I have a set of scatter plots comparing some different data with a reference value. I'm evaluating the quality of these comparisons by analysing slope, intercept and r values. Thus, too many similar figures can make it difficult to understand.
How can I improve this?
Perhaps tabulate the slope, intercept, and regression coefficient for each fit, but only show a representative one.
You might be able to do an error analysis in slope and intercepr for each plot to either argue all the plots are the same within statistical variation or not.
There are three ways, I'd consider:
Group the figures into figura 1a, 1b,1c... so you don't need the write the caption multiple times.
If colors are allowed you could try to put all plots in one graph and use multiple y-axes whose colors correspond to the colors of your scatter-plots (depends on how many figures you actually have.... Probably too messy with more than four figures).
If the figures itself are not so important, and you only need the regression results in your analysis, I would include the drawing in a supplementary file for the reviewers and/or as supplementary data for the online version of the manuscript.
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Graphs