The question is straight forward. Is there a way to do that? I've searched docs but no result

Hence the question: is there a way to do that?

The goal is to get data (from half a thousand to 3-4 thousands lines) from DB, calculate standart deviation then use it as logical condition in analyzer.

For example IF std > custom_value = show_the_result ELSE null

There is a STDDEV(MDX) method used in Analyzer but it is a measure and it can not be used as logical condition (correct me if i am wrong)

Hello community, I need to solve a complex but trivial issue.

Given:

Two tables "Comment" and "Post". Each one contains an "Author" field, which is essentially a user ID. In these tables, each user ID represents an author. The goal is to count all participants together and then group them by month, language, and other metrics.

The question is how to do this within the IRIS ecosystem. Is it even possible to take two tables, get distinct data from them and then combine into one cube?

When requesting /MDX2JSON/PivotVariables/Patients?Namespace Patients shoud be passed to a method but its not. When argument passed directly into the method it works.

<Route Url="/PivotVariables/:Cube" Method="GET" Call="WritePivotVariablesForCube"/>

Has something changed in IRIS and this syntax is deprecated, or is there a bug and the colon is ignored? What could it be?

This question is continuation from https://community.intersystems.com/node/534811

Very simple, how to debug? The settings recommended in the docs don't work. I need a convenient way to keep track of what a function returns, like in other languages, by displaying it in the console.