#' Create reference table of standards
#'
#' Create a reference table with expected values for the standards
#'
#' @param id The names of the standards that are used in the simulations.
#' @param col The colours that these standards will have in plots.
#' @param D47_std The accepted \eqn{\Delta_{47}}{Δ[47]} values of the standards.
#' @param slope The input ETF slope.
#' @param intercept The input ETF intercept.
#' @param aff The acid fractionation factor.
#' @return A [tibble][tibble::tibble-package] of standard names (id), colours
#' (col), \eqn{\Delta_{47}}{Δ[47]} accepted value (D47),
#' \eqn{\Delta_{47}}{Δ47} with acid fractionation subtracted, i.e. projected
#' to 70°C (D47.noacid), the expected raw value based on the linear
#' regression (rawcat) and the temperature in °C (temp).
#' @importFrom tibble tibble
#' @importFrom dplyr mutate
#' @seealso make_smp_info kslope kintercept kaff
#' @export
make_std_table <- function(id = c(paste0("ETH-", 1:4), "UU1"),
col = c("orange", "purple", "#00B600", "blue", "#FFCD00"),
## col = viridis::viridis(5),
# ETH accepted values from Bernasconi 2018
# possible UU-standard IAEA-C2 ~ 0.74?
# ideally as cold as possible, say 4 degrees?
D47_std = c(0.258, 0.256, 0.691, 0.507, tempcal(4, ignorecnf = TRUE)),
slope = kslope, intercept = kintercept,
aff = kaff) {
D47 <- D47.noacid <- rawcat <- temp <- NULL
tibble(id = id, col = col, D47 = D47_std) %>%
mutate(D47.noacid = D47 - aff) %>% # subtract acid fractionation
mutate(rawcat = D47.noacid * slope + intercept) %>% # measured values
mutate(temp = revcal(D47, ignorecnf = TRUE)) # temperatures
}
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