Apply QC flags to all parameters in continuous monitoring data
Source:R/utilASRflagall.R
utilASRflagall.RdA wrapper around utilASRflag that iterates over every
parameter in contdat the results as a named list.
Arguments
- contdat
data frame returned by
readASRcont- dqodat
data frame returned by
readASRdqo
Value
A named list of data frames, one per matched parameter, with names equal to the parameter column names.
Details
Parameters are defined as every column in contdat other than
DateTime. If a parameter has no matching entry in
dqodat$Parameter all four of its flags are returned as
"pass".
Each element of the returned list is the data frame produced by
utilASRflag for that parameter: columns DateTime, the
parameter, gross_flag, spike_flag, roc_flag, and
flat_flag.
Examples
contpth <- system.file('extdata/ExampleCont1.xlsx', package = 'AquaSensR')
dqopth <- system.file('extdata/ExampleDQO.xlsx', package = 'AquaSensR')
contdat <- readASRcont(contpth, runchk = FALSE)
dqodat <- readASRdqo(dqopth, runchk = FALSE)
utilASRflagall(contdat, dqodat)
#> $Water_Temp_C
#> # A tibble: 927 × 6
#> DateTime Water_Temp_C gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 24.2 pass pass pass pass
#> 2 2024-08-14 13:56:43 24.2 pass pass pass pass
#> 3 2024-08-14 13:56:53 24.2 pass pass pass pass
#> 4 2024-08-14 13:57:03 24.2 pass pass pass pass
#> 5 2024-08-14 13:57:13 24.2 pass pass pass pass
#> 6 2024-08-14 13:57:23 24.2 pass pass pass pass
#> 7 2024-08-14 13:57:33 24.2 pass pass pass pass
#> 8 2024-08-14 13:57:43 24.2 pass pass pass pass
#> 9 2024-08-14 13:57:53 24.2 pass pass pass pass
#> 10 2024-08-14 13:58:03 24.2 pass pass pass pass
#> # ℹ 917 more rows
#>
#> $DO_pctsat
#> # A tibble: 927 × 6
#> DateTime DO_pctsat gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 76.9 pass pass pass pass
#> 2 2024-08-14 13:56:43 76.7 pass pass pass pass
#> 3 2024-08-14 13:56:53 76.6 pass pass pass pass
#> 4 2024-08-14 13:57:03 76.5 pass pass pass pass
#> 5 2024-08-14 13:57:13 76.3 pass pass pass pass
#> 6 2024-08-14 13:57:23 76.3 pass pass pass pass
#> 7 2024-08-14 13:57:33 76.2 pass pass pass pass
#> 8 2024-08-14 13:57:43 76.1 pass pass pass pass
#> 9 2024-08-14 13:57:53 76.5 pass pass pass pass
#> 10 2024-08-14 13:58:03 77.6 pass pass pass pass
#> # ℹ 917 more rows
#>
#> $DO_mg_l
#> # A tibble: 927 × 6
#> DateTime DO_mg_l gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 6.44 pass pass pass pass
#> 2 2024-08-14 13:56:43 6.43 pass pass pass pass
#> 3 2024-08-14 13:56:53 6.42 pass pass pass pass
#> 4 2024-08-14 13:57:03 6.41 pass pass pass pass
#> 5 2024-08-14 13:57:13 6.4 pass pass pass pass
#> 6 2024-08-14 13:57:23 6.39 pass pass pass pass
#> 7 2024-08-14 13:57:33 6.39 pass pass pass pass
#> 8 2024-08-14 13:57:43 6.38 pass pass pass pass
#> 9 2024-08-14 13:57:53 6.41 pass pass pass pass
#> 10 2024-08-14 13:58:03 6.5 pass pass pass pass
#> # ℹ 917 more rows
#>
#> $Conductivity_uS_cm
#> # A tibble: 927 × 6
#> DateTime Conductivity_uS_cm gross_flag spike_flag roc_flag
#> <dttm> <dbl> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 410. pass pass pass
#> 2 2024-08-14 13:56:43 410. pass pass pass
#> 3 2024-08-14 13:56:53 410. pass pass pass
#> 4 2024-08-14 13:57:03 410. pass pass pass
#> 5 2024-08-14 13:57:13 409 pass pass pass
#> 6 2024-08-14 13:57:23 409. pass pass pass
#> 7 2024-08-14 13:57:33 409. pass pass pass
#> 8 2024-08-14 13:57:43 409. pass pass pass
#> 9 2024-08-14 13:57:53 404. pass pass pass
#> 10 2024-08-14 13:58:03 399. pass suspect pass
#> # ℹ 917 more rows
#> # ℹ 1 more variable: flat_flag <chr>
#>
#> $TDS_mg_l
#> # A tibble: 927 × 6
#> DateTime TDS_mg_l gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 266 pass pass pass pass
#> 2 2024-08-14 13:56:43 266 pass pass pass pass
#> 3 2024-08-14 13:56:53 266 pass pass pass pass
#> 4 2024-08-14 13:57:03 266 pass pass pass pass
#> 5 2024-08-14 13:57:13 266 pass pass pass pass
#> 6 2024-08-14 13:57:23 266 pass pass pass pass
#> 7 2024-08-14 13:57:33 266 pass pass pass pass
#> 8 2024-08-14 13:57:43 266 pass pass pass pass
#> 9 2024-08-14 13:57:53 262 pass pass pass pass
#> 10 2024-08-14 13:58:03 259 pass pass pass pass
#> # ℹ 917 more rows
#>
#> $Salinity_ppt
#> # A tibble: 927 × 6
#> DateTime Salinity_ppt gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 0.2 fail pass pass pass
#> 2 2024-08-14 13:56:43 0.2 fail pass pass pass
#> 3 2024-08-14 13:56:53 0.2 fail pass pass pass
#> 4 2024-08-14 13:57:03 0.2 fail pass pass pass
#> 5 2024-08-14 13:57:13 0.2 fail pass pass pass
#> 6 2024-08-14 13:57:23 0.2 fail pass pass pass
#> 7 2024-08-14 13:57:33 0.2 fail pass pass pass
#> 8 2024-08-14 13:57:43 0.2 fail pass pass pass
#> 9 2024-08-14 13:57:53 0.19 fail pass pass pass
#> 10 2024-08-14 13:58:03 0.19 fail pass pass pass
#> # ℹ 917 more rows
#>
#> $pH_SU
#> # A tibble: 927 × 6
#> DateTime pH_SU gross_flag spike_flag roc_flag flat_flag
#> <dttm> <dbl> <chr> <chr> <chr> <chr>
#> 1 2024-08-14 13:56:33 7.23 pass pass pass pass
#> 2 2024-08-14 13:56:43 7.2 pass pass pass pass
#> 3 2024-08-14 13:56:53 7.18 pass pass pass pass
#> 4 2024-08-14 13:57:03 7.16 pass pass pass pass
#> 5 2024-08-14 13:57:13 7.15 pass pass pass pass
#> 6 2024-08-14 13:57:23 7.15 pass pass pass pass
#> 7 2024-08-14 13:57:33 7.14 pass pass pass pass
#> 8 2024-08-14 13:57:43 7.13 pass pass pass pass
#> 9 2024-08-14 13:57:53 7.13 pass pass pass pass
#> 10 2024-08-14 13:58:03 7.13 pass pass pass pass
#> # ℹ 917 more rows
#>