Summary table of daily data

Usage

daily_gwl_summary(
  gw_level_dv,
  gwl_data,
  parameter_cd = NA,
  date_col = NA,
  value_col = NA,
  approved_col = NA,
  stat_cd = NA
)

Arguments

gw_level_dv: data frame, daily groundwater level data. Often obtained from readNWISdv. Use NULL for no daily data.
gwl_data: data frame returned from readNWISgwl, or data frame with a date, value, and approval columns. Using the convention: lev_dt (representing date), lev_age_cd (representing approval code), and lev_va or sl_lev_va (representing value) will allow defaults to work. Use NULL for no discrete data.
parameter_cd: If data in gw_level_dv comes from NWIS, the parameter_cd can be used to define the value_col. If the data doesn't come directly from NWIS services, this can be set to NA,and this argument will be ignored.
date_col: the name of the date column. The default is NA, in which case, the code will try to get the column name automatically based on NWIS naming conventions. If both gw_level_dv and gwl_data data frames require custom column names, the first value of this input defines the date column for gw_level_dv, and the second defines gwl_data.
value_col: the name of the value column. The default is NA, in which case, the code will try to get the column name automatically based on NWIS naming conventions. If both gw_level_dv and gwl_data data frames require custom column names, the first value of this input defines the value column for gw_level_dv, and the second defines gwl_data.
approved_col: the name of the column to get provisional/approved status. The default is NA, in which case, the code will try to get the column name automatically based on NWIS naming conventions. If both gw_level_dv and gwl_data data frames require custom column names, the first value of this input defines the approval column for gw_level_dv, and the second defines gwl_data.#' @param stat_cd If data in gw_level_dv comes from NWIS, the stat_cd can be used to help define the value_col.
stat_cd: If data in gw_level_dv comes from NWIS, the stat_cd can be used to help define the value_col.

Value

a summary table giving the period of record, completeness and percentile values

Examples


# site <- "263819081585801"
p_code_dv <- "62610"
statCd <- "00001"
# gw_level_dv <- dataRetrieval::readNWISdv(site, p_code_dv, statCd = statCd)
gw_level_dv <- L2701_example_data$Daily
daily_gwl_summary(gw_level_dv,
                  gwl_data = NULL,
                  parameter_cd = p_code_dv)
#>   begin_date   end_date  days percent_complete lowest_level      p5    p10
#> 1 1978-10-01 2021-02-28 14807               96       -51.08 -38.418 -33.88
#>      p25    p50    p75     p90   p95 highest_level
#> 1 -28.34 -21.84 -16.84 -12.118 -9.15         -2.81

gwl_data <- L2701_example_data$Discrete
daily_gwl_summary(gw_level_dv,
                  gwl_data = gwl_data,
                  parameter_cd = p_code_dv)
#>   begin_date   end_date  days percent_complete lowest_level     p5 p10    p25
#> 1 1978-10-01 2021-03-01 15261               99        -51.3 -38.49 -34 -28.49
#>      p50    p75    p90    p95 highest_level
#> 1 -21.96 -16.96 -12.25 -9.211         -2.81