Generate tidyverse Code for Grouping and Aggregating Data

Constructs syntactically valid dplyr::group_by() and dplyr::summarise() pipelines with identifier escaping, customizable summary metrics, and reproducible grouping behavior via .groups = 'drop'.

Usage

sv_code_group_summarize(
  df_name = NULL,
  group_cols,
  summary_exprs,
  pipe = FALSE
)

Arguments

df_name

Name of the data frame (optional; can be NULL for intermediate piped pipeline segments).

group_cols

Character vector of grouping column name(s).

summary_exprs

Named character vector or named list of aggregation expressions (e.g., c(total = "dplyr::n()", avg = "mean(val, na.rm = TRUE)")).

pipe

Logical; if TRUE, uses pipe syntax df %>% dplyr::group_by(...) %>% dplyr::summarise(...). Defaults to FALSE.

Value

A character string of R code.