Sure, I knew you meant that, hence the smiles :smile:
I do have 'better' PO models, in the sense that they can use more parameters.
One (let's call it 'A') models the GI tract with 3 parameters describing gastric emptying, rate of absorption in the small intestine, small intestine emptying, and...
Don't I? Sounds exactly like what I wanted to do :smile:
I had indeed already tried (but with nlm, not with FME) the regression using all 4 parameters. Trouble there is that basically alpha is determined more by the data than by what I decide. I found that I needed to scale the sum of squared...
Thank you both for your replies!
I feared that my requirement to fit CL and V to only some of the data would cause trouble. But I'm hopeful, given @Number Nine 's explanation, that it may perhaps be done.
The reason why I'd like to do the fitting this way, if possible, is that the equation for...
I wonder if anyone can please help / point me to some info on how to solve this problem. I posted the same question on another website, and so far there is no conclusive answer.
I have some pharmacokinetic data for a molecule that was administered in rat, first IV (intra-venously), then PO...
"Sure, you do get heckled when you do stand-up comedy. But it's particularly unpleasant when it's personal. Once there was this guy in the audience who hated Italians; I don't know why - he was really pissed off with all Italians. Including me, apparently.
"As soon as I got on stage - I hadn't...
Correction to the above: item 5 would not be present twice, only item 3. Still, that means that finding the minimal set of 'sets' that cover all items is not sufficient in general to match each item to a specific set. Situations like the one in the first example, with s1 and s4 covering...
Thank you both!
This is what came up when searching for what you suggested: https://stackoverflow.com/questions/39184257/set-cover-approximation-in-r
Which is good, because I'm already using lpSolve for other applications, in fact using a very clever trick that @andrewkirk showed me to assign a...
Hello,
I am tackling a problem related to clustering, and something came up that got me quite baffled.
Suppose you have N distinct objects. Each of them is associated to a list of 'descriptors'.
The task is to cluster together objects that have as many descriptors as possible in common, with the...
OK, I see... very interesting, thanks.
I was trying to write a differential equation to check what effect applying a constant power would have on the helicopter's vertical velocity, but I reasoned that power and delta v can't be chosen independently, and I don't know how to relate them. The...
OK, I think I got it now, thank you both.
I watched the drone video; that was quite useful too.
So, if someone looks at this from outside, initially they will see the fly hovering at the same height compared to the 'ground'.
And it would continue to do so weren't it for the fact that the air in...
Thank you all for your replies!
So if I understand correctly, it's all down to inertia.
When the elevator accelerates, all objects that are inside it (including the air) will try to remain where they are, as seen from an external observer, and a force will have to apply to all of them to get...
Thank you all for your answers!
Unfortunately I did not manage to convince any fly to travel with me in the elevator, so this still remains a theoretical question for me.
I think the point about the weight is clear: the fly flaps its wings, i.e. it pushes some air down, to create a corresponding...
Suppose that a fly flies into an elevator and hovers in mid-air. The doors close and the elevator goes up.
In analogy with a similar example (link), I imagine that the fly will travel up, it won't fall to the elevator floor.
And I guess this is because the 'air' in the elevator, which is what...
Found an excellent tool to do this in R: deSolve. Not only it can simulate the time course for many types of differential and even difference equations, given the parameters, but it can also fit experimental data (i.e. find the best estimates for the parameters). I'm going to try it asap...
I see... now I think I understand.
So simulating in this context means trying out a large combinatorial set of possible values of the parameters that determine the number of substances that fall into each 'final' category, so one can check if small changes in the input parameters cause large...