Creating default print methods for class sr_model

[sschildhauer]

I am creating a default print methods for sr_model using the S3 object system. The default print provides the mean value of the posterior distribution for each parameter and all stratification iso_type combinations.

[codecov]

❌ 1 Tests Failed:

Tests completed	Failed	Passed	Skipped
26	1	25	0

View the top 1 failed test(s) by shortest run time

print.sr_model::results_are_consistent_with_printed_output_for_sr_model_class

Stack Traces | 0.27s run time

Snapshot of code has changed:
old[3:10] vs new[3:10]
  Output
    An sr_model with the following median values:
    
-     Stratification Iso_type       alpha    shape       t1       y0      y1
+     Stratification Iso_type       alpha    shape      t1       y0       y1
-   1          typhi HlyE_IgA 0.001788800 1.538820 6.235540 2.405515 342.565
+   1          typhi HlyE_IgA 0.000869201 1.587970 6.41418 2.486935 317.1110
-   2      paratyphi HlyE_IgA 0.001272495 1.614535 3.700500 2.406050 153.787
+   2      paratyphi HlyE_IgA 0.001556295 1.561960 3.90369 2.852925 191.8805
-   3          typhi HlyE_IgG 0.001140990 1.346445 7.025800 2.073250 252.156
+   3          typhi HlyE_IgG 0.001337480 1.304980 5.88293 1.805900 297.7720
-   4      paratyphi HlyE_IgG 0.001742340 1.321350 4.370495 1.537045 288.325
+   4      paratyphi HlyE_IgG 0.001432405 1.386685 4.72698 2.330555 272.8455

* Run `testthat::snapshot_accept('print.sr_model')` to accept the change.
* Run `testthat::snapshot_review('print.sr_model')` to interactively review the change.

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[github-actions]

📖 https://ucd-serg.github.io/serodynamics/preview/pr114
Preview documentation for this PR (at commit 9f2fd61)

[sschildhauer]

I am a little confused with the warning/error I am getting here. It looks like there is a scoping issue relating to the base dataset when using dplyr, but when I fix the issue the tests are producing a warning. It seems like the solution might be in conflicting with each other. Grateful for any help!

[sschildhauer]

Hi Ezra,

I am having a harder time with this PR. I am not totally sure why one of the tests is not passing. Can you take a look when you have time? Also would be happy to hop on a quick chat to discuss.

Thank you,
Sam

[sschildhauer]

Hi Ezra,

I am having a harder time with this PR. I am not totally sure why one of the tests is not passing. Can you take a look when you have time? Also would be happy to hop on a quick chat to discuss.

Thank you, Sam

It looks like the test snap is recording different values than what are produced when going through github reviews. I am not totally sure why this would be happening -- maybe the median() command is being processed differently in the github reviews. @d-morrison Any pointers are greatly appreciated here!