R/impairment.R

Defines functions mean_agg impairment_do daily_average_do

daily_average_do <- function(x) {

  final.df <- do.df %>%
    filter(wqs.type %in% "average",
           wqs.time %in% "daily") %>%
    group_by(SEG_ID, date, clean_class, CHEMICAL_NAME, wqs.narrative,
             wqs.type,
             wqs.violation.direction, wqs.numeric, units) %>%
    summarize(daily_average = mean(RESULT_NUMERIC, na.rm = TRUE)) %>%
    ungroup() %>%
    mutate(impaired = less_than_greater_than(x = .,
                                             direction_col = wqs.violation.direction,
                                             standard_col = wqs.numeric,
                                             value_col = daily_average))
}

impairment_do <- function(x, value_col) {

  do.df <- x %>%
    filter(CHEMICAL_NAME %in% "Dissolved Oxygen")



  min_thresh.df <- do.df %>%
    filter(wqs.type %in% "threshold",
           wqs.time %in% "single") %>%
    select(SEG_ID, date, clean_class, CHEMICAL_NAME, wqs.narrative,
           wqs.type,
           wqs.violation.direction, wqs.numeric, units, RESULT_NUMERIC) %>%
    mutate(impaired = less_than_greater_than(x = .,
                                             direction_col = wqs.violation.direction,
                                             standard_col = wqs.numeric,
                                             value_col = RESULT_NUMERIC)) %>%
    select(-RESULT_NUMERIC)

  bound.df <- dplyr::bind_rows(daily_avg.df, min_thresh.df) %>%
    group_by(SEG_ID, date, clean_class, CHEMICAL_NAME, wqs.narrative,
             wqs.violation.direction, units) %>%
    summarize(impaired = any(impaired == TRUE))
}

mean_agg <- function(x, wqs_type, wqs_time) {


}
BWAM/stayCALM documentation built on May 21, 2020, 3:24 p.m.