I have a more statistical question regarding all the different significance calculations done in qiime2 and especially their interpretations.
For my data, I tried to follow the PD mouse tutorial beta diversity section as much as possible.
I performed a PERMANOVA (beta-group-significance command in qiime2) using metadata column "treatment" and metadata column "room"
for room: unweighted unifrac (p= 0.011) and weighted unifrac (p= 0.818)
for treatment: unweighted unifrac (p=0.043) and weighted unifrac (p=0.319)
What is the difference between unweighted and weighted and what does this say about my data?
I continued with the unweighted treatment data and also performed a permdisp on this data. This was not significant (p=0.349). From this, I conclude that the significant result in unweighted unifrac distances for treatment is not caused by a high dispersion. Is this correct?
then I continued with an adonis using the formula: treatment+room
There I found both room and treatment to be significant (room - p = 0.002, treatment p = 0.008)
I also tried running the adonis with formula = room ( p = 0.002) and formula = treatment (p = 0.041). These were also both significant.
I am a bit lost in the statistical maze of all kinds of different analysis methods
What have I exactly calculated and what do these results mean?
I hope someone can give me a bit of clarity on the different methods!