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:
Cheers,
E.J.
EJ
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