Analysis of Augmented Randomized Complete Block | Genetic variability| in R

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  • Опубликовано: 23 окт 2024

Комментарии • 8

  • @wakjiratesfahun3682
    @wakjiratesfahun3682  Год назад

    # Analysis of Augmented Randomized Complete Block
    library(agricolae)
    # Model for Augmented block Design
    DAU.test(block, trt, y, method = c("lsd","tukey"),alpha=0.05,group=TRUE,console=FALSE)
    ####
    str(AUGG)
    AUGG$BLOCK=factor(AUGG$BLOCK)
    AUGG$TRT=factor(AUGG$TRT)
    attach(AUGG)
    av

  • @tesfayebelay5925
    @tesfayebelay5925 3 месяца назад

    Good

  • @kasulefaizo2001
    @kasulefaizo2001 Месяц назад

    sometimes you have combined data that has other factors that need to appear in SOV like season, location etc

  • @spectator7400
    @spectator7400 Год назад +1

    before explaining the procedure could you please provide the information on how to arrange data, it would be really helpful.

    • @wakjiratesfahun3682
      @wakjiratesfahun3682  Год назад

      Augmented design does not have a predetermined data arrangement. Checks can be found in all blocks, while the remaining treatments are only present in some blocks. If you would like access to the data, please provide me with your email address.

    • @spectator7400
      @spectator7400 Год назад +1

      @@wakjiratesfahun3682 thank you so much for your concern. Your video was really helpful.

    • @wakjiratesfahun3682
      @wakjiratesfahun3682  Год назад

      @@spectator7400 thank you brother .

    • @muhammadalishah1220
      @muhammadalishah1220 Год назад

      Thanks for sharing such an important information about augmented analysis, please let me that how to analyze two factor augmented design.
      Looking forward for your respond