This function compares treatment effects between two groups, calculating either the risk difference (RD) or relative risk ratio (RR). It supports label mapping and transformation for better interpretability of results.
Usage
margot_compare_groups(
group,
subgroup,
type = "RD",
label_mapping = NULL,
decimal_places = 4
)Arguments
- group
A data frame containing the first group's treatment effects and confidence intervals.
- subgroup
A data frame containing the second group's treatment effects and confidence intervals.
- type
Character string specifying the type of comparison. Either "RD" for risk difference (default) or "RR" for relative risk ratio.
- label_mapping
Optional list for mapping original variable names to more readable labels.
Value
A list containing two elements:
- results
A data frame with the computed statistics for each comparison.
- interpretations
A named vector of interpretation strings for each comparison.
Examples
if (FALSE) { # \dontrun{
# Assuming you have group_full and group_rels data frames
# Define label mapping
label_mapping <- list(
"t2_env_not_climate_chg_concern_z" = "Deny Climate Change Concern",
"t2_env_not_climate_chg_cause_z" = "Deny Humans Cause Climate Change",
"t2_env_not_climate_chg_real_z" = "Deny Climate Change Real",
"t2_env_not_env_efficacy_z" = "Deny Personal Env Efficacy",
"t2_env_not_sat_nz_environment_z" = "Not Sat with NZ Environment"
)
# Compare groups using Risk Difference (default)
rd_results <- margot_compare_groups(group_full, group_rels,
type = "RD",
label_mapping = label_mapping)
print(rd_results$results)
print(rd_results$interpretations)
# Compare groups using Relative Risk
rr_results <- margot_compare_groups(group_full, group_rels,
type = "RR",
label_mapping = label_mapping)
print(rr_results$results)
print(rr_results$interpretations)
} # }