observation.error {verification} | R Documentation

## Observation Error

### Description

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

### Usage

    observation.error(obs, gold.standard = NULL, ...)

### Arguments

`obs` | 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.
`gold.standard` | The gold standard. This is considered a higher quality observation (coded {0, 1 } ).
`...` | Optional arguments.

### Value

`t` | Probability of forecasting an event, when an event occurs. A perfect value is 1.
`u` | Probability of forecasting that no event will occur, when and event occurs. A perfect value is 0.

### Note

This function is used to calculate values for the `measurement.error` function.

### Author(s)

Matt Pocernich <pocernic@rap.ucar.edu>

### See Also

`measurement.error`

### Examples

    obs <- round(runif(100))
    gold <- round(runif(100) )
    observation.error(obs, gold)

    ## Pirep gold standard

    observation.error(c(43,10,17,4) )

[Package verification version 1.20 Index]