Dear Alisia, These are not very easy questions to answer without detailed knowledge on your design. That's probably why you did not get any responses so far (I've seen your mail pop-up several times). I would recommend that you seek guidance with your supervisor or with the local statistician.
Have a look at the posting guide (http://www.r-project.org/posting-guide.html). It states: Questions about statistics: The R mailing lists are primarily intended for questions and discussion about the R software. However, questions about statistical methodology are sometimes posted. If the question is well-asked and of interest to someone on the list, it may elicit an informative up-to-date answer. See also the Usenet groups sci.stat.consult (applied statistics and consulting) and sci.stat.math (mathematical stat and probability). HTH, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 thierry.onkel...@inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens alis villiyam Verzonden: dinsdag 28 juli 2009 11:28 Aan: r-help@r-project.org Onderwerp: [R] Fwd: randomized block design analysis in R ---------- 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 Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document. ______________________________________________ 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.
