From: Baoqiang Cao <bqcaomail_at_gmail.com>

Date: Thu, 14 Apr 2011 10:00:09 -0500

R-help_at_r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Thu 14 Apr 2011 - 15:02:47 GMT

Date: Thu, 14 Apr 2011 10:00:09 -0500

Hi,

I have to one set of inputs and their observed true values of each input. Now I have a model takes the input and predict a value. I only consider the ranks based on either the observed true values or the predicted values. My question is how do I compare this two rank in R? That is, how close the rank from prediction to the rank from true observations?

x_1: y_1, p_1,

x_2: y_2, p_2,

...

x_m: y_m, p_m,

R_y is the ranking based on {y_1, y_2,..,y_m}. R_p is the ranking from {p_1, p_2, ..., p_m}. How do I know in R how good/bad R_p is given R_y?

I searched r-help and got some clue of using wilcox.test but still a bit confused of how to compare the two ranking against the true ranking. Any advice will be highly appreciated. I apologize if this is a too statistics question.

Thanks in advance.

Baoqiang

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Thu 14 Apr 2011 - 15:02:47 GMT

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