fdqcs.depth | R Documentation |
This function is used to compute statistics required by the DFD chart.
fdqcs.depth(x, ...) ## Default S3 method: fdqcs.depth( x, data.name = NULL, func.depth = depth.mode, nb = 200, type = c("trim", "pond"), ns = 0.01, plot = TRUE, trim = 0.025, smo = 0.05, draw.control = NULL, ... ) ## S3 method for class 'fdqcd' fdqcs.depth( x, func.depth = depth.mode, nb = 200, type = c("trim", "pond"), ns = 0.01, plot = TRUE, trim = 0.025, smo = 0.05, draw.control = NULL, ... )
x |
an R object (used to select the method). See details. |
... |
arguments passed to or from methods. |
data.name |
a string that specifies the title displayed on the plots. If not provided it is taken from the name of the object's data. |
func.depth |
Type of depth measure, by default depth.mode. |
nb |
The number of bootstrap samples. |
type |
the method used to trim the data (trim or pond). |
ns |
Quantile to determine the cutoff from the Bootstrap procedure |
plot |
a logical value indicating that it should be plotted. |
trim |
The porcentage of the trimming. |
smo |
The smoothing parameter for the bootstrap samples. |
draw.control |
ist that it specifies the col, lty and lwd for objects: fdataobj, statistic, IN and OUT. |
Flores, M.; Naya, S.; Fernández-Casal,R.; Zaragoza, S.; Raña, P.; Tarrío-Saavedra, J. Constructing a Control Chart Using Functional Data. Mathematics 2020, 8, 58.
## Not run: library(qcr) m <- 30 tt<-seq(0,1,len=m) mu<-30 * tt * (1 - tt)^(3/2) n0 <- 100 set.seed(12345) mdata<-matrix(NA,ncol=m,nrow=n0) sigma <- exp(-3*as.matrix(dist(tt))/0.9) for (i in 1:n0) mdata[i,]<- mu+0.5*mvrnorm(mu = mu,Sigma = sigma ) fdchart <- fdqcd(mdata) plot.fdqcd(fdchart,type="l",col="gray") set.seed(1234) fddep <- fdqcs.depth(fdchart,plot = T) plot(fddep,title.fdata = "Fdata",title.depth = "Depth") summary(fddep) ## End(Not run)
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