Rj Editor vs. Rj Editor+

[Frank.M.LoSchiavo]

Is there a simple explanation of the difference between Rj Editor and Rj Editor+?
Why is there a need for both options?

Thx.

FML

[MAgojam]

Hey FML, welcome back.

Something simple and minimal but which recalls the (+) is the possibility of obtaining output variables very easily/fast directly in the worksheet.
On these variables (excluding the Filter) you can apply e.g. Compute or Transform to create another type.
I am attaching a jamovi file with Iris data and a few lines of code in Rj Editor+ to create two new output variables (Mahalnobis distances on the centered data and Outliers) in the sheet.
On the outliers variable generated with the code in the editor+ a new nrow_outliers variable is computed which, only for the cases with outliers == "Yes", shows the row number.

The code also works with Rj editor, but it doesn't create the output variables in the sheet.
The data <- cbind(df) does its dirty work only in the plus.

Cheers,
Maurizio

Rj_iris_dist-mahalanobis_outliers.omv

(5.34 KiB) Downloaded 837 times

[Frank.M.LoSchiavo]

Ah, I see. So, beyond the general difference in user experience, Rj+ is able to do some things Rj cannot.

Thanks for providing an example, Maurizio. Do you foresee the need for both Rj and Rj+ in the future, or will one prevail and be the only option?

Thx.

FML

[MAgojam]

Do you foresee the need for both Rj and Rj+ in the future, or will one prevail and be the only option?

Hi FML,
the Rj module is a creature of @Jonathon and is perhaps the most suitable for predicting possible future changes to the module.
When he reads, maybe he intervenes.
Not to drop your question.

Cheers,
Maurizio

[jonathon]

both will continue.

Rj has the advantage that you don't need to specify the variables you want to use.
Rj+ has the advantage that it can write variables to the data set

it's not possible to combine both of these features into a single analysis, because it would result in an infinite loop.

jonathon

[Frank.M.LoSchiavo]

both will continue.

Interesting. Thanks for the info.

[seol]

Attaching variable to datasheet is a very useful function with Rj Editor+ shown below.