encode

aplEncode

The <code>aplEncode</code> function of the project APL in R (<a href="https://rpubs.com/deleeuw/158476">https://rpubs.com/deleeuw/158476</a>) has been adapted to follow the standard implementation of the APL <code>encode</code> function.

Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.

Peiyuan Zhu

Using the Theory of Belief Functions

Claude Boivin

encode function

<dl><dt>base</dt>
<dd>A numeric vector which describes the number system in which we want to recode the data.</dd>
<dt>ind</dt>
<dd>The value to convert represented by a number or a numeric vector.</dd></dl>

Arguments

Author

The <code>aplEncode</code> function of the project APL in R (<a href='https://rpubs.com/deleeuw/158476'>https://rpubs.com/deleeuw/158476</a>) has been adapted to follow the standard implementation of the APL <code>encode</code> function.

Convert a value to its representation in another chosen base — encode

<dl>

<dt>base</dt>
<dd>A numeric vector which describes the number system in which we want to recode the data.</dd>


<dt>ind</dt>
<dd>The value to convert represented by a number or a numeric vector.</dd>

</dl>

encode: Convert a value to its representation in another chosen base

Description

Usage

Value

Arguments

Author

References

Examples