measure {errint}

Measures

Description

measure creates an object of class c("measure", "list").

as.measure attempts to coerce its argument x into an object of class c("measure", class(x)). If this is not possible x is returned unchanged.

is.measure returns TRUE if x is an R object with "measure" as one of its classes. It returns FALSE otherwise.

Usage

measure(s, acc, f = function(x, y) {     abs(x - y) })

as.measure(x)

is.measure(x)

Arguments

s

confidence level, e,g. s=0.05 for the standard 95 percent confidence interval.

acc

accuracy achieved by error intervals.

f

function used to compute error of intervals. See also 'Details'.

x

an R object.

Value

measure returns an object of class c("measure","list") with information regarding the error of a set of intervals.

as.measure returns an object of class c("measure",class(x)) with information contained in x if possible. Returns x otherwise.

is.measure returns TRUE if x is an R object with "measure" as one of its classes. FALSE otherwise.

Author(s)

Jesus Prada, [e-mail]

References

Link to the scientific paper

Prada, Jesus, and Jose Ramon Dorronsoro. "SVRs and Uncertainty Estimates in Wind Energy Prediction." Advances in Computational Intelligence. Springer International Publishing, 2015. 564-577,

with theoretical background for this package is provided below.

http://link.springer.com/chapter/10.1007/978-3-319-19222-2_47

Examples

measure(0.1,0.7)

measure(0.1,0.7,function(x,y){y-x})


l<-list(s=0.1,acc=0.78,f=function(x,y){abs(x-y)},err=0.02)
as.measure(l)

v<-c("a","b")
as.measure(v)


l<-list(s=0.1,acc=0.78,f=function(x,y){abs(x-y)},err=0.02)
is.measure(l)
res<-as.measure(l)
is.measure(res)