Function reference • ILS

Interlaboratory Studies (ILS)

ILS: Interlaboratoty Study

Univariate Data Analysis

The ILS package .

lab.qcdata(): Quality Control Data

lab.qcs() print(<lab.qcs>) summary(<lab.qcs>): Create an object of class 'lab.qcs' to perform statistical quality control. This function is used to compute statistics required for plotting Statitics

h.qcs(): Function to estimate the univariate Mandel's h statistic

k.qcs(): Function to calcute the Mandel's k statistic

cochran.test(): Function to compute the Grubbs test statistic.

grubbs.test(): Function to compute the Grubbs test statistic.

lab.aov(): Function to compute the AOV

plot(<lab.qcdata>): Plot method for 'lab.qcdata' objects

plot(<lab.qcs>): Plot method for 'lab.qcs' objects

Functional Data Analysis (FDA)

FDA

ils.fqcdata(): Functional Quality Control Data

ils.fqcs() print(<ils.fqcs>) summary(<ils.fqcs>): It developes an object of class 'ils.fqcs'

mandel.fqcs(): This function is used to compute the FDA Mandel's h and k statistic.

outliers.ils(): Detecting outliers for functional dataset

boot.sim.set(): Bootstrap samples of a functional statistic

func.ils.formula(): Descriptive measures for functional data.

plot(<ils.fqcdata>): Plotting method for 'ils.fqcdata' objects

plot(<ils.fqcs>): Plotting method for 'ils.fqcs' objects

plot(<mandel.fqcs>): Plotting method for 'mandel.fqcs' objects

Databases used in the package

Univariate Data Analysis

Clinical study of blood glucose measurement.

Glucose: Glucose in Serum

Functional Data Analysis

Characterization of materials by thermogravimetric analysis.

TG: Thermogravimetry curves

DSC: Differential Scanning Calorimetry curves

IDT: Dataset composed of the initial decomposition temperature (IDT) of different samples of Calcium Oxalate, obtained by 7 different laboratories