Different algos! [NCA / SHAM]
Hi Ken!
R
![[image]](img/uploaded/image28.png)
SAS
![[image]](img/uploaded/image28.png)
Excel / OO Calc / Gnumeric
![[image]](img/uploaded/image28.png)
Since I’m using different algorithms. Once more: Forget linear interpolation in the descending part of the profile.
![[image]](img/uploaded/image173.png)
Have you ever asked yourself why the arithmetic and geometric means of the same data are different?
Compare
with
Are these values vaguely reminiscent of something you have seen before?
![[image]](img/uploaded/image28.png)
![[image]](img/uploaded/image28.png)
See above. And you?
❝ ❝ linlog: C12*=exp(log(33.17)+|(12-8)/(16-8)|log(7.86/33.17))=16.15
❝ How did you get the readings of 16.15? I tried to follow your equation but I could not get the answer.
R
round(exp(log(33.17)+abs((12-8)/(16-8))*log(7.86/33.17)), 2)
[1] 16.15
![[image]](img/uploaded/image28.png)
SAS
x=round(exp(log(33.17)+abs((12-8)/(16-8))*log(7.86/33.17)), 2);
16.15
![[image]](img/uploaded/image28.png)
Excel / OO Calc / Gnumeric
=ROUND(EXP(LN(33.17)+ABS((12-8)/(16-8))*LN(7.86/33.17)), 2)
16.15
![[image]](img/uploaded/image28.png)
❝ linear/lin imp and linear/log imp have the same data set. Why the output is different ?
Since I’m using different algorithms. Once more: Forget linear interpolation in the descending part of the profile.
![[image]](img/uploaded/image173.png)
Have you ever asked yourself why the arithmetic and geometric means of the same data are different?
Compare
(7.86+33.17)*0.5
with
(7.86*33.17)^0.5
Are these values vaguely reminiscent of something you have seen before?

❝ ❝ linlog: pAUC8-16=(16-8)(7.86-33.17)/log(7.86/33.17)=140.6
❝ Similarly, I could not get the answer of 140.61.
round((16-8)*(7.86-33.17)/log(7.86/33.17), 1)
[1] 140.6
![[image]](img/uploaded/image28.png)
=ROUND((16-8)*(7.86-33.17)/LN(7.86/33.17), 1)
140.6
![[image]](img/uploaded/image28.png)
❝ How did you calculate ?
See above. And you?
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- handling of missing data gracehung 2013-05-20 07:35 [NCA / SHAM]
- Lin-up/log-down trapezoidal avoids most trouble Helmut 2013-05-20 14:22
- Lin-up/log-down trapezoidal avoids most trouble yjlee168 2013-05-22 08:25
- Multiple peaks: fallback to linear trapezoidal Helmut 2013-05-22 20:25
- Multiple peaks: fallback to linear trapezoidal yjlee168 2013-05-22 21:57
- No interpolation Helmut 2013-05-22 23:25
- No interpolation yjlee168 2013-05-23 11:43
- Spaghetti & other pasta Helmut 2013-05-23 15:15
- Spaghetti & other pasta yjlee168 2013-05-23 20:47
- Spaghetti & other pasta Helmut 2013-05-23 21:29
- Spaghetti & other pasta yjlee168 2013-05-23 22:46
- Spaghetti & other pasta Helmut 2013-05-24 01:24
- Spaghetti & other pasta yjlee168 2013-05-24 09:17
- Spaghetti & other pasta Helmut 2013-05-24 01:24
- Spaghetti & other pasta yjlee168 2013-05-23 22:46
- Spaghetti & other pasta Helmut 2013-05-23 21:29
- Spaghetti & other pasta yjlee168 2013-05-23 20:47
- Spaghetti & other pasta Helmut 2013-05-23 15:15
- No interpolation Ken Peh 2013-05-30 19:55
- Different algos!Helmut 2013-05-30 22:38
- Different algos! Ken Peh 2013-06-03 17:52
- Calculate what? Helmut 2013-06-03 18:11
- Different algos! Ken Peh 2013-06-03 17:52
- Different algos!Helmut 2013-05-30 22:38
- No interpolation yjlee168 2013-05-23 11:43
- No interpolation Helmut 2013-05-22 23:25
- Multiple peaks: fallback to linear trapezoidal yjlee168 2013-05-22 21:57
- Lin-up/log-down trapezoidal example Helmut 2013-05-25 15:09
- Lin-up/log-down trapezoidal example yjlee168 2013-05-25 19:45
- Multiple peaks: fallback to linear trapezoidal Helmut 2013-05-22 20:25
- Lin-up/log-down trapezoidal avoids most trouble yjlee168 2013-05-22 08:25
- handling of missing data Ohlbe 2013-05-20 21:45
- Sorry Helmut 2013-05-21 13:53
- Sorry gracehung 2013-05-23 01:06
- Uncertain time point Helmut 2013-05-23 01:35
- Sorry gracehung 2013-05-23 01:06
- Sorry Helmut 2013-05-21 13:53
- Lin-up/log-down trapezoidal avoids most trouble Helmut 2013-05-20 14:22