I am used to setting the NA treatment to neutral (Percentile NAs Neutral), but I was wondering if there is an even better method out there on how to treat all the NA`s you are getting in your RS?
I believe there is a fall-back for NAs.
You could try providing your own explicit fall-back. Something like;
isNA(LTGrthMean,Fmedian("LTGrthMean",#Industry))Regarding that screenshot, if you have any factors with 0% weight, they will be counted as NA in that report.
I understand this, that I have to tell the treatment of NA in each node with “isNA”, is there a more general one, that applies to all NA`s, like: “latest available value”
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Ok. From the docs;
The NAHandling parameter is optional and is used to control what happens in preliminary reports where many items could be missing. Preliminary reports are press releases by the company and only affect the most recent (“0”) offset period. They can last several weeks and can cause false signals due to incomplete data (see “CompleteStmt” for a way to identify companies with preliminary data).
Three options are available when an NA is found in a preliminary report:
So maybe, not using PIT Method - Prelim would help. P123 would need to confirm how NAs are handled when preliminary is not allowed.
No, I’m afraid not, but it’s a good idea. If it’s important to you, please create a feature request.