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Using R for photobiology
Using R for photobiology
ISSN 2343-3248 (Helsinki, Finland)
Using R for photobiology
 

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Recent Posts

  • ggspectra 0.3.4
  • Code breaking changes in ‘tidyr’ 1.0.0
  • photobiology 0.9.29
  • Tidy time series: ‘tsibble’ and ‘feasts’
  • photobiologyInOut 0.4.21
  • photobiologyFilters 0.5.0
  • photobiologyInOut 0.4.20
  • photobiologyPlants 0.4.2

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Site update

I have made some changes to how this website is organized. I have added new badges to the page with the packages’ status accessible through the packages menu entry. Package documentation websites, real-time status of CRAN checks for each package and the number of open issues in the Git repositories are all now displayed through this page with badges linked to the corresponding web sites, pages or repositories. The badges indicating current CRAN versions and their release dates and download counts remain unchanged.

Even though the theme is the same as before, I reorganized the contents of the sidebar and footer. Please see the footer to find out how to obtain support or report bugs.

Home Resources Books on R Machine Learning with R

Machine Learning with R

Machine Learning with RMachine Learning with R

Brett Lantz (2013)
Packt Publishing, 396 pp., ISBN 13 9781782162148

 

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Documentation

Information and on-line documentation for the individual packages are avaiable from a page listing them and their current status.

Support questions

Please, post general support questions at Stackoverflow using one of the tags ggpmisc or r4photobiology.

Bugs and enhancements

Please, raise an issue at the Git repository of the package affected by the problem (click on the corresponding "issues" badge at the page listing packages.)

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