`SsPowerTable.Rd`

Generate combinations of numbers of readers J and numbers of cases K for desired power and specified random factor(s)

```
SsPowerTable(
dataset,
FOM,
effectSize = NULL,
alpha = 0.05,
desiredPower = 0.8,
analysisOption = "RRRC"
)
```

- dataset
The

**pilot**ROC dataset to be used to extrapolate to the**pivotal**study.- FOM
The figure of merit.

- effectSize
The effect size to be used in the

**pivotal**study, default value is`NULL`

. See Details.- alpha
The The size of the test, default is 0.05.

- desiredPower
The desired statistical power, default is 0.8.

- analysisOption
Specification of random factor(s): "RRRC" (the default), "FRRC", or "RRFC".

A list containing up to 3 (depending on `analysisOption`

)
data frames.

Each dataframe contains 3 arrays:

- numReaders
The numbers of readers in the pivotal study.

- numCases
The numbers of cases in the pivotal study.

- power
The estimated statistical powers.

The default `effectSize`

uses the observed effect size in the
pilot study. A supplied numeric value over-rides the default value.

The procedure is valid for ROC studies only; for FROC studies see online books.

```
# \donttest{
## Examples with CPU or elapsed time > 5s
## user system elapsed
## SsPowerTable 20.033 0.037 20.077
## Example of sample size calculation with OR method
## SsPowerTable(dataset02, FOM = "Wilcoxon", method = "OR")
# }
```