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RE: He did the monster math! Using steem monsters to explain microbial ecology and principal coordinates analysis (PCoA).

in #steemstem • 6 years ago

Excellent post. The footnotes alone are most worthy of an upvote!

Quick question:
In your last plot, what is the lone triangle I've circled in red here (is that skill 5)?

Screen Shot 2018-07-20 at 10.36.20 pm.png
Why is this all by its lonesome (noting it is legendary too)?
Thanks again!

6 years ago in #steemstem by
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     6 years ago (edited)

    Fortunately for me, I still have R open. Short answer is, you're right!. It's a Frost Giant, which was one of the 3 which randomly received Skill5. The other two are Malric Inferno and Medusa, both of whom are hanging out at the far right, mid-line, and neither of which are legendary. (Also, thank you for the comment on my footnotes, I was worried they'd be too much.)

    > subset(neword,y>0.4)
       Name              rarityCode typeCode Splinter skill1 skill2 skill3 skill4 skill5         x                 y
22 'Frost Giant'  66.6               5                   Blue       0          0         0          0         1                 0.154729 0.5256514

> subset(neword,skill5>0.4)
       Name                      rarityCode typeCode Splinter skill1 skill2 skill3 skill4 skill5         x                     y
5    'Malric Inferno'    4.4                 0.25             Red         0         1           0        0         1                0.4772363   0.1387187
17  'Medusa'                4.4                 5.00            Blue         0         1           0        0         1               0.4463397   0.1229338
22  'Frost Giant'          66.6              5.00            Blue         0         0           0        0         1               0.1547292   0.5256514

    Postscript, sorry about the terrible table formatting.

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     6 years ago 

    Ah cool! Nothing like a bit of randomness to upset the balance (re: Malric and Medusa). Thanks for this explanation.

    Footnotes are awesome and help tell the story! Especially #8. We all have bias so sensitivity analysis is key to keep things "open-minded". Well of course with clearly defined assumptions... Cheers!

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