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A number of the info are possessing positive values Whilst some have zero and unfavorable values. What need to I do? PLz recommend me.
Imagine if a variable has unfavorable values and optimistic both of those and log is taken considering absolute values? what will be the result.
Stallman Be aware cependant que les ouvrages du projet Gutenberg et de quelques autres initiatives de numérisation ne présentent pas ces risques.
Is that needed for all variables to be normal distribution if we want to operate many regression? I did completely transform several of my variables but the result remains to be not typical. So, what need to I do then? Your suggestion is absolutely appreciated.
The previous solution is ok for the information stage, even so the DO loop is completely avoidable in PROC IML. It is more efficient to utilize the LOC function to assign LogY, as proven in the following statements.
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A criticism on the previous technique is the fact some practising statisticians don't love to add an arbitrary continual to the info. They argue that a far better way to handle detrimental values is to make use of missing values for your logarithm of the nonpositive number.
The interpretation is somewhat tougher simply because a one is added just before taking the log. As an example, ordinary breadth is
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