inst/scripts/Forecasting/seasonal.R
In gbonte/gbcode: Code from the handbook "Statistical foundations of machine learning"
rm(list=ls())
setwd(paste(find.package("gbcode"),"scripts/Forecasting",sep="/"))
load("./data/bench.temp.200.Rdata")
D = get("clothing", asNamespace('SLBDD'))
D=remNA(Temp[1:400,3])
S=detectSeason(D,Ls=length(D),debug=FALSE)
par(mfrow=c(4,1),mar=2*c(1,1,1,1))
plot(D,type="l")
lines(S$spattern+S$strend,col="red")
plot(D-S$spattern+S$strend,type="l",main="residual")
plot(S$spattern,type="l",main="seasonal")
plot(S$strend,type="l",main="trend")
gbonte/gbcode documentation built on Feb. 27, 2024, 7:38 a.m.
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rm(list=ls())
setwd(paste(find.package("gbcode"),"scripts/Forecasting",sep="/"))
load("./data/bench.temp.200.Rdata")
D = get("clothing", asNamespace('SLBDD'))
D=remNA(Temp[1:400,3])
S=detectSeason(D,Ls=length(D),debug=FALSE)
par(mfrow=c(4,1),mar=2*c(1,1,1,1))
plot(D,type="l")
lines(S$spattern+S$strend,col="red")
plot(D-S$spattern+S$strend,type="l",main="residual")
plot(S$spattern,type="l",main="seasonal")
plot(S$strend,type="l",main="trend")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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