Grouping data based on a sample indicator
This function allows to easily group data to use as input to the 'qcc' function.
qcc.groups(data, sample)
data |
the observed data values |
sample |
the sample indicators for the data values |
The function returns a matrix of suitable dimensions. If one or more group have few observations than others, NA values are appended.
Luca Scrucca
data(pistonrings) attach(pistonrings) # 40 sample of 5 obs each qcc.groups(diameter, sample) # some obs are removed, the result is still a 40x5 matrix but with NAs added qcc.groups(diameter[-c(1,2,50,52, 199)], sample[-c(1,2,50,52, 199)])
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