non-central t, power, R: [🇷 for BE/BA]
Hi ElMaestro,
very interesting question! I'm too short in time to read Owen's paper again (and likely too stupid to understand it as well). nQuery Advisor 7 (ASA184, I guess) comes up with
The computed power was too low for the approximation to be considered reliable. Use a larger sample size.
The lowest sample size without an error message was 40 (power 5.871678%, more than 10times the value R comes up with)...
Have you considered contacting Russell Lenth (author of ASA243 and the VBA-routines in FARTSSIE)? He writes:
very interesting question! I'm too short in time to read Owen's paper again (and likely too stupid to understand it as well). nQuery Advisor 7 (ASA184, I guess) comes up with
The computed power was too low for the approximation to be considered reliable. Use a larger sample size.
The lowest sample size without an error message was 40 (power 5.871678%, more than 10times the value R comes up with)...
Have you considered contacting Russell Lenth (author of ASA243 and the VBA-routines in FARTSSIE)? He writes:
Accuracy
- Formula accuracy
Most computations are "exact" in the sense that they are based on exact formulas for sample size, power, etc.
- Machine accuracy
Even with exact formulas, computed values are inexact, as are all double-precision floating-point computations. Many computations (especially noncentral distributions) require summing one or more series, and there is a serious tradeoff between speed and accuracy. The error bound set for cdfs is 1E-8 or smaller, and for quantiles the bound is 1E-6. Actual errors can be much larger due to accumulated errors or other reasons. Quantiles, for example, are computed by numerically solving an equation involving the cdf; thus, in extreme cases, a small error in the cdf can create a large error in the quantile.
[…] in the case of quantile computations, no warning message is generated for extreme quantiles. If you want a power of .9999 at alpha=.0001, you can expect the computed sample size to not be accurate to the nearest integer! If you specify reasonable criteria, the answers will be pretty reliable.
—
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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:
- non-central t, power, R: ElMaestro 2009-10-03 19:05 [🇷 for BE/BA]
- 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
- Macacus cynocephalus d_labes 2009-10-06 15:14
- Lost in translation Helmut 2009-10-06 21:46
- Macacus cynocephalus d_labes 2009-10-06 15:14
- 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 limits d_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