It Creates an object of class 'ils.fqcd' to perform statistical quality control. This object is used to plot functional data.
Usage
ils.fqcdata(
x,
p = NULL,
index.laboratory = NULL,
argvals = NULL,
rangeval = NULL,
names = NULL
)
Arguments
- x
A
(n x m)
matrix or data-frame. Them
is the number of points observed in each curve, andn
is the number of curves for each laboratory.- p
The number of laboratories.
- index.laboratory
The laboratory index. The index laboratory length should be equal a
p
.- argvals
Argvals, by default:
1:m
.- rangeval
The range of discretization points, by default: range(argvals).
- names
Optional. A list with tree components: main an overall title, xlab title for x axis and ylab title for y axis.
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.