It developes an object of class 'ils.fqcs'

Create an object of class 'ils.fqcs' to perform statistical quality control. This function is used to compute requested FDA.

Usage

ils.fqcs(x, ...)

# S3 method for default
ils.fqcs(x, argvals = NULL, rangeval = NULL, ...)

# S3 method for ils.fqcdata
ils.fqcs(x, ...)

# S3 method for ils.fqcs
print(x, ...)

# S3 method for ils.fqcs
summary(object, ...)

Arguments

x

An object of class ils.fqcs for which a print is desired.

...

Other arguments passed to or from methods.

argvals

Argvals, by default: 1:m.

rangeval

The range of discretization points, by default: range(argvals).

object

An object of class ils.fqcs for which a summary is desired.

References

Febrero-Bande, M. and Oviedo, M. (2012), "Statistical computing in functional data analysis: the R package fda.usc". Journal of Statistical Software 51 (4), 1-28.

Cuevas A., Febrero-Bande, M. and Fraiman, R. (2006), "On the use of the bootstrap for estimating functions with functional data". Computational Statistics & Data Analysis 51, 2, 1063-1074.

Naya, S., Tarrio-Saavedra. J., Lopez- Beceiro, J., Francisco Fernandez, M., Flores, M. and Artiaga, R. (2014), "Statistical functional approach for interlaboratory studies with thermal data". Journal of Thermal Analysis and Calorimetry, 118,1229-1243.

Examples

library(ILS)
data(TG)
delta <- seq(from = 40 ,to = 850 ,length.out = 1000 )
fqcdata <- ils.fqcdata(TG, p = 7, argvals = delta)
xlab <- "Temperature/ C"
ylab <- "Mass/ %"
fqcstat <- ils.fqcs(fqcdata)
plot(fqcstat, xlab = xlab, ylab = ylab,legend = TRUE)