#' chart_annual_emission_factors_by
#'
#' @usage chart_annual_emission_factors_by(data, ...)
#' @describeIn chart_annual_by Chart annual emission factors.
#'
#' @export
chart_annual_emission_factors_by <- function (
data = NULL,
...,
mapping = aes(),
base_year = NULL,
qty_var = "ef_qty",
chart_y_scale = NULL,
chart_y_labels = NULL,
geom = NULL,
facet_rows = NULL,
facet_cols = NULL,
facet_scales = "free_y",
year_limits = NULL,
year_breaks = NULL,
year_expand = NULL,
flag_years = NULL,
flag_labels = "{format_qty(ef_qty)} {chart_y_unit}",
flag_unique = NULL,
title = NULL,
subtitle = NULL,
caption = NULL,
verbose = getOption("verbose")
) {
msg <- function (...) if(isTRUE(verbose)) {
message("[chart_annual_emission_factors_by] ", ...)
}
#
# If `year` isn't present, try reshaping the data.
#
if (!is.null(data) && ("year" %not_in% names(data))) {
qty_var <- "ef_qty"
data <- gather_years(data, qty_var, verbose = verbose)
}
#
# Let `chart_y_scale` be a scale specific to emission factors.
#
if (is.null(data)) {
chart_y_unit <- "lb/tput"
chart_y_scale <- NULL
} else {
chart_y_unit <-
data %>%
pull_distinct(
ef_unit) %>%
ensurer::ensure(
length(.) == 1)
chart_y_scale <-
scale_y_quantity(
chart_y_unit,
labels = chart_y_labels,
expand = ggplot2::expansion(mult = c(0, 0.3)))
}
#
# Automatically facet by pollutant.
#
chart_object <-
data %>%
chart_annual_quantities_by(
pol_abbr,
...,
mapping = mapping,
geom = geom,
facet_rows = facet_rows,
facet_cols = facet_cols,
facet_scales = facet_scales,
qty_var = qty_var,
chart_y_scale = chart_y_scale,
chart_y_unit = chart_y_unit,
year_limits = year_limits,
year_breaks = year_breaks,
year_expand = year_expand,
flag_years = flag_years,
flag_labels = flag_labels,
flag_unique = flag_unique,
base_year = base_year,
title = title,
subtitle = subtitle,
caption = caption,
verbose = verbose)
chart_object <-
facet_by_pollutant(
chart_object,
verbose = verbose)
return(chart_object)
}
#' chart_annual_emissions
#'
#' @noRd
#'
#' @export
chart_annual_emission_factors <-
chart_annual_emission_factors_by
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