Open Fernandez-Felix opened 11 months ago
Hi, that's a great request -- I will keep it in mind when updating the module!
@Fernandez-Felix
As a workaround:
You should have the ES as a variable in the data. You can then compute a new column to comput exp(ES) and use that. Does that help? See https://jasp-stats.org/2018/12/18/how-to-compute-columns-in-jasp/#:~:text=How%20to%20Compute%20Columns%20in%20JASP%201%20Setting,your%20Computed%20Column%20and%20Exporting%20the%20Data%20
Thank you, This could help to interpret the results and improve the presentation. However, if the x-axis of the forest plot still appears on a logarithmic scale, it may not be sufficient. Ideally, the plot should also be rescaled.
Borja
El mar, 13 feb 2024 a las 12:38, Thomas Langkamp @.***>) escribió:
forest plot requests:
1542 https://github.com/jasp-stats/jasp-issues/issues/1542
2210 https://github.com/jasp-stats/jasp-issues/issues/2210
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Description
I know that the appropriate scale to synthesize ORs or RRs is the "log scale", but interpreting them is easier using the original scale (OR or RR). I am trying to build the forest plot using ORs. However, it seems that it is not possible to exponentiate "Effect Size" in JASP.
Purpose
I propose to aggregate the polled effect using "log scale" and then visualize the results (tables or forest plots) in ORs scale.
Use-case
No response
Is your feature request related to a problem?
No response
Is your feature request related to a JASP module?
Meta Analysis
Describe the solution you would like
I would like to visualize the results (tables or forest plots) in the original scales (i.e. OR or HR).
Describe alternatives that you have considered
No response
Additional context
No response