MultipleAnalyze {stab}R Documentation

Data Analysis for Multiple Batches

Description

The following steps wii be conducted as follows:

step1. ANCOVA can be employed to test the difference in slopes and intercepts of the regression lines among factors and factor combinations. step2. Based on the statistical results, it can divide into three parts. -> slope (P>=0.25) and intercept (P>=0.25) The tests for equality of slopes and equality of intercepts do not result at a level of significance of 0.25 (there is no significant difference in slope and intercepts among the batches). The data from all batches can be combined. -> slope (P>=0.25) and intercept (P<0.25) The test rejects the hypothesis of equality of intercepts but fails to reject that the slopes are equal (there is a significant difference in intercepts but no significant difference in slopes among the batches). The data can be combined for the purpose of estimating the common slope. -> (slope (P<0.25) and intercept (P>=0.25)) or (slope (P<0.25) and intercept (P<0.25)) The result in this example shows that the test rejects the hypothesis of equality of slopes (there is a significant difference in slopes among batches). It is not considered appropriate to combine the data from all batches. step3. The shelf life will be estimated.


[Package stab version 0.0.5 Index]