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Create a data frame consisting of the input data for matsindf_apply()

Source: R/matsindf_apply.R
build_matsindf_apply_data_frame.Rd

This is an internal helper function that takes the types list and creates a data frame from which calculations can proceed.

Usage

build_matsindf_apply_data_frame(
  .dat = NULL,
  FUN,
  ...,
  types = matsindf_apply_types(.dat, FUN = FUN, ... = ...)
)

Arguments

.dat

The value of the .dat argument to matsindf_apply(), as a list or a data frame.

FUN

The function supplied to matsindf_apply().

...

The ... argument supplied to matsindf_apply().

types

The types for matsindf_apply(). Supply if already calculated externally. Default is types = matsindf_apply_types(.dat, FUN = FUN, ... = ...).

Value

A data frame (actually, a tibble) with columns from dots, .dat, and the default values to FUN, according to precedence rules for matsindf_apply().

Details

This function enforces the precedence rules for matsindf_apply(), namely that variables found in ... take priority over variables found in .dat, which take priority over variables found in the default values of FUN.