Hello everyone. I have the following experimental design: 3 treatments - control, sodium and potassium fertilization. 27 plants, randomly assigned to each treatment, resulting in 9 plants per each treatment. Growth measurements were assessement over time, resulting in more than 60 data points per individual plant. Now I want to analyse the data and see if the treatments has an impact on different measured variables (e.g., height, basal area, wood anatomical features, etc), and also in which periods they differ as well as if the effects change over time. Initially I thought using a classical repeated-measures ANOVA, but the subjects per treatment are different. After, I found on the web an extension of repeated-measures that could be adequate for my data, total variance is partitioned in: Between subjects (Treatment, Error due to Subjects Within Treatment), Within subjects (Time, Treatment*Time, Error) But I dont sure about it. So which statistical test can I use? An example code would be nice. Thank.
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