| lab.qcdata {ILS} | R Documentation | 
Quality Control Data
Description
It creates a 'lab.qcdata' class object to perform the interlaboratory study. This object is used to plot ILS data and more.
Usage
lab.qcdata(
  data,
  var.index = 1,
  replicate.index = 2,
  material.index = 3,
  laboratory.index = 4,
  data.name = NULL
)
Arguments
data | 
 A matrix or data-frame that contains the data, replicate index, type of material, and the laboratory.  | 
var.index | 
 A scalar with the column number corresponding to the observed variable (the critical to quality variable). Alternativelly can be a string with the name of the quality variable.  | 
replicate.index | 
 A scalar with the column number corresponding to the index each replicate.  | 
material.index | 
 A scalar corresponding to the replicated number.  | 
laboratory.index | 
 A scalar that defines the index number of each laboratory.  | 
data.name | 
 A string specifying the name of the variable which appears on the plots. If name is not provided, it is taken from the object given as data.  | 
Examples
library(ILS)
data(Glucose)
Glucose.qcdata <- lab.qcdata(Glucose)
str(Glucose.qcdata)
summary(Glucose.qcdata)
[Package ILS version 0.3 Index]