Fetch Chronic Absenteeism Data for Multiple Years

Convenience wrapper that calls fetch_absence() for each year and binds the results. Skips years that fail (e.g., COVID gap 2020-2021) with a warning.

Usage

fetch_absence_multi(
  end_years,
  level = "school",
  type = "chronic",
  tidy = TRUE,
  use_cache = TRUE
)

Arguments

end_years

Integer vector of school years (e.g., 2017:2024).

level

One of "school" or "district".

type

One of "chronic", "by_grade", "days_absent", or "essa".

tidy

Logical; if TRUE (default), normalizes subgroup names.

use_cache

Logical; if TRUE (default), caches each year.

Value

A data frame with all years bound together.

Examples

if (FALSE) { # \dontrun{
# Get all available years of chronic absenteeism
ca_all <- fetch_absence_multi(2017:2024)

# COVID gap: 2020-2021 were not reported, will be skipped with a warning
ca_all <- fetch_absence_multi(2017:2024)

# Multi-year trend by district
library(dplyr)
ca_all %>%
  filter(subgroup == "total", is_state) %>%
  select(end_year, chronically_absent_rate)
} # }