probcont2disc: Converts continuous probability values into binned discrete...

Description Usage Arguments Value Note Author(s) Examples

View source: R/probcont2disc.R

Description

Converts continuous probability values into binned discrete probability forecasts. This is useful in calculated Brier type scores for values with continuous probabilities. Each probability is assigned the value of the midpoint.

Usage

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    probcont2disc(x, bins = seq(0,1,0.1) )
       

Arguments

x

A vector of probabilities

bins

Bins. Defaults to 0 to 1 by 0.1 .

Value

A vector of discrete probabilities. E

Note

This function is used within brier.

Author(s)

Matt Pocernich

Examples

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#  probabilistic/ binary example

set.seed(1)
x <- runif(10) ## simulated probabilities.

probcont2disc(x)
probcont2disc(x, bins = seq(0,1,0.25) )

## probcont2disc(4, bins = seq(0,1,0.3)) ## gets error

verification documentation built on May 29, 2017, 3:10 p.m.

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