Quote:
Originally Posted by Jimjam
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I love the eloquence with which posters here can explain the scientific method and reasoning. Having it used in the context of something I love makes me really happy and I hope improves my scientific literacy. Definitely Brown’s discussions of stats in the past have improved my understanding of statistics. You guys need to start a MSc program in EQ Analyses! I think I got a third in EQ back in the day at TheSteelWarrior Polytechnic College!
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That makes me inordinately happy.
Quote:
Originally Posted by Jimjam
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Bcb do you mind if I borrow your data to make some frequency charts like a histogram or something?
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For any data or analyses I publish here you are welcome to use for any further projects as you see fit.
I use the set of tools available on the linux command line for initial analysis. This is also available on macs. Windows you can install this, but you're on your own for the installation instructions. All these tools I use operate on a line-by-line basis. 'grep' filters out any line that does *not* match the pattern provided. I use 'awk' to filter out only the column of data I want; '{print $11}' means print only the 11th whitespace-separated column of data. 'sort' sorts all the data, and -n uses a numeric sort so 01 comes before 10. uniq -c takes sorted data and collapses multiple values by counting them. So if you have five hits in a row with the value of 11 damage (after being sorted), uniq -c outputs 5 11 as <count> <value>. `wc -l` is word-count; I use it to determine the total count after various filters.
You're welcome to use the data I've already provided as-is. The process I used to generate that data follows:
grep "You crush" mentrax| awk '{print $11}' | sort -n | wc -l ## count of total hits
grep "You crush" mentrax| awk '{print $11}' | sort -n | uniq -c | wc -l ## count of unique values of hits
grep "You crush" mentrax| awk '{print $11}' | sort -n | uniq -c ## the data I provided earlier; counts and values for all hits
The data analysis I provided earlier came from parses DSM generated and in any histogram he deserves credit before I do.