Update label map by marking reversed outcomes
Source:R/margot_reversed_labels.R
margot_reversed_labels.Rd
Helper to tag reversed outcomes by prepending "(reduced)" to labels. This function now handles the new "_r" suffix convention for flipped models.
Arguments
- label_map
named list mapping variable names to human-readable labels
- reversed
character vector of variable names that have been flipped
- use_r_suffix
logical; if TRUE (default), creates new entries with "_r" suffix for flipped outcomes. If FALSE, uses the old behavior of modifying in-place.
- remove_original
logical; if TRUE and use_r_suffix is TRUE, removes the original (non-flipped) entries from the label map. Default is FALSE.
Examples
label_mapping_all <- list(
t2_log_hours_exercise_z = "Hours of Exercise (log)",
t2_hlth_fatigue_z = "Fatigue",
t2_kessler_latent_anxiety_z = "Anxiety",
t2_kessler_latent_depression_z = "Depression",
t2_rumination_z = "Rumination",
t2_foregiveness_z = "Forgiveness",
t2_perfectionism_z = "Perfectionism",
t2_self_esteem_z = "Self Esteem",
t2_gratitude_z = "Gratitude",
t2_lifesat_z = "Life Satisfaction",
t2_meaning_purpose_z = "Meaning: Purpose",
t2_meaning_sense_z = "Meaning: Sense",
t2_pwi_z = "Personal Well-being Index",
t2_belong_z = "Social Belonging",
t2_neighbourhood_community_z = "Neighbourhood Community",
t2_support_z = "Social Support"
)
flip_outcomes <- c(
"t2_kessler_latent_anxiety_z",
"t2_kessler_latent_depression_z",
"t2_rumination_z"
)
# new behavior (default): creates entries with _r suffix
label_mapping_new <- margot_reversed_labels(label_mapping_all, flip_outcomes)
print(label_mapping_new[c("t2_kessler_latent_anxiety_z", "t2_kessler_latent_anxiety_z_r")])
#> $t2_kessler_latent_anxiety_z
#> [1] "Anxiety"
#>
#> $t2_kessler_latent_anxiety_z_r
#> [1] "(reduced) Anxiety"
#>
#> $t2_kessler_latent_anxiety_z
#> [1] "Anxiety"
#> $t2_kessler_latent_anxiety_z_r
#> [1] "(reduced) Anxiety"
# old behavior: modifies in place
label_mapping_old <- margot_reversed_labels(label_mapping_all, flip_outcomes, use_r_suffix = FALSE)
print(label_mapping_old[["t2_kessler_latent_anxiety_z"]])
#> [1] "(reduced) Anxiety"
#> [1] "(reduced) Anxiety"
# remove original entries
label_mapping_clean <- margot_reversed_labels(label_mapping_all, flip_outcomes, remove_original = TRUE)
# original anxiety entry removed, only _r version remains