est_moe_derive: Group ACS data and calculate derived-MOEs

In dpowerstp/acsprocess: Process tidycensus downloaded ACS data

Group ACS data and calculate derived-MOEs

Description

Groups tidy-census ACS dataframe by set of group columns, calculates aggregated estimates, and derives margin of error for aggregated estimates, per ACS instructions.

Usage

est_moe_derive(
  df,
  group_cols,
  est_col = "estimate",
  moe_col = "moe",
  name_col = paste(group_cols, collapse = "_")
)

Arguments

df	A tidy-census ACS dataframe.
group_cols	Names of columns to group the dataframe by, formatted as a character vector.
est_col	Name of estimate column, typically "estimate", formatted as a character string.
moe_col	Name of margin of error column, typically "moe", formatted as a character string.
name_col	Name of new, aggregated moe column, formatted as character string.

Value

A dataframe with estimates aggregated across group columns and a derived margin of error.

dpowerstp/acsprocess documentation built on Sept. 4, 2022, 10:18 a.m.