n.oneway

Calculates the required sample size for a one-way ANOVA.

Power analysis is used in the estimation of sample sizes for
experimental designs. Most programs and R packages will only output the highest
recommended sample size to the user. Often the user input can be complicated
and computing multiple power analyses for different treatment comparisons can
be time consuming. This package simplifies the user input and allows the user
to view all of the sample size recommendations or just the ones they want to see.
The calculations used to calculate the recommended sample sizes are from the
'pwr' package.

Aaron McGarvey

easypower

Sample Size Estimation for Experimental Designs

n.oneway function

<dl><dt>iv</dt>
<dd>List of data for the treatment to be tested.</dd>
<dt>sig.level</dt>
<dd>Desired significance level (default is 0.05).</dd>
<dt>power</dt>
<dd>Desired level of power (default is 0.80).</dd></dl>

Arguments

Calculates the required sample size for a one-way ANOVA. — n.oneway

<dl>

<dt>iv</dt>
<dd>List of data for the treatment to be tested.</dd>


<dt>sig.level</dt>
<dd>Desired significance level (default is 0.05).</dd>


<dt>power</dt>
<dd>Desired level of power (default is 0.80).</dd>

</dl>

n.oneway: Calculates the required sample size for a one-way ANOVA.

Description

Usage

Value

Arguments

References

Examples