1. Would Kruskal-Wallis be the appropriate test to compare kitchens in order to say they are the same because they have the same contents (as each appliance is measured individually)? Our data is discrete as mass spectrometry can only record complete counts (as in 1 or 2 toasters, because 1.5 toasters makes no sense). I have also tested normalcy and tried numerous ways to normalize it, but our data follows a non-normal distribution. I believe K-W is the correct test, but in the field of mass spectrometry very few groups have used it. Most use a t-test or ANOVA with a disclaimer stating that they know this is not the appropriate test, but the field has not agreed on the most appropriate one so they use it anyway.

2. What would be a good post-hoc test to identify which appliances were variable between our kitchens? In my case, what would be the right test to determine which of the 900 proteins were more variable between the three mice?

Thank you again! ]]>

No this capability is not supported at present. k-means is supported.

Charles ]]>

Thank you for this wonderful materials.

By the way, do you have excel implementations of X-means. An extended k-mean?

]]>Everything works as expected after I added the reference in VBA. Thanks for a great add-in!

]]>Very strange.

Charles ]]>

Thanks for your reply.

1. Nothing happens when I press ctrl+m. Checkbox for Realstats is checked when I press Alt-TI but I cant access any formula, like poisson_inv. I have to browse, reopen the RealStat.xlam and replace the file to get formula to work.

2. Thanks. I can use POISSON_INV after I done above. I will look this up.

]]>Brian ]]>

I am glad that you liked the website.

Note that -2(LL1-LL0) = -2(-11.0447+15.273) = 8.457131

Now using Excel’s CHISQ.DIST function, we see that CHISQ.DIST(8.457131,2,TRUE) = .014573. Since this value is less than .05, we have a significant result. Note that since CHISQ.INV(.05,2) = .102587, any chi-square value less .102587 would give a significant result.

Charles ]]>