This function uses `pwr.anova.test`

from the `pwr`

package in combination with `convert.cohensf.to.omegasq`

and
`convert.omegasq.to.cohensf`

to provide power analyses for Omega
Squared.

```
pwr.omegasq(
k = NULL,
n = NULL,
omegasq = NULL,
sig.level = 0.05,
power = NULL,
digits = 4
)
# S3 method for pwr.omegasq
print(x, digits = x$digits, ...)
```

- k
The number of groups.

- n
The sample size.

- omegasq
The Omega Squared value.

- sig.level
The significance level (alpha).

- power
The power.

- digits
The number of digits desired in the output (4, the default, is quite high; but omega squared value tend to be quite low).

- x
The object to print.

- ...
Additional arguments are ignored.

An `power.htest.ufs`

object that contains a number of input and
output values, most notably:

- power
The (specified or computed) power

- n
The (specified or computed) sample size in each group

- sig.level
The (specified or computed) significance level (alpha)

- sig.level
The (specified or computed) Omega Squared value

- cohensf
The computed value for the Cohen's

*f*effect size measure

This function was written to work similarly to the power functions in the
`pwr`

package.

`pwr.anova.test`

,
`convert.cohensf.to.omegasq`

,
`convert.omegasq.to.cohensf`

```
pwr.omegasq(omegasq=.06, k=3, power=.8)
#> $k
#> [1] 3
#>
#> $n
#> [1] 51.32635
#>
#> $omegasq
#> [1] 0.06
#>
#> $sig.level
#> [1] 0.05
#>
#> $power
#> [1] 0.8
#>
#> $digits
#> [1] 4
#>
#> $es
#> [1] "omegasq"
#>
#> $note
#> [1] "n is number in each group"
#>
#> $method
#> [1] "Balanced one-way analysis of variance power calculation"
#>
#> $cohensf
#> [1] 0.2526456
#>
#> attr(,"class")
#> [1] "pwr.omegasq"
```