Estimate annual medians
anlz_medpep.Rd
Estimate annual medians by segment for chlorophyll, secchi, and total nitrogen data
Arguments
- dat
data.frame
formatted fromread_pepwq
Examples
# view median estimates
anlz_medpep(rawdat)
#> $ann
#> # A tibble: 1,260 × 5
#> bay_segment yr val est var
#> <fct> <dbl> <dbl> <chr> <chr>
#> 1 1a 2024 6.29 lwr.ci chla
#> 2 1a 2024 8.39 medv chla
#> 3 1a 2024 11.9 upr.ci chla
#> 4 1a 2023 6.6 lwr.ci chla
#> 5 1a 2023 8.53 medv chla
#> 6 1a 2023 10.8 upr.ci chla
#> 7 1a 2022 4.16 lwr.ci chla
#> 8 1a 2022 7.53 medv chla
#> 9 1a 2022 9.97 upr.ci chla
#> 10 1a 2021 8.4 lwr.ci chla
#> # ℹ 1,250 more rows
#>
#> $mos
#> # A tibble: 5,040 × 6
#> bay_segment yr mo val est var
#> <fct> <dbl> <dbl> <dbl> <chr> <chr>
#> 1 1a 2024 12 8.82 medv chla
#> 2 1a 2024 11 30.5 medv chla
#> 3 1a 2024 10 15.0 medv chla
#> 4 1a 2024 9 24.5 medv chla
#> 5 1a 2024 8 24.9 medv chla
#> 6 1a 2024 7 11.8 medv chla
#> 7 1a 2024 6 11.6 medv chla
#> 8 1a 2024 5 4.79 medv chla
#> 9 1a 2024 4 3.50 medv chla
#> 10 1a 2024 3 2.24 medv chla
#> # ℹ 5,030 more rows
#>