The Power at limits [🇷 for BE/BA]
Dear All!
Back from the date with the Blonde downstairs an having some spare time
,
Seems ElMaestro's question is able to put the power to the limits.
Here results of power.equivalence.md around N=6:
R code:
Result:
I would expect power is increasing with increasing n.
Or miss I here something?
BTW: My SAS code shows the same effect.
All this is hairsplitting of course.
Edit: Added two lines above to allow copy-pasting of code to R-console. BTW, change the sample size vector to
Back from the date with the Blonde downstairs an having some spare time

Seems ElMaestro's question is able to put the power to the limits.
Here results of power.equivalence.md around N=6:
R code:
library(MBESS)
alpha <- 0.05
logscale <- TRUE
ltheta1 <- 0.8
ltheta2 <- 1/ltheta1
ldiff <- 0.95
CV <- 0.65 # added [HS]
sigma <- sqrt(log(1+(CV)^2)) # added [HS]
n <- c(4,6,8,10,12,14,16)
df <- n-2
pow <- mapply(power.equivalence.md,n=n,nu=df, MoreArgs =list(alpha, logscale, ltheta1, ltheta2, ldiff, sigma))
res <- data.frame(n=n, power=pow)
res
Result:
n power
1 4 0.0045417784
2 6 0.0016203829
3 8 0.0009763342
4 10 0.0007993335
5 12 0.0007966979
6 14 0.0009067329
7 16 0.0011306148
I would expect power is increasing with increasing n.
Or miss I here something?
BTW: My SAS code shows the same effect.
All this is hairsplitting of course.
Edit: Added two lines above to allow copy-pasting of code to R-console. BTW, change the sample size vector to
n<-c(4,6,8,10,12,14,16,38,40,152,154,344,346)
and watch (the gamma-function needs the faculty, which runs out of steam - at least on 32-bit operating systems). [Helmut]—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- non-central t, power, R: ElMaestro 2009-10-03 19:05
- non-central t, power, R: Helmut 2009-10-03 21:45
- non-central t, power, R: ElMaestro 2009-10-04 21:51
- non-central t, power, R: Helmut 2009-10-04 23:58
- non-central t, power, R: ElMaestro 2009-10-04 21:51
- non-central t is not the question d_labes 2009-10-05 12:58
- SAS -> R -> SAS Helmut 2009-10-05 14:53
- Lost in translation d_labes 2009-10-06 14:31
- Lost in translation Helmut 2009-10-06 14:42
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- Lost in translation Helmut 2009-10-06 14:42
- Lost in translation d_labes 2009-10-06 14:31
- non-central t is not the question ElMaestro 2009-10-05 17:32
- Power of TOST in R d_labes 2009-10-06 16:45
- Power of TOST (R package MBESS) Helmut 2009-10-07 02:18
- Power of TOST (R package MBESS) d_labes 2009-10-07 08:46
- Power of TOST (R package MBESS) Helmut 2009-10-07 12:38
- Power of TOST (R package MBESS) d_labes 2009-10-07 08:46
- The Power at limitsd_labes 2009-10-07 11:32
- Power at limits 2 d_labes 2009-10-07 15:15
- package MBESS Helmut 2009-10-07 22:36
- Package MBESS and Power curiosity d_labes 2009-10-15 14:57
- Package MBESS and Power curiosity ElMaestro 2009-10-17 12:26
- Apfelstrudel and EFG 2.01 Helmut 2009-10-17 13:44
- EFG and another power curiosity d_labes 2009-10-20 11:35
- EFG and another power curiosity ElMaestro 2009-11-23 19:03
- EFG and another power curiosity Helmut 2009-11-23 19:17
- EFG and another power curiosity ElMaestro 2009-11-23 19:03
- Package MBESS and Power curiosity ElMaestro 2009-10-17 12:26
- Package MBESS and Power curiosity d_labes 2009-10-15 14:57
- package MBESS Helmut 2009-10-07 22:36
- Power at limits 2 d_labes 2009-10-07 15:15
- Power of TOST (R package MBESS) Helmut 2009-10-07 02:18
- Power of TOST in R d_labes 2009-10-06 16:45
- SAS -> R -> SAS Helmut 2009-10-05 14:53
- non-central t, power, R: yjlee168 2009-10-07 00:08
- R code for power ElMaestro 2009-10-09 11:32
- Belgian beer ? Ohlbe 2009-10-09 11:50
- Another one - R code for power of TROST d_labes 2009-10-09 13:50
- non-central t, power, R: Helmut 2009-10-03 21:45