Transparent ruler – like in the good ol’ days [Bioanalytics]

posted by ElMaestro  – Belgium?, 2018-11-05 22:43 (688 d 10:17 ago) – Posting: # 19536
Views: 4,896

Hi Ohlbe and Hötzi,

Thanks for your qualified opinions.

I am inclined to do this:

lines(c(5.6, 5.6), c(4.1,18), col="green", lwd=6)
lines(c(8, 8), c(4.1,8.8 ), col="red", lwd=6)

where the red line indicates the level of noise (in this case, right of the peak) and the greeen one is the signal. Roughly.

Note that in both cases I quantify s as well as n in one direction from the baseline mean or median or whatever.

Thus I am landing at s:n = (18-4.1) / (8-4.1) = 3.6.
I am not in any way claiming this is better or worse, only that this is my idea of an approach.

If I recall correctly, if you are "a large software vendor" -and I will mention none in particular- you can also do something like:

k=3                   #a miserable sad pointless constant to make s:n look better ??
a=sd (y3[400:714])    #sd of points on the peak
b=sd (y3[800:1000])   #sd of points adjacent to the peak

which gives a result of about 5.:-D
Personally, I would of course always adjust k so that s:n is not less than 10 or so, just to avoid questions. I mean, I care about my data because I am not a nasty person :-D:-D:-D

I could be wrong, but...

Best regards,

R's base package has 274 reserved words and operators, along with 1761 functions. I can use 18 of them (about 14 of them properly). I believe this makes me the Donald Trump of programming.

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