Description Usage Arguments Details Value See Also Examples
This is a method for the function print()
for objects of class
‘mztia
’.
1 2 |
x |
An object of class ‘ |
... |
Further arguments passed to or from other methods or arguments
that can be passed down to the |
The “limits” subset (see column “frame”) of the data
frame that is contained in the “Data” element of the
‘mztia
’ object is printed.
The ‘mztia
’ object passed to the x
parameter is returned invisibly.
mztia
, print.data.frame
,
methods
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | # Dissolution data of one reference batch and one test batch of n = 6
# tablets each:
str(dip1)
# 'data.frame': 12 obs. of 10 variables:
# $ type : Factor w/ 2 levels "R","T": 1 1 1 1 1 1 2 2 2 2 ...
# $ tablet: Factor w/ 6 levels "1","2","3","4",..: 1 2 3 4 5 6 1 2 3 4 ...
# $ t.5 : num 42.1 44.2 45.6 48.5 50.5 ...
# $ t.10 : num 59.9 60.2 55.8 60.4 61.8 ...
# $ t.15 : num 65.6 67.2 65.6 66.5 69.1 ...
# $ t.20 : num 71.8 70.8 70.5 73.1 72.8 ...
# $ t.30 : num 77.8 76.1 76.9 78.5 79 ...
# $ t.60 : num 85.7 83.3 83.9 85 86.9 ...
# $ t.90 : num 93.1 88 86.8 88 89.7 ...
# $ t.120 : num 94.2 89.6 90.1 93.4 90.8 ...
# Assessment of data (in wide format) by aid of the mztia() function
res1 <- mztia(data = dip1, shape = "wide", tcol = 3:10, grouping = "type",
reference = "R", cap = FALSE)
# Print of a summary of the assessment
print(res1)
# Results of Martinez & Zhao Tolerance Interval (TI) Approach
# (TI limits calculated at each time point of the dissolution profiles of a set
# of reference batches)
#
# Time Mean LTL UTL S1.LTL S1.UTL S2.LTL S2.UTL
# 1 5 46.77167 27.22641 66.31693 22.22641 71.31693 12.22641 81.31693
# 2 10 60.13333 46.15483 74.11184 41.15483 79.11184 31.15483 89.11184
# 3 15 67.27500 56.90417 77.64583 51.90417 82.64583 41.90417 92.64583
# 4 20 71.98667 65.44354 78.52979 60.44354 83.52979 50.44354 93.52979
# 5 30 78.07000 69.54259 86.59741 64.54259 91.59741 54.54259 101.59741
# 6 60 84.81667 77.20275 92.43058 72.20275 97.43058 62.20275 107.43058
# 7 90 89.09333 76.24588 101.94079 71.24588 106.94079 61.24588 116.94079
# 8 120 91.43833 80.29321 102.58346 75.29321 107.58346 65.29321 117.58346
#
# Abbreviations:
# TL: Tolerance Interval Limit (TL); LTL: lower TL; UTL: upper TL;
# S1: level 1 boundary (LTL - 5) or (UTL + 5); S2: level 2 boundary
# (LTL - 15) or (UTL + 15).
# Fluid weights of 100 drink cans were measured in ounces:
str(dip5)
# 'data.frame': 100 obs. of 3 variables:
# $ type : Factor w/ 1 level "reference": 1 1 1 1 1 1 1 1 1 1 ...
# $ batch : Factor w/ 100 levels "b1","b10","b100",..: 1 13 24 35 46 57 68 ...
# $ weight: num 12.1 12 12 12 12 ...
# Assessment of data (in long format) by aid of the mztia() function
res2 <- mztia(data = dip5, shape = "long", tcol = 3, grouping = "type",
reference = "reference", response = "weight", cap = FALSE,
QS = c(5, 15) / 100)
# Print of a summary of the assessment
print(res2)
# Results of Martinez & Zhao Tolerance Interval (TI) Approach
# (TI limits calculated at each time point of the dissolution profiles of a set
# of reference batches)
#
# Time Mean LTL UTL S1.LTL S1.UTL S2.LTL S2.UTL
# 1 1 12.0093 11.87152 12.14708 11.82152 12.19708 11.72152 12.29708
#
# Abbreviations:
# TL: Tolerance Interval Limit (TL); LTL: lower TL; UTL: upper TL;
# S1: level 1 boundary (LTL - 0.05) or (UTL + 0.05); S2: level 2 boundary
# (LTL - 0.15) or (UTL + 0.15).
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