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JASP plotting rationale and help

Is this a place to find out about the choices JASP makes in plotting?

I need help figuring out the new HEAT map function in descriptives (since 0.16). Haven't figured out how to make it work.

Also I would like to know why JASP doesn't produce bar charts (with error bars) only line graphs. Most data in my area are not continuous so the line graph is misleading. I like the new raincloud charts, but would like to show students the same results across several formats. Bar charts (Where I can set the y-axis to 0) are particularly useful in helping students understand results in large datasets that are significant but trivial. The line graph emphasizes the difference (and won't let me change the y axis to 0 even with new editing capacity.

Thanks

Paula Marentette


Can't see how to add keywords, but I posted this on JASP AND Bayes and realized I was in the wrong place.🤔

Comments

  • Hi Paula,

    These are two separate issues:

    1. "I need help figuring out the new HEAT map function in descriptives (since 0.16). Haven't figured out how to make it work." Can you be more precise? I had trouble understanding it myself when I first saw it :-) But would you just like a short description of what it does, with an example or something?
    2. "Also I would like to know why JASP doesn't produce bar charts (with error bars) only line graphs. Most data in my area are not continuous so the line graph is misleading." This is for t-test and ANOVA? I am sure we could add the bar chart as an option. Could you make this a GitHub feature request? 

    Cheers,

    E.J.

  • EJ

    1. Heat maps: A brief description of a little gif on the help page would help me figure it out.
    2. Bar charts: I will make the request in the right spot.

    Thanks for your patience and support,

    Best

    Paula

  • OK I commented on the bar charts on GitHub. Will look at the heat maps soon.

    E.J.


  • So here is an example of the tile heat map in Descriptives. Basically, each tile represents a slice of the data. On top of each tile is some information. For instance, you can see that women with an advance education have a mean score on the DV of 7.5. The DV is selected in the first variable box, and the variables used to slice and dice the data (here: education and gender) are specified near the tile heat map settings. You can also plot sample sizes on the tiles. I had to get used to this myself, but it does allow a quick overview. I am not sure about the color scheme though -- I will ask about that.

  • Thank you!

    Now I know how to start banging about and figuring out how to use it. There must be a scale for colour somewhere: odd that brown is more...

  • Yes, I asked the team to provide an alternative color scheme

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