ils.fqcs | R Documentation |
Create an object of class 'ils.fqcs' to perform statistical quality control. This function is used to compute requested FDA.
ils.fqcs(x, ...) ## Default S3 method: ils.fqcs(x, argvals = NULL, rangeval = NULL, ...) ## S3 method for class 'ils.fqcdata' ils.fqcs(x, ...) ## S3 method for class 'ils.fqcs' print(x, ...) ## S3 method for class 'ils.fqcs' summary(object, ...)
x |
An object of class |
... |
Other arguments passed to or from methods. |
argvals |
Argvals, by default: |
rangeval |
The range of discretization points, by default: range(argvals). |
object |
An object of class |
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.
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)
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