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RegisterFunction CVpooled (package PowerTOST) [🇷 for BE/BA]
Dear all! I am new to R and RStudio. It will be very useful to me if you help me with the following questions:
1. Here is an example of my data:
The result I got:
Why are degrees of freedom so huge? And why did I get two different results 0.1677 and 0.1750? Is it acceptable and can I use any result to calculate sample size in PowerTOST? What result must I choose (0.1677, 0.1750, 0.1853) for calculating sample size?
2. And the second question. Is argument "digits" from function CVpooled simply a number of observations for a variable?
Thank you in advance!
1. Here is an example of my data:
CVs <- ("
PKmetric | CV | n |design|source
Cmax | 0.2617 | 23 | 2x2 | study 1
Cmax | 0.1216 | 24 | 2x2 | study 2
Cmax | 0.1426 | 24 | 2x2 | study 3
Cmax | 0.1480 | 27 | 3x3 | study 4
Cmax | 0.1476 | 27 | 3x3 | study 4a
Cmax | 0.2114 | 18 | 2x2 | study 5
")
txtcon <- textConnection(CVs)
CVdata <- read.table(txtcon, header=TRUE, sep="|", strip.white=TRUE, as.is=TRUE)
close(txtcon)
CVsCmax <- subset(CVdata, PKmetric=="Cmax")
CVpooled(CVsCmax, alpha=0.2, logscale=TRUE)
print(CVpooled(CVsCmax, alpha=0.2, robust=TRUE), digits=6, verbose=TRUE)The result I got:
CVpooled(CVsCmax, alpha=0.2, logscale=TRUE)
0.1677 with 181 degrees of freedom
print(CVpooled(CVsCmax, alpha=0.2, robust=TRUE), digits=6, verbose=TRUE)
Pooled CV = 0.175054 with 129 degrees of freedom (robust df's)
Upper 80% confidence limit of CV = 0.185309Why are degrees of freedom so huge? And why did I get two different results 0.1677 and 0.1750? Is it acceptable and can I use any result to calculate sample size in PowerTOST? What result must I choose (0.1677, 0.1750, 0.1853) for calculating sample size?
2. And the second question. Is argument "digits" from function CVpooled simply a number of observations for a variable?
Thank you in advance!
Complete thread:
- Function CVpooled (package PowerTOST)Elena777 2018-01-21 08:53
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Function CVpooled (lengthy answer) Helmut 2018-01-21 17:21
- Function CVpooled (lengthy answer) Elena777 2018-01-27 10:11
- Function CVpooled (package PowerTOST) ElMaestro 2018-01-27 22:28
- Common sense Helmut 2018-01-28 00:27
- Common sense ElMaestro 2018-01-28 08:43
- Alzheimer’s Helmut 2018-01-28 11:38
- Common sense ElMaestro 2018-01-28 08:43
- To pool or not to pool d_labes 2018-01-28 13:52
- Common sense Helmut 2018-01-28 00:27
- Function CVpooled (package PowerTOST) ElMaestro 2018-01-29 00:07
- Pooling is fooling? Helmut 2018-01-29 17:53
- Pooling is fooling? nobody 2018-01-29 19:21
- Life is good ElMaestro 2018-01-30 18:23
- Life is good nobody 2018-01-30 18:31
- Life is good ElMaestro 2018-01-30 18:23
- Pooling is fooling? nobody 2018-01-29 19:21
- Pooling is fooling? Helmut 2018-01-29 17:53
- Function CVpooled (lengthy answer) Helmut 2018-01-21 17:21
Ing. Helmut Schütz