jared
81fd1a5279
Owner ruling R1. Combining Census Total across governments counts intergovernmental transfers twice, and these results land in Tableau where a warning would be invisible -- so this is a hard error whose message names the fix and the reason.
54 lines
1.8 KiB
R
54 lines
1.8 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/peers.R
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\name{cog_peer_compare}
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\alias{cog_peer_compare}
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\title{Compare a target government against a peer set}
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\usage{
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cog_peer_compare(
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target_govid,
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peers,
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category,
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years,
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per_capita = TRUE,
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adjust_to_year = NULL,
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expenditure_concept = c("direct", "total")
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)
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}
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\arguments{
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\item{target_govid}{Character scalar.}
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\item{peers}{A tibble from [cog_find_peers()] or a character vector of
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`canonical_govid`s.}
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\item{category}{Character scalar or vector.}
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\item{years}{Integer vector.}
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\item{per_capita}{Default `TRUE` — peer compare usually normalizes by
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population.}
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\item{adjust_to_year}{Integer base year for CPI-U conversion or `NULL`.}
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\item{expenditure_concept}{`"direct"` (default) or `"total"`. Currently only
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`"direct"` is accepted; the `"total"` option exists in [cog_spending()] for
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single-government queries but cannot be used here because combining Total
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across peer sets counts intergovernmental transfers twice.}
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}
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\value{
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Tibble matching [cog_spending()]'s columns, plus a `role`
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column taking values `"target"`, `"peer"`, `"summary_p25"`,
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`"summary_p50"`, or `"summary_p75"`, `target_rank` (target's rank
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among target+peers at `max(years)`, NA for other rows), and
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`cohort_year` (the year used to build the peer cohort, read from
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`attr(peers, "cohort_year")`; `NA` when `peers` was a bare character
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vector). Provenance reports `verb = "cog_peer_compare"`, `peer_count`,
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`cohort_year`, and `cohort_govids`.
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}
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\description{
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Pulls spending for the target plus a peer set (either a
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[cog_find_peers()] result or a character vector of `canonical_govid`) and
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appends peer-distribution summary rows (`summary_p25`, `summary_p50`,
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`summary_p75`) so the result can be faceted by `role` in a single ggplot
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call.
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}
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