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I've a difficulty with normality test once again. So as to make sure that I can use parametric examination, I need to be sure that my residual distribution is regular. Nonetheless, Once i check with the value of skewness and kurtosis in the residual, it can be -0.
I do think you need to go over this having a statistician and demonstrate him/her the info. Some choices contain a Satterthwaite check (which will not demand equivalent variances) or simply a nonparametric check for locale. If you are using SAS, you'll be able to submit your challenge into the SAS Assist Community.
I used to be wondering if This is certainly a concern that may be solved - my workaround is to put in writing the tables I would like from PF1 inside of a long lasting location then insert a proc dataset to remove in PF2 - but Preferably I could just reference the exact same get the job done library across System Flows.
If not less than one particular this sort of index is uncovered, Those people constructive values are reworked and overwrite the missing values. A lacking price remains in LogY for just about any element for which Y is adverse.
Eg I import details in PF1 and go away the desk in do the job, when I am in PF2, I'm struggling to reference this desk as it doesn't begin to see the table in the PF2 perform library?
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I've an information set for which the dependent variable is both favourable and unfavorable. Would you say an alternative would be to choose absolute values, then get logs, look at more info ahead of multiplying the original values with -1.
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