RStudio Split Plot analysis | Full detail analysis with interaction plots (agricolae package)
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- เผยแพร่เมื่อ 17 ก.ย. 2024
- #splitplot #rstudio #interactionplot
Assumptions of ANOVA : • ASSUMPTION OF ANOVA
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Code and data files link: drive.google.c...
This video shows step-wise analysis of data of Split plot design.
Split Plot Design
The design of layout has nested blocking structure.
In a block design, the experimental units are nested within the blocks, and a separate random assignment of units to treatments is made within each block.
In a split plot design, experimental units are called split-plots (sub-plots), and are nested within whole plots (main-plots).
Wonderfully explained. Thank you. 😊
Excellent video - thank you
Glad you liked it 😁
Hi Anuj, thank you for the clear explanation on the matter. I was wondering how we do the normality and homogeneity of variance test on the residuals in this case.
Hi. What should I do to run the interaction comparison if I don't have blocks in my experiment?
Can you still use this function or ssp.plot if your data does not meet assumptions?
how to do pooled analysis for 2 years data
What are the libraries required for ploting split plot design? As I am getting error of interaction.plot
You can check out the description for codes and packages used in the video
is it possible to plot interaction if there is no significant difference between them?
If you run code, it will plot a graph, BUT if there is no significant difference among the treatments/factors, it is of no use to plot the interaction graph/table
Variety should be main plot factor and N is subplot factor
Assignment of main plot factor and subplot factor depends on precision with which you want to measure the effects of factor.
Can you use this with a split-split plot design?
yes.
How to calculate SEM here?