get_metrics: Wrapper function to simplify workflow

In lmullany/iddquantiles: Package aids in estimation of IDD model output

Description

Function will call other package functions to simplify the workflow of creating all aggregations for a scenario

Usage

get_metrics(
  config,
  srcdir,
  scenario,
  ifr_level,
  pattern_to_search,
  file_num,
  dest_dir,
  anchor_date = "2020-01-01",
  include_county = F,
  geoid_save_path = NULL
)

Arguments

config	for this aggregation
srcdir	a path to model output
scenario	a scenario name (character string)
ifr_level	a character string that indicates the ifr level (subset of parquet files)
file_num	number of source file on which to perform the aggregation (1000 for full set)
dest_dir	a path to save the aggregated files
include_county	a boolean (default is FALSE) indicating whether county level aggregation should be done
geoid_save_path	a string path where temp csvs should be stored if include_county is TRUE
anchor_data	a string data in form "YYYY-MM-DD" that indicates the first day of the model output (this defaults to "2020-01-01")

Value

Returns a datatable of county level aggregated information

Examples

config <- get_configuration(geoid_table)
get_metrics(config, "modeloutput/", "scenarioX", "med", 1000, "my_save_path/", "2020-01-01", include_county=F)
get_metrics(config, "modeloutput/", "scenarioX", "med", 1000, "my_save_path/", "2020-01-01", include_county=T, "tempfolder/")

lmullany/iddquantiles documentation built on June 21, 2020, 7:28 p.m.