dataquieR (version 2.0.1)

pipeline_recursive_result: Convert a pipeline result data frame to named encapsulated lists

Description

This function converts a data frame to a recursive list structure based on columns selected for grouping

Usage

pipeline_recursive_result(
  call_plan_with_results,
  result_groups = setdiff(colnames(call_plan_with_results), c(NA, "results",
    "resp_vars"))
)

Value

a list with:

• first argument's values in result_groups, each containing second's argument's values as a similar list recursively

Arguments

call_plan_with_results

data.frame result from pipeline_vectorized

result_groups

character arguments to group by

Details

The data frame columns for the arguments of a certain row/computation from the calling plan translate to levels in the encapsulated list hierarchy. The order of the levels can be specified in the result_groups argument.

Examples

if (FALSE) {
call_plan_with_results <- structure(list(
  resp_vars =
    c(
      "SBP_0", "DBP_0", "VO2_CAPCAT_0",
      "BSG_0"
    ), group_vars = c(
    "USR_BP_0", "USR_BP_0", "USR_VO2_0",
    "USR_BP_0"
  ), co_vars = list("SEX_0", "SEX_0", "SEX_0", "SEX_0")
),
class = "data.frame", row.names = c(
  NA,
  -4L
)
)
call_plan_with_results[["results"]] <-
  list(NA, 2, "Hello", ggplot2::ggplot())
result_groups <-
  colnames(call_plan_with_results)[2:(ncol(call_plan_with_results) - 1)]
pipeline_recursive_result(call_plan_with_results, result_groups)
pipeline_recursive_result(call_plan_with_results, rev(result_groups))
}