Function reference
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ILS - Interlaboratoty Study
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lab.qcdata() - Quality Control Data
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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
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h.qcs() - Function to estimate the univariate Mandel's h statistic
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k.qcs() - Function to calcute the Mandel's k statistic
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cochran.test() - Function to compute the Cochran test statistic
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grubbs.test() - Function to compute the Grubbs test statistic
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lab.aov() - Function to compute the AOV
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plot(<lab.qcdata>) - Plot method for 'lab.qcdata' objects
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plot(<lab.qcs>) - Plot method for 'lab.qcs' objects
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ils.fqcdata() - Functional Quality Control Data
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ils.fqcs()print(<ils.fqcs>)summary(<ils.fqcs>) - It developes an object of class 'ils.fqcs'
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mandel.fqcs() - This function is used to compute the FDA Mandel's h and k statistic
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outliers.ils() - Detecting outliers for functional dataset
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boot.sim.set() - Bootstrap samples of a functional statistic
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func.ils.formula() - Descriptive measures for functional data.
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plot(<ils.fqcdata>) - Plotting method for 'ils.fqcdata' objects
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plot(<ils.fqcs>) - Plotting method for 'ils.fqcs' objects
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plot(<mandel.fqcs>) - Plotting method for 'mandel.fqcs' objects
Databases used in the package
In order to carry out interlaboratory studies, two studies have been carried out with both univariate data and functional data, obtaining the following databases.
Clinical study of blood glucose measurement.
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Glucose - Glucose in Serum
Characterization of materials by thermogravimetric analysis.