[Feature Request]: Top variable should be on y-axis for scatterplots everywhere

[PerPalmgren]

Description

No response

Purpose

No response

Use-case

No response

Is your feature request related to a problem?

In statistics it is common practice to insert the dependent variable on the Y axis and the independent variable on the X- axis. Of course, in correlations it does not matter but in regressions it does. However, often the variable inserted at the TOP in a correlation analysis is the dependent variable. Thus, it would be good with coherency when running JASP. Right now, when running a scatter plot for the Descriptive modules when I insert the dependent variable on the TOP (see picture) it ends up in the results on the X-ais (see picture). This makes my students slightly confused. For clarification of pictures, in Swedish “Hopphöjd” means jump height and is = dependent variable while “Benstyrka” is leg strength and is = independent variable.

Describe the solution you would like

I would suggest that the scatter plot function in the Descriptive module would work on the same premises as in the Regression module (more specifically correlation), thus when running a scatter plot the variable inserted at the TOP (see picture) ends up on the Y-axis (picture).

Describe alternatives that you have considered

No response

Additional context

[PerPalmgren]

Hi,
Will this be possible to rectify and implement for the 0.17 version? I guess it is not a substantial change.
All the best
Per

[Kucharssim]

Yes, I will take a look into it by then!

[PerPalmgren]

Hi,
Is this feature incorporated now in the new version?

[juliuspfadt]

Simon knows this better than me, but since the project it is assigned to is 0.17, I doubt it is in 0.16.2, nor will it be in 0.16.3. I apologize for the delay.

[PerPalmgren]

So, it is sure it will not be in 0.16.3?😢

[PerPalmgren]

It seems like in JASP 0.16.3 this function has also disappeared in the correlation module😥. I really think it would be beneficial if in ALL scatter plots the inserted top variable always ends up on the Y-axis (so the dependent variable gets accurately placed).
Kind regards
Per

[Kucharssim]

It seems like in JASP 0.16.3 this function has also disappeared in the correlation module😥

Can you clarify? We certainly did not remove any functionality...

[PerPalmgren]

Sorry I was wrong. It seems to work now. In the Regression module (more specifically correlation), thus when running a scatter plot the variable inserted at the TOP (see picture) ends up on the Y-axis. But as I stated above it would be nice to have this feature for the scatter plots in the descriptive as well.

[Kucharssim]

Yes, I am looking into it right now, but I am not sure whether we already fixed it, or whether I don't understand the issue... It seems that the two analyses show the same variables on the x and y axis:

1. Descriptives

2. Correlation

Now I think we could do a better job at making sure that the two plots look exactly identical, but I don't see an issue with the flipped axes... Or is there some setting I am missing to select? Thanks!

[PerPalmgren]

It is not the case when I run it under customizable plots (scatter plots) in the descriptive module (see below).

[Kucharssim]

Ah, ok, thanks! But then this behaviour is again the same between descriptives and correlations, where selecting the display pairwise give you the plots one by one instead of arranged in a matrix:

1. Descriptives
   

2. Correlation
   

When I think about it, it does make sense to me to display those plots as they are: My implicit thinking is that the first and second variable entered in the box are associated with the x- and y- axis of the scatter plot, respectively. So I am not entirely convinced by the argument that this is "how it's done", as that probably depends on personal preferences.

I agree though that it can be confusing when displayed next to each other within one analysis:

So I think we need to change the plots in both descriptives and correlations. Perhaps we can also reuse the code to make the plots identical.