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# A helping function for interpolating an exdf that contains inputs intended to
# be passed to calculate_c3_assimilation, calculate_c3_variable_j, or
# calculate_c4_assimilation. This function is only intended for internal use, so
# just perform minimal checks here.
interpolate_assimilation_inputs <- function(
exdf_obj,
assim_input_column_names,
c_column_name,
c_step
)
{
# Make sure key columns are present, but don't check units here
check_required_variables(
exdf_obj$main_data,
c(assim_input_column_names, c_column_name)
)
# Get C sequence to use
c_seq <- seq(
min(exdf_obj[, c_column_name]),
max(exdf_obj[, c_column_name]),
by = c_step
)
# Restrict to key columns
assim_input <- exdf_obj[, assim_input_column_names, TRUE]
# Change the number of rows
assim_input$main_data[seq_along(c_seq), ] <- NA
# Interpolate each column
for (i in seq_along(assim_input_column_names)) {
cn <- assim_input_column_names[i]
assim_input[, cn] <- if (all(is.na(exdf_obj[, cn]))) {
NA
} else {
stats::approx(exdf_obj[, c_column_name], exdf_obj[, cn], c_seq)[['y']]
}
}
# Return
assim_input
}
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