Refactor scalar case_when() branches in convert_output() to if/else

[Copilot]

convert_output() contained scalar-condition dplyr::case_when() branches that trigger dplyr 1.2.x deprecation warnings (size 1 LHS with vector RHS). This PR replaces those branches with explicit if/else logic in the affected paths while preserving existing output behavior.

• Scope

  • Updated scalar conditional branches inside R/convert_output.R where case_when() was being used as control flow rather than vectorized row-wise logic.

• Code changes

  • Replaced scalar case_when() used to derive sex from sexes column presence with direct if/else.
  • Replaced scalar case_when() used to map fleet values after out_new <- Reduce(rbind, out_list) with direct if/else.

• Regression guard

  • Added a focused test in tests/testthat/test-convert_output.R asserting convert_output() does not emit warnings for a representative SS3 fixture.

# Before
fleet = dplyr::case_when(
  any(unique(out_new$fleet) %in% fleet_names) ~ fleet,
  TRUE ~ fleet_names[fleet]
)

# After
fleet = if (any(unique(out_new$fleet) %in% fleet_names)) fleet else fleet_names[fleet]

• Fixes [refactor]: change all dplyr::case_when() to dplyr::if_else() in convert_output() #344

[Schiano-NOAA]

@copilot please also look through all other functions in the R/ folder and replace case_when with the if else scalar

[Copilot]

@copilot please also look through all other functions in the R/ folder and replace case_when with the if else scalar

Addressed in commit 3726423. I reviewed scalar-condition case_when() usage across the R functions and replaced the remaining scalar-control-flow instance in plot_aa() (R/utils_plot.R) with if/else, and added a focused no-warning assertion in tests/testthat/test-utils_plot.R.