USGS-R / protoloads

Prototyping and exploring options for broad-scale load forecasting
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fig: error vs lead time overall #55

Closed aappling-usgs closed 6 years ago

aappling-usgs commented 6 years ago

img_20180510_162131431

jzwart commented 6 years ago

image Are dots preferred or boxplots? Could also remove outliers for boxplots and put the model range side-by-side for each lead time image Or z_scored error for comparison across sites image

aappling-usgs commented 6 years ago

Nice set of options! This is going to be a really cool plot.

aappling-usgs commented 6 years ago
jzwart commented 6 years ago

I'll reverse the x-axis and work up a few more plot examples with the bullet points you listed. Good comments!

jzwart commented 6 years ago

Violin plots don't look great; they are too narrow to be useful. And jittered points are really busy so I think boxplots are the way to go.

boxplots are looking OK but I can't get the LeadTime 10-29 to be the same width as the 0-9 LeadTime boxplots. I have to adjust site labels too image

absolute relative error is below:

image

aappling-usgs commented 6 years ago

Nice! Now the results are really popping out. Thanks for trying violin and scatter plots, and I'm content with your conclusion that boxplots are the way to go. I'm also OK with the blue/red pairs being narrower than the red-only days, especially if it's a headache to get ggplot to do something else.

I think if we show just one plot, it should be the relative error plot, though I could see including both absolute and relative errors. Do you agree?

You labeled that relative error plot "absolute relative error" - does it work to make it non-absolute so that we get some negatives in there? I'm interested in knowing/reporting the direction of bias, if there is one.

jzwart commented 6 years ago

Yeah, I think the relative error is the most useful, although magnitude of error can also be useful. We'll see if there's space for both. Or we could put some summary stats for stream flux and/or error that would give a sense for magnitude of flux error.

here is non-absolute relative error: image

aappling-usgs commented 6 years ago

Cool! Could you add a horizontal line at 0 for reference, get the site labels not to overlap the data, and call it good?

jzwart commented 6 years ago

Yup! I'll make a PR with those changes