RSM 07 Analyzing a Central Composite Design in R

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  • Опубликовано: 9 сен 2024
  • Response Surface Methodology (RSM) course - Lesson 7/8
    R tutorial
    statdoe.com/rsm/
    www.statdoe.com

Комментарии • 10

  • @nano7586
    @nano7586 Год назад

    Woah this is very straightforward and no gibberish. Thank you so much for these amazing tutorials!

  • @martinperales3531
    @martinperales3531 Год назад +1

    I think your videos are not being appreciated enough, millions of people could apply this tools in many aspects and probably don't know. It was only in one of your videos that I discovered how to perform RSM in R after a long time of search. Thank you so much, you made a great impact to me.

    • @RosaneRech
      @RosaneRech  Год назад +1

      Hello Martin, thanks for your feedback! I am glad the channel content helped you!

  • @noor-ul-ain386
    @noor-ul-ain386 Год назад

    Great..... Doctor your videos need to be frequent and appreciated ❤❤❤
    Lots of love for such professors who keep their time to teach globally without any greed for money 🙏🙏

    • @RosaneRech
      @RosaneRech  Год назад +1

      Very nice of you! Thanks :)

  • @jinga_lala6213
    @jinga_lala6213 Год назад

    whats the difference between CCD and box behken design approach?

  • @carolinarodrigues139
    @carolinarodrigues139 10 месяцев назад

    Hello. I'm constructing a 3 variable model and when i use persp, instead of x1~x2 i use x1~x2~x3. I was expecting to have 3 plots showing each interactions but I have 3 plots with interactions of x1 and x3 and x2 and x3 twice. Do you happen to know if I have to add something in the code to add x1~x2 interaction? Thank you

    • @RosaneRech
      @RosaneRech  10 месяцев назад +1

      It should work, but if it doesn't, you can build them in pairs (~x1+x2, ~x1+x3 and ~x2+x3)

  • @sielberhighrontabinas8991
    @sielberhighrontabinas8991 3 месяца назад

    Can this be used for single replication? 😢

    • @RosaneRech
      @RosaneRech  2 месяца назад

      Yes, if you have enough degrees of freedom.