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Unread 09-05-2013, 23:55
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Re: An improvement to OPR

I'm not sure how this is an improvement; your code might be more concise but only if you're working with a computational package like MATLAB.
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Unread 10-05-2013, 09:19
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Re: An improvement to OPR

Quote:
Originally Posted by efoote868 View Post
I'm not sure how this is an improvement; your code might be more concise but only if you're working with a computational package like MATLAB.
It's only an improvement so far as it's more data than most teams usually compute, and it should be computationally faster than a pair of OPR calculations. Hypothetically, let's say that OPR is a O(N^3) operation, with this method it's N^3 to find auton and teleop rather than 2(N^3).
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Unread 10-05-2013, 09:59
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Re: An improvement to OPR

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Originally Posted by Frenchie461 View Post
it should be computationally faster than a pair of OPR calculations.

In the formula for OPR, namely [A][OPR]~[SCORE], [OPR] and [SCORE] need not be vectors - they can be matrices.

So instead of [OPR] being a Nx1 column vector, it can be an Nx2 matrix... and [SCORE] can be a (2M)x2 matrix.

The first column of [OPR] and [SCORE] can then be for TeleOp, and the second column for Autonomous.

This can be extended to any desired number of columns. For example use 4 columns for TeleOp, Autonomous, Climb, and Foul points.

Adding extra columns to [OPR] and [SCORE] increases the computation time only minimally, since the lion's share of the computation is spent factoring [A]T[A].



Last edited by Ether : 10-05-2013 at 10:13.
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Unread 10-05-2013, 10:46
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Re: An improvement to OPR

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Originally Posted by Ether View Post
This can be extended to any desired number of columns. For example use 4 columns for TeleOp, Autonomous, Climb, and Foul points.
Minor detour: does someone have comprehensive foul point data broken out from teleop scores? (because I would love them forever )

Other than that, it's a cool idea and would be a fun way to team the concept to new students around that level. In terms of data though, I don't know that it brings something new. It'd actually complicate my work to do it that way, because the matrix case Ether describes allows the simultaneous calculation of endgame OPR by the same method (i.e. it's not limited to 2, and we're looking for at least 3 basically ever year).
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Unread 10-05-2013, 10:55
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Re: An improvement to OPR

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Originally Posted by Siri View Post
Minor detour: does someone have comprehensive foul point data broken out from teleop scores? (because I would love them forever )

Other than that, it's a cool idea and would be a fun way to team the concept to new students around that level. In terms of data though, I don't know that it brings something new. It'd actually complicate my work to do it that way, because the matrix case Ether describes allows the simultaneous calculation of endgame OPR by the same method (i.e. it's not limited to 2, and we're looking for at least 3 basically ever year).
Ether has created a spreadsheet with all of the twitter data from every match.
http://www.chiefdelphi.com/forums/sh...t=twitter+data

It has everything you need.
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Last edited by AGPapa : 10-05-2013 at 11:32. Reason: spelling
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Unread 10-05-2013, 10:59
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Re: An improvement to OPR

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Originally Posted by Siri View Post
Minor detour: does someone have comprehensive foul point data broken out from teleop scores? (because I would love them forever ).
A few weeks ago I posted a least-squares analysis of foul points using Twitter data:

http://www.chiefdelphi.com/forums/sh...53&postcount=1

As with any analysis using Twitter data, caveat utilitor.


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Unread 10-05-2013, 11:21
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Re: An improvement to OPR

Quote:
Originally Posted by AGPapa View Post
Ether has created a spreadsheet will all of the twitter data from every match.
http://www.chiefdelphi.com/forums/sh...t=twitter+data

It has everything you need.
Quote:
Originally Posted by Ether View Post
A few weeks ago I posted a least-squares analysis of foul points using Twitter data:

http://www.chiefdelphi.com/forums/sh...53&postcount=1

As with any analysis using Twitter data, caveat utilitor.


Sorry, I should have been more specific about comprehensive (Twitter this year is missing a good chunk of MAR data). Thank you though, you're correct, I'll use this. Awesome analysis as always, Ether. Thanks!

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