Thank you, Wakjira, for sharing this tutorial. I have attempted a similar trial design with rows, columns, and replicates, but I am struggling to fine-tune the model for my data. Also, Please Would you have a tutorial for multi-location and multi-year trials?
Wonderful tutorial. What if I have multi location trail with different replication number at different location? How can I do analyse such data? Thanks
thank you for your nice presentation about row column design, can you please have a syntax for doing multiple dependent variables at once in row column design?
Thankyou for sharing this tutorial. I have a similar row/column/rep designed trial but am unable to perfect the model for the data. Are you able to offer any help with this? Many thanks Mark
It is a row, column design with a blocking structure two directions. There are 38 rows by 2 columns with 4 reps and 4 blocks with 19 treatments. I assume we need only use one of the blocking structures. I was wanting to analyze as row column REML analysis. The trial is a field experiment looking at fungicides for the control of a foliar disease on cereals. Many thanks, Mark
Ok will do that. it's informative and helpful tutorial i have searching for this design several times but I didn't got full information especially regarding to mean separations. Still I haven't seen the cut point for mean separations on your tutorial also Can we depends only on p-values only ( when we look the letter in your case is there cut point? in which we can substrac treatments from each other's And compare with? I need to put least significant difference but the software didn't point out cut point.
Thank you, Wakjira, for sharing this tutorial. I have attempted a similar trial design with rows, columns, and replicates, but I am struggling to fine-tune the model for my data. Also, Please Would you have a tutorial for multi-location and multi-year trials?
Wonderful tutorial. What if I have multi location trail with different replication number at different location? How can I do analyse such data? Thanks
Thank you so much for sharing this amazing tutorial!!
Thanks Marta H. Mamo
thank you for your nice presentation about row column design, can you please have a syntax for doing multiple dependent variables at once in row column design?
I will share with you.
Thank you Wakjira, please would you like to add a tutorial for multi location and year trails (row colum design for multi locations and years)
Excellent tutorial.
Thank you so much dear
Thankyou for sharing this tutorial. I have a similar row/column/rep designed trial but am unable to perfect the model for the data. Are you able to offer any help with this? Many thanks Mark
Yes I can help you. What is your type of design?
It is a row, column design with a blocking structure two directions. There are 38 rows by 2 columns with 4 reps and 4 blocks with 19 treatments. I assume we need only use one of the blocking structures. I was wanting to analyze as row column REML analysis. The trial is a field experiment looking at fungicides for the control of a foliar disease on cereals. Many thanks, Mark
@@markbraithwaite5517 What about random effect?
I think that would be row and column as it is a spatial analysis
@@markbraithwaite5517 So attach your pseudo data and I will work for you.
Thank you for such informative tutorial
I hope you arrived well. Kindly promote my channel to your vicinity so as to learn from eachother.
Ok will do that.
it's informative and helpful tutorial
i have searching for this design several times but I didn't got full information especially regarding to mean separations. Still I haven't seen the cut point for mean separations on your tutorial also
Can we depends only on p-values only ( when we look the letter in your case is there cut point? in which we can substrac treatments from each other's And compare with?
I need to put least significant difference but the software didn't point out cut point.
Up to my knowledge there is no way to get the cut point. May be you can use test function to get contrast within eachother.
Even R software suggests to use pairwise matrix analysis other methods instead of letters.
@@wakjiratesfahun3682 Ok Thank for your immediate response wake!.