BootstrapR2

Random populations are generated by resampling 
the suplied data or residuals. R2 is calculated on all the
random population's correlation matrices, provinding a distribution based on the original data.

bootstrap

Repeatability

integration

Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) <doi:10.12688/f1000research.7082.3>.

Diogo Melo

evolqg

Evolutionary Quantitative Genetics

Ana Paula Assis

Edgar Zanella

Fabio Andrade Machado

Guilherme Garcia

Alex Hubbe

Gabriel Marroig

BootstrapR2 function

<dl><dt>ind.data</dt>
<dd>Matrix of residuals or indiviual measurments</dd>
<dt>iterations</dt>
<dd>Number of resamples to take</dd>
<dt>parallel</dt>
<dd>if TRUE computations are done in parallel. Some foreach backend must be registered, like doParallel or doMC.</dd></dl>

Arguments

Author

R2 confidence intervals by bootstrap resampling — BootstrapR2

<dl>

<dt>ind.data</dt>
<dd>Matrix of residuals or indiviual measurments</dd>


<dt>iterations</dt>
<dd>Number of resamples to take</dd>


<dt>parallel</dt>
<dd>if TRUE computations are done in parallel. Some foreach backend must be registered, like doParallel or doMC.</dd>

</dl>

R2 confidence intervals by bootstrap resampling

BootstrapR2: R2 confidence intervals by bootstrap resampling

Description

Usage

Value

Arguments

Author

See Also

Examples