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#' Plot Brazilian SELIC rate (annualized, base 252)
#'
#' Generates a time series plot of the SELIC interest rate using data from `get_selic()`.
#' The SELIC rate ("Sistema Especial de Liquidação e de Custódia") represents the
#' effective annualized rate (252-business-day basis) for overnight interbank loans
#' and is the main instrument of Brazil’s monetary policy.
#'
#' @param data Tibble returned by `get_selic_rate()`
#' @param language Language for titles and labels: "pt" (Portuguese) or "eng" (English).
#'
#' @return A `ggplot2` object showing the SELIC rate over time.
#'
#' @examplesIf interactive()
#' # Example 1: English version
#' selic_data <- get_selic_rate(2020, 2024)
#' selic_plot <- plot_selic_rate(selic_data)
#' print(selic_plot)
#'
#' # Example 2: Portuguese version
#' dados_selic <- get_selic_rate(2020, 2024, language = "pt")
#' grafico_selic <- plot_selic_rate(dados_selic, language = "pt")
#' print(grafico_selic)
#'
#' @export
plot_selic_rate <- function(data,
language = "eng") {
# === PARAMETER VALIDATION ===
# Validate 'data' parameter
if (!is.data.frame(data)) {
stop("'data' must be a data frame or tibble", call. = FALSE)
}
required_cols <- c("date", "value")
missing_cols <- setdiff(required_cols, names(data))
if (length(missing_cols) > 0) {
stop(
paste0(
"'data' must contain columns: ",
paste(required_cols, collapse = ", ")
),
call. = FALSE
)
}
if (!is.character(language) || length(language) != 1) {
stop("'language' must be a single character string ('eng' or 'pt')", call. = FALSE)
}
language <- tolower(language)
if (!language %in% c("eng", "pt")) {
stop("'language' must be either 'eng' (English) or 'pt' (Portuguese)", call. = FALSE)
}
# === FUNCTION BODY ===
# Declare global variables for dplyr operations
value <- selic_rate <- data_referencia <- taxa_selic <- NULL
# === TEXT DEFINITIONS ===
if (language == "eng") {
title <- "Brazil | SELIC Interest Rate (Effective Annual, 252-day basis)"
y_label <- "SELIC Rate (% p.a.)"
caption <- "Source: Central Bank of Brazil (SGS 1178)"
} else {
title <- "Brasil | Taxa SELIC (Efetiva Anualizada, base 252)"
y_label <- "Taxa SELIC (% a.a.)"
caption <- "Fonte: Banco Central do Brasil (SGS 1178)"
}
# === PLOT ===
.plot_time_series(
data = data,
x_var = "date",
y_var = "value",
plot_type = "step",
title = title,
y_label = y_label,
caption = caption,
y_suffix = "%",
color = "#1f78b4",
show_points = TRUE
)
}
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