plot.ils.fqcs: Plotting method for 'ils.fqcs' objects

In ILS: Interlaboratory Study

Plotting method for 'ils.fqcs' objects

Description

Generic function to plot objects of 'ils.fqcs' class. Results of functional ILS studies are graphically shown.

Usage

## S3 method for class 'ils.fqcs'
plot(x, type = "l", xlab = NULL, ylab = NULL, legend = TRUE, col = NULL, ...)

Arguments

x	An object of class ils.fqcs (Functional Quality Control Statistics).
type	1-character string giving the type of plot desired. The following values are possible for fdata class object: "l" for lines (by default), "p" for points, , "o" for overplotted points and lines, "b", "c" for (empty if "c") points joined by lines, "s" and "S" for stair steps and "h" for histogram-like vertical lines. Finally, "n" does not produce any points or lines. The following values are possible for fdata2d class object: "image.contour" (by default) to display three-dimensional data and add the contour lines, "image" to display three-dimensional data, "contour" to display a contour plot, "persp" to display a perspective plots of a surface over the x-y plane and "filled.contour" to display a contour plot with the areas between the contours filled in solid color.
xlab	Title for the x axis.
ylab	Title for the y axis.
legend	Logical argument. Default is TRUE then The legend default is used.
col	Color specifications.
...	Other arguments to be passed to or from methods.

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

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)

ILS documentation built on Jan. 16, 2023, 1:07 a.m.