observation.error

Observation made by method to be quantified.   This
	   information can be entered two ways.  If obs is a vector of
	   length 4, it is assumed that is contains the values c(n11,
	   n10, n01, n00), where n11 are the number of correctly
	   predicted events and n01 is the number of incorrectly
	   predicted non-events.  

The gold standard.  This is considered a
	   higher quality observation (coded {0, 1 } ).

gold.standard

Quantifies observation error through use of a ``Gold
 Standard'' of observations.

file

Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.

Eric Gilleland

verification

Weather Forecast Verification Utilities

observation.error function

<dl>	 <dt>obs</dt>
<dd>Observation made by method to be quantified. This
	 information can be entered two ways. If obs is a vector of
	 length 4, it is assumed that is contains the values c(n11,
	 n10, n01, n00), where n11 are the number of correctly
	 predicted events and n01 is the number of incorrectly
	 predicted non-events.</dd>	 <dt>gold.standard</dt>
<dd>The gold standard. This is considered a
	 higher quality observation (coded {0, 1 } ).</dd>	 <dt>...</dt>
<dd>Optional arguments.</dd> </dl>

Arguments

Author

Observation Error — observation.error

<dl>

	 <dt>obs</dt>
<dd>Observation made by method to be quantified. This
	 information can be entered two ways. If obs is a vector of
	 length 4, it is assumed that is contains the values c(n11,
	 n10, n01, n00), where n11 are the number of correctly
	 predicted events and n01 is the number of incorrectly
	 predicted non-events.</dd>

	 <dt>gold.standard</dt>
<dd>The gold standard. This is considered a
	 higher quality observation (coded {0, 1 } ).</dd>

	 <dt>...</dt>
<dd>Optional arguments.</dd>

 </dl>

observation.error: Observation Error

Description

Usage

Value

Arguments

Author

See Also

Examples