Last data update: 2014.03.03

R: Functional Quality Control Data
lab.fqcdR Documentation

Functional Quality Control Data

Description

It Creates an object of class 'lab.fqcd' to perform statistical quality control. This object is used to plot functional data.

Usage

lab.fqcd(x, argvals = NULL, rangeval = NULL)

Arguments

x

A (m x p) matrix or data-frame. Alternatively an (m x p x n) array. The m parameter is the number of curves, p defines the number of points observed in each curve, and n is the number of replicates.

argvals

Argvals, by default: 1:p.

rangeval

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

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.

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

## Not run: 
library(ILS)
data(TG) 
delta <- seq(from = 40 ,to = 850 ,length.out = 1000 )
curves.fqcd <- lab.fqcd(TG, argvals = delta)
windows()
xlab <- "Temperature (0C)"
ylab <- "Mass (%)"
main <- "TG curves obtained from calcium oxalate"
p <- curves.fqcd$p
col <- terrain.colors(p)
plot(x = curves.fqcd, main, xlab, ylab,legend = FALSE,col = col)
legend(45,70,c(paste("Lab",c(1:7))),
      col = col,lty = 1, lwd = c(rep(1,7),2), cex = 0.7)
      
## End(Not run)

Results