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I wonder if two-way ANOVA or other mixed-models are to prefer for my analysis.

Short background: The effect of three different treatments on parasites on leaves was measured over time (7 sampling dates). Different leaves have been used every sampling so the subject should be independent. I wish to see the effect of treatment (fixed, 3 levels) and date(random, 7 levels) on the amount of parasites. I have 7 samples per date and treatment but use averaged values. I have troubles conducting the two-way ANOVA in R using both random and fixed effects. If anyone have suggestions for this I would love any help!

Very thankful for any help!

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This is requires mixed model, because you have a between and a within-subject factor.

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  • $\begingroup$ Thanks Janosch! Can I use a two-way ANOVA with mixed-effects (as one random and one fixed factor) or should i use lme/r? $\endgroup$
    – sma
    Commented Jun 12, 2020 at 9:31
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    $\begingroup$ You can use anova_test(), which has an argument wihtin= with which you can include the within effect $\endgroup$
    – Janosch
    Commented Jun 12, 2020 at 11:26
  • $\begingroup$ Thanks again Janosch! I guess the within argument of date is treated as a random factor when I use it within?! I do not quite understand how this differs from repeated measures ANOVA. $\endgroup$
    – sma
    Commented Jun 17, 2020 at 9:23
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    $\begingroup$ A repeated meassures ANOVA with a fixed factor is the same. People just like to give it different names $\endgroup$
    – Janosch
    Commented Jun 19, 2020 at 8:04
  • $\begingroup$ Ok clarifies alot! Thank you once again! $\endgroup$
    – sma
    Commented Jun 19, 2020 at 11:59

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