Last seen: Aug 15, 2025
It varies, because of my auto-adaption script, which provides the recovery boost. However, much of the time it is 56 @ -4 / 34 @ 15. When the actual I...
I think that is a very reasonable statement of aims. Set out what we do know (plus any caveats) and let folks decide for themselves. I've now got ri...
I do, and I know why you are concerned about the constant's size relative to the output variable range! It seems like it is do-able in R. Crude p...
I looked for them but could find them, such notions are beyond the simple spreadsheets I have. I am sure they can be done in python or R, but I would ...
We cross-posted, as I said, it's all in the zip file I have just posted, sor by ambient to get the extremes. I am not sure looking at the most extreme...
I thought we were 'all agreed' that we 'all set our own comfort parameters' (desired IAT, how fast the recovery does or doesn't happen etc). The requi...
Not quite true, I chose the periods I did because they had some extremes, though not many, a reflection of the fact I have only been collecting data f...
None of them. They are all provisional. In an ideal world, the latest one will be the best approximation. I am not sure Jame has suggested any 's...
Provisionally, yes. But I have to be cautious because the data sets are small, it's only one particular set up, etc etc. At this stage I think it is w...
A bit more analysis, but with the caveat that the data sets are small. I have however removed the double 1.18 correction factor, the data used in this...
@jamespa - I think I might be getting somewhere. (1) the current midea data file you have (and I have been using) does have a double 1.18 correction...
I agree it's all about choice, and I am trying to choose a method which gets a good enough answer, without unnecessary effort, in a reasonable time fr...
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