Rsquare2F

Rsquare2Lambda

F2Rsquare

Lambda2Rsquare

Given values of test statistics (and the appropriate additional information) the value of the noncentral
values can be obtained. Likewise, given noncentral values (and the appropriate additional information)
the value of the test statistic can be obtained.

multivariate

design

F.and.R2.Noncentral.Conversion

Implements methods that are useful in designing research studies and analyzing data, with
particular emphasis on methods that are developed for or used within the behavioral,
educational, and social sciences (broadly defined). That being said, many of the methods
implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a
suite of functions for a variety of related topics, such as effect sizes, confidence intervals
for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size
planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and
minimum-risk point estimation perspectives), mediation analysis, various properties of
distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally
an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but MBESS became
more general and now contains methods applicable and used in a wide variety of fields and is an
orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has
greatly benefited from others, see <https://www3.nd.edu/~kkelley/site/MBESS.html> for a detailed
list of those that have contributed and other details.

Ken Kelley

MBESS

The MBESS R Package

F.and.R2.Noncentral.Conversion function

<dl> <dt>R2</dt>
<dd>squared multiple correlation coefficient (population or observed)</dd> <dt>df.1</dt>
<dd>degrees of freedom for the numerator of the F-distribution</dd> <dt>df.2</dt>
<dd>degrees of freedom for the denominator of the F-distribution</dd> <dt>p</dt>
<dd>number of predictor variables for <code>R2</code></dd> <dt>N</dt>
<dd>sample size</dd> <dt>F.value</dt>
<dd>The obtained F value from a test of significance for the squared multiple correlation coefficient</dd> <dt>Lambda</dt>
<dd>The noncentral parameter from an F-distribution</dd></dl>

Arguments

Ken Kelley (University of Notre Dame, <a href="/link/KKelley%40ND.Edu?package=MBESS&version=4.9.3" data-mini-rdoc="MBESS::KKelley@ND.Edu">KKelley@ND.Edu</a>)

Author

Conversion functions from noncentral noncentral values to their corresponding
and vice versa, for those related to the F-test and R Square. — F.and.R2.Noncentral.Conversion

<dl>

 <dt>R2</dt>
<dd>squared multiple correlation coefficient (population or observed)</dd>

 <dt>df.1</dt>
<dd>degrees of freedom for the numerator of the F-distribution</dd>

 <dt>df.2</dt>
<dd>degrees of freedom for the denominator of the F-distribution</dd>

 <dt>p</dt>
<dd>number of predictor variables for <code>R2</code></dd>

 <dt>N</dt>
<dd>sample size</dd>

 <dt>F.value</dt>
<dd>The obtained F value from a test of significance for the squared multiple correlation coefficient</dd>

 <dt>Lambda</dt>
<dd>The noncentral parameter from an F-distribution</dd>

</dl>

Ken Kelley (University of Notre Dame, <a href='mailto:KKelley@ND.Edu'>KKelley@ND.Edu</a>)

F.and.R2.Noncentral.Conversion: Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square.

Description

Usage

Value

Arguments

Author

Details

See Also

Examples