---------- Forwarded message ---------- From: alis villiyam <aalisi...@gmail.com> Date: Mon, Jul 27, 2009 at 9:47 AM Subject: randomized block design analysis in R To: bol...@zoology.ufl.edu
Dear All user Hello, I'm a student and I have some trouble with the experimental (columns-experiments) design of my project. I use a randomized block design with 4 treatments including a control. For each treatment, I use 3 replicates and 3 blocks. The treatments are: -T1 = COD (300 mg/Lit) COD=chemical oxygen demand -T2 = COD (200 mg/Lit) -T3 = COD (100 mg/Lit) -T4 = COD (0 mg/Lit) as a control The experiment is conducted during three months and a sample is taken each Week in every experimental unit. At the first, I irrigated all soil columns (12 columns) with demonize water for 1 week. Then during 8 weeks, I irrigated all columns with waste water with different concentration. Then, gain, I irrigated all columns with demonize water for 4 weeks. Now I want to know how I can analyses the results in R. For example, I want to detect the Effect of waste water on some physical properties of soil, before, during use waste water and after use waste water (Is there any significant change in properties of soil.) Time is also important, so I want to know the interaction between time and some physical properties of soil, like water content .first comprises between Treatments and then comprise between weeks). Questions to be answered: 1) Theta (water content), before (1 week) and after the COD; is there a difference? 2) Theta, during, before and after the COD; is there a difference? 3) Is there a trend in Theta, during COD (8 weeks)? 4) Is there a difference in Theta, during COD between the treatments? I hope somebody can help me to find correct statistical analyses in R. Kind regards, Alisia
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.