FeedbackTS (version 1.5)

KDD.yearly.average-class: Class "KDD.yearly.average"

Description

Class KDD.yearly.average (yearly average of a Key Day Dataset) used as argument in FeedbackTS functions for the analysis of fragmented time directionality and feedback.

Objects from the Class

Objects can be created by calls of the form new("KDD.yearly.average", ...) and kdd.yearly.average(...).

Slots

before.after:

Object of class "matrix" with \(2\times K+1\) rows and \(n\) columns: Each column gives the yearly average of the vectors of raw values \((y_{i-K},\ldots,y_{i+K})\) of the time series for key days \(i\) occurring during a single year (\(K\) is the number of days considered after and before the key day, \(n\) is the number of years with key days in the data series and depends on keyday.threshold).

year:

Object of class "numeric", vector of size \(n\) providing the years during which the key days occurred.

keyday.threshold:

Object of class "numeric" providing the threshold value above which a day is considered as a key day (i.e. if \(y_i\ge \) keyday.threshold, then day \(i\) is a key day).

yearly.nb.keydays:

Object of class "numeric", vector of size \(n\) providing the number of key days at each year of the slot year.

Methods

[

signature(x = "KDD.yearly.average"): Extract one of the slots.

names

signature(x = "KDD.yearly.average"): Prints slot names.

show

signature(object = "KDD.yearly.average"): Prints all slots of the KDD object.

summary

signature(object = "KDD.yearly.average"): Prints summary characteristics of the KDD object.

References

Soubeyrand, S., Morris, C. E. and Bigg, E. K. (2014). Analysis of fragmented time directionality in time series to elucidate feedbacks in climate data. Environmental Modelling and Software 61: 78-86.

See Also

KDD.yearly.average, KDD, kdd.from.raw.data, rain.site.6008

Examples

# NOT RUN {
showClass("KDD.yearly.average")

#### load data for site 6008 (Callagiddy station)
data(rain.site.6008)

#### build a KDD object from raw data (site 6008: Callagiddy station)
## using a threshold value equal to 25
KDD=kdd.from.raw.data(raw.data=rain.site.6008,keyday.threshold=25,nb.days=20,
   col.series=5,col.date=c(2,3,4),na.rm=TRUE,filter=NULL)

#### build the yearly average of KDD
KDD2=kdd.yearly.average(KDD)

## summary of the object
summary(KDD2)
## names of the object
names(KDD2)
slotNames(KDD2)

## show attributes of the object
KDD2["before.after"][,1:5]
KDD2["year"]
KDD2["keyday.threshold"]
# }