EvalImp

The function is evaluate the imputed data sets based on the mean and standard deviation

Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.

Mohamed Soudy

MERO

Performing Monte Carlo Expectation Maximization Random Forest
Imputation for Biological Data

EvalImp function

<dl><dt>Originaldata</dt>
<dd>data frame of original data containing the missing values</dd>
<dt>ImputedSets</dt>
<dd>list of imputed data frames</dd>
<dt>Imputed.mean</dt>
<dd>data frame of the means of the imputed data sets</dd>
<dt>Imputed.sd</dt>
<dd>data frame of the standard deviations of the imputed data sets</dd></dl>

Arguments

Mohamed Soudy <a href="/link/Mohmedsoudy2009%40gmail.com?package=MERO&version=0.1.2" data-mini-rdoc="MERO::Mohmedsoudy2009@gmail.com">Mohmedsoudy2009@gmail.com</a>

Author

Evaluate the imputed data sets and select the best data set — EvalImp

<dl>

<dt>Originaldata</dt>
<dd>data frame of original data containing the missing values</dd>


<dt>ImputedSets</dt>
<dd>list of imputed data frames</dd>


<dt>Imputed.mean</dt>
<dd>data frame of the means of the imputed data sets</dd>


<dt>Imputed.sd</dt>
<dd>data frame of the standard deviations of the imputed data sets</dd>

</dl>

Mohamed Soudy <a href='mailto:Mohmedsoudy2009@gmail.com'>Mohmedsoudy2009@gmail.com</a>

EvalImp: Evaluate the imputed data sets and select the best data set

Description

Usage

Value

Arguments

Author