Hi gurus!
What I need to do is to find a model, which can predict what the *
observation* should look like given a *factor* input.
i am doing a simple linear fit in R:
lm(observation~0+factor, data=d), the R^2 is 0.002, which is really small.
however, when I do a 'SELECT AVG observation by 0.001 BRACKET factor',
there result is something like:
*factor* | *average observersion*
-0.003 -2
-0.002 -2
-0.001 -1
0.000 1
0.001 0
0.002 1
0.003 2
from a user perspective, i definitely see a pattern here, but somehow this
pattern is not captured by a linear model. Is my understanding correct?
so R gurus, which model do you suggest me to try for such data?
Thanks!
--
*CHEN*, Cheng
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