Hi R-users,

My question is more methodological one, rather than technical.

I have to samples representing residuals based on two measurements techniques (resid1,resid2; n=69). I need to compare two samples, to reject one technique (the worse one), and to keep the one which gave lower residuals (better one). What to look for? What should I analyse? Means, variance, std. deviations?

Based on preliminary EDA:

mean_resid1 < mean_resid2 #I would reject resid2 technique
stdev_resid1 > stdev_resid2 #I would reject resid1 technique
var_resid1 > var_resid2 #I would reject resid1 technique

Based on means I would reject resid2 technique, but based on analyses of stdev. and variance I would reject resid1 technique.

How to deal with that problem? What is proper statist. atrribute to look for? Should I use t.test()?

Best regards,

Rado Bonk

--
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Sciences, Comenius University
Mlynska Dolina 842 15, Bratislava, SLOVAKIA
tel: +421 905 968 127 e-mail: [EMAIL PROTECTED]

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