The copy command (not case-sensitive) copies the contents and splitting structures of a consolidated element into another one. This can be useful for planning and predicting purposes, such as copying the actual data for the current year into the subsequent year.
The formula is:
If you want to enter the description more precisely, you can also use
copy Actual;2018 or alternatively:
Keywords “withrules” and “norules”
To use rule-calculated values, you can enter the keyword “withrules” at the end of the copy statement.
copy Actual;2018 withrules
copy Budget;2019 norules
Keywords “withrules” and “norules” also apply to like and predict commands.
In Excel Add-in, you can set “Always use rule-calculated values for copy, like, and predict operations” in the Options dialog. If set, you can suppress usage of rules for a single operation by using the keyword “norules”.
For more information, see Splashing Command: Copy.
The like command (not case-sensitive) contains the copy command. It uses the shares of the base elements to split the values placed before the like command. As a result, a different value estimate is possible than that in copy. The formula is:
NUMBER like Element;Year
12000000 like Actual;2018
Note: when entering a number with a negative sign, you have to put an apostrophe in front of the sign.
'-12000 like Actual;2018
For more information, see Splashing Command: Like.
The as command (not case-sensitive) is similar to the like command. The difference is that it splits only the NUMBER into the distribution ratio of the given element and not, as it is with like, the WHOLE RESULTING NEW VALUES. So users can add a number with the proportions of the source values to create the new values.
The formula is: ##NUMBER as Element
##10000000 as 2018
Note: between ## and NUMBER must be no blank. Therefore negative numbers need no apostrophe in front of the sign.
For more information, see Splashing Command: As.
The predict command (not case-sensitive) calculates a new value as linear regression based on two or more given values of exactly one dimension.
predict Years:(2016:2017:2018);"All Products";Europe;Actual;Turnover;Months:("Qtr. 1")
You can use a short form if Jedox is able to guess the cell address arguments:
Important note: a prediction as linear regression is only possible if multiple elements (calculation base) of exactly one dimension are specified. Also, the final value of the multiple elements (calculation base) must not be zero.