butterworth.wge

The user can specify the order of the filter, and whether it is low pass ("low"), high pass ("high"), band stop ("stop"), or band pass ("pass") filter. Requires the CRAN package 'signal'.

 filtering 

 Butterworth 

Accompanies the texts Time Series for Data Science with R by Woodward, Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott.  It is helpful for data analysis and for time series instruction.

Bivin Sadler

tswge

Time Series for Data Science

butterworth.wge function

<dl> <dt>x</dt>
<dd>Realization to be filtered</dd> <dt>order</dt>
<dd>Order of the Butterworth filter</dd> <dt>type</dt>
<dd>Either "low", "high", "stop", or "pass" as dicsussed in Descriptions</dd> <dt>cutoff</dt>
<dd>For "low" and "high": cutoff is a real number. For "stop" and "band": cutoff is a 2-component vector</dd> <dt>plot</dt>
<dd>If plot=TRUE then plots of the original and filtered data are produced.</dd></dl>

Arguments

Author

Perform Butterworth Filter — butterworth.wge

<dl>

 <dt>x</dt>
<dd>Realization to be filtered</dd>

 <dt>order</dt>
<dd>Order of the Butterworth filter</dd>

 <dt>type</dt>
<dd>Either "low", "high", "stop", or "pass" as dicsussed in Descriptions</dd>

 <dt>cutoff</dt>
<dd>For "low" and "high": cutoff is a real number. For "stop" and "band": cutoff is a 2-component vector</dd>

 <dt>plot</dt>
<dd>If plot=TRUE then plots of the original and filtered data are produced.</dd>

</dl>

butterworth.wge: Perform Butterworth Filter

Description

Usage

Value

Arguments

Author

References

Examples