KDD-class: Class '"KDD"'

In FeedbackTS: Analysis of Feedback in Time Series

Description

Class KDD (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", ...), kdd.from.raw.data(...) and kdd(...).

Slots

before.after:

Object of class "matrix" with 2\times K+1 rows and n columns: Each column gives the raw values y_{i-K},…,y_{i+K} of the time series, where i is the date of the key day, K is the number of days considered after and before the key day, n is the number of key days in the data series (depends on keyday.threshold).

date:

Object of class "character", vector of size n providing the dates of the key days in format yyyy.mm.dd.

year:

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

day:

Object of class "numeric", vector of size n providing for each key day the number of days since the beginning of the data series.

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≥ keyday.threshold, then day i is a key day).

Methods

[<-

signature(x = "KDD", i = "ANY", j = "ANY", value = "ANY"): Change one of the slots.

[

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

names

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

show

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

summary

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

Author(s)

Samuel Soubeyrand [e-mail], Cindy E. Morris, E. Keith Bigg.

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

Examples

showClass("KDD")

#### 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)

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

## show attributes of the object
KDD["before.after"][,1:5]
KDD["date"]
KDD["keyday.threshold"]

## change keyday threshold
KDD["keyday.threshold"]=50

FeedbackTS documentation built on Jan. 23, 2020, 5:06 p.m.