.9000 now assumes year and month durations are 365.25
days in a year (#12). tbrf now uses date intervals and periods to
calculate date windows.
tbrf 0.1.3
Bug fixes
- tidyr 1.0.0 introduced warnings when columns are not specified in
unnest() (#9). Fixed with pull request #10.
tbrf 0.1.2
Bug fixes
- dplyr 0.8.0rc introduced breaking changes. Evaluation errors are now
properly fixed with the expected release version.
tbrf 0.1.1
Minor Changes
- dplyr 0.8.0 no longer includes “Evaluation error” in message, unit
tests are updated to reflect this change. (pull request #5)
tbrf 0.1.0
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.