Alright, last time I created a correlation matrix from this table. However, during Pubathon, it was pointed out that I should probably check to make sure I’m doing things correctly. As it turns out, I wasn’t (thanks, Matt!) Basically, I had to separate my normally-distributed and non-normally-distributed variables (as determined by a Shapiro-Wilk test), along with my continuous and categorical variables. However, since all my categorical variables were (unsurprisingly) non-normal, I just was left with two groups - normal and non-normal.
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Correlating Crab Variables
NOTE: As of 9/27, this post is outdated. Check the next one!
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Linear Modeling, for real
Longtime readers will remember my post from June on using linear modeling to model Hematodinium infection. In case you don’t, I’ll give you a quick recap
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Adaptive Immune Gene Dive
Previously, I identified several genes with GO terms associated with an adaptive immune response. A writeup to each of these is described in the link, but here’s the suspects:
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Jensen Samples
Alright, at this point, I’ve got a few different projects going. First, I’m examining gene expression within crabs infected with Hematodinium (using Grace Crandall’s samples). Second, I’m working on modeling a few decades of survey data on Hematodinium infection rates from the Alaska Department of Fish and Game (I’ve been meaning to write up a lab notebook post on that, will do it soon).
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