binarize

This function will transform data into binary data (0,1). If the data is already binary, this function does nothing.

Bootstrap methods to assess accuracy and stability of estimated network structures
and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible
specification of any undirected network estimation procedure in R, and offers
default sets for various estimation routines.

Sacha Epskamp

bootnet

Bootstrap Methods for Various Network Estimation Routines

Eiko I. Fried

binarize function

<dl> <dt>x</dt>
<dd>A data frame or matrix</dd> <dt>split</dt>
<dd>Either a function to split on (as character or as function) or a vector. e.g., <code>split = "mean"</code> will split every variable on the mean of that variable, <code>split=2</code> will make every value above 2 a 1 and every value below 2 a 0 and a vector of the same length as each variable in the dataset will use those elements to split.</dd> <dt>na.rm</dt>
<dd>The <code>na.rm</code> argument used in the split function.</dd> <dt>removeNArows</dt>
<dd>Logical, should rows with <code>NA</code> be removed?</dd><dt>verbose</dt>
<dd>Output progress to the console?</dd></dl>

Arguments

Sacha Epskamp &lt;mail@sachaepskamp.com&gt;

Author

Binarizes a dataset — binarize

<dl>

 <dt>x</dt>
<dd>A data frame or matrix</dd>

 <dt>split</dt>
<dd>Either a function to split on (as character or as function) or a vector. e.g., <code>split = "mean"</code> will split every variable on the mean of that variable, <code>split=2</code> will make every value above 2 a 1 and every value below 2 a 0 and a vector of the same length as each variable in the dataset will use those elements to split.</dd>

 <dt>na.rm</dt>
<dd>The <code>na.rm</code> argument used in the split function.</dd>

 <dt>removeNArows</dt>
<dd>Logical, should rows with <code>NA</code> be removed?</dd>

<dt>verbose</dt>
<dd>Output progress to the console?</dd>

</dl>

binarize: Binarizes a dataset

Description

Usage

Value

Arguments

Author