# Thread: Comparing the effect of 26 compounds on 2 different organisms

1. ## Comparing the effect of 26 compounds on 2 different organisms

Hello,
I have tested the antifungal effect of 26 related compounds on 2 different organisms: a yeast and a mold. The data clearly shows that there is a correlation between the minimal inhibitory concentrations (MIC) for both organisms, and when I plot a XY scatter I get a linear regression with r=~0.8. But I think there must be a better way to analyze the data.
I cannot assume that the MIC of the compounds on each organisms have the same dispersion, etc... I guess I need some test that ranks the MIC values before comparing them, but I do not know what.

Some help on my 1st post?
Thanks a lot,
Gaby

PD: here is the dataset, and I want to show correlation between AF and SC value for each compound:
COMPOUND AF SC
CANBEF-1 25 50
CANBEF-2 6.25 1.56
CANBEF-3 25 50
CANBEF-4 6.25 1.56
CANBEF-5 25 50
CANBEF-6 50 50
CANBEF-7 6.25 12.5
CANBEF-8 3.13 0.78
CANBEF-9 0.78 0.39
CANBEF-10 1.56 0.2
CANBEF-11 3.13 3.13
CANBEF-12 0.78 0.78
CANBEF-13 0.78 0.2
CANBEF-15 3.13 3.13
CANBEF-16 3.13 6.25
CANBEF-17 6.25 12.5
CANBEF-18 1.56 3.13
CANBEF-19 25 0.2
CANBEF-20 50 50
CANBEF-21 50 50
CANBEF-22 1.56 3.13
CANBEF-35 50 50
CANBEF-41 0.78 3.13
CANBEF-14 0.2 1.56
CANBEF-23 0.78 3.13
CANBEF-24 0.78 1.56

2. ## Re: Comparing the effect of 26 compounds on 2 different organisms

It seems like it fits better by taking the log of both variables.

(But I did not understand how the MIC values were created.)

3. ## Re: Comparing the effect of 26 compounds on 2 different organisms

If I understand you correctly, you should be able to analyze this using a 2-way ANOVA or Regression with organism type as the second variable.

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