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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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  • CRAN: status of packages
  • Documentation
    • docs: ‘r4photobiology’
    • docs: ‘photobiology’
    • docs: ‘photobiologyWavebands’
    • docs: ‘photobiologyInOut’
    • docs: ‘photobiologyPlants’
    • docs: ‘photobiologyFilters’
    • docs: ‘photobiologyLamps’
    • docs: ‘photobiologyLEDs’
    • docs: ‘photobiologySensors’
    • docs: ‘ggspectra’
    • docs: ‘ggpmisc’
    • docs: ‘gginnards’
    • docs: ‘rOmniDriver’
    • docs: ‘ooacquire’
  • Using non-CRAN versions
    • r4photobiology repository
    • Manual installation
  • Resources
    • Upgrading R
    • Learning R online
    • Books on R
    • Example plots
    • Tips on using R
    • Material for Pécs training event
    • Installing RStudio server
  • About
  • Privacy Policy
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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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