Batch RCS Analysis — run_analysis

Runs multiple RCS analyses for different predictors and outcomes

Usage

run_analysis_rcs(
  data,
  predictors,
  outcomes,
  outcomes_map = NULL,
  predictors_map = NULL,
  covariates = NULL,
  output_dir = NULL,
  knots = 4,
  save_format = c("none", "tiff", "svg", "pdf", "all")
)

Arguments

data: Data frame containing all variables
predictors: Character vector of predictor variable names
outcomes: Character vector of outcome variable names
outcomes_map: Optional named mapping from outcome variable names to display labels, e.g. c("A_B" = "A B").
predictors_map: Optional named mapping from predictor variable names to display labels.
covariates: Covariates for adjusted models (optional)
output_dir: Output directory (optional)
knots: Number of knots for RCS (default 4)
save_format: Save format: "none", "tiff", "svg", "pdf", "all" (default "none")

Value

Data frame with predictor, outcome, model_type, p-values, and optional saved file paths

Examples

if (FALSE) { # \dontrun{
results <- run_analysis_rcs(
  data = mtcars,
  predictors = c("mpg", "wt"),
  outcomes = c("vs", "am"),
  covariates = c("cyl", "gear"),
  output_dir = tempdir(),
  save_format = "none"
)
} # }