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Estimate annual means for chlorophyll and secchi data

Usage

anlz_avedat(epcdata, partialyr = FALSE)

Arguments

epcdata

data.frame formatted from read_importwq

partialyr

logical indicating if incomplete annual data for the most recent year are approximated by five year monthly averages for each parameter

Value

Mean estimates for chlorophyll and secchi

Examples

# view average estimates
anlz_avedat(epcdata)
#> $ann
#> # A tibble: 596 × 4
#>       yr bay_segment var         val
#>    <dbl> <chr>       <chr>     <dbl>
#>  1  1974 HB          mean_chla 22.4 
#>  2  1974 LTB         mean_chla  4.24
#>  3  1974 MTB         mean_chla  9.66
#>  4  1974 OTB         mean_chla 10.2 
#>  5  1975 HB          mean_chla 27.9 
#>  6  1975 LTB         mean_chla  4.93
#>  7  1975 MTB         mean_chla 11.4 
#>  8  1975 OTB         mean_chla 13.2 
#>  9  1976 HB          mean_chla 29.5 
#> 10  1976 LTB         mean_chla  5.08
#> # … with 586 more rows
#> 
#> $mos
#> # A tibble: 4,604 × 5
#>    bay_segment    yr    mo var         val
#>    <chr>       <dbl> <dbl> <chr>     <dbl>
#>  1 HB           1974     1 mean_chla 36.2 
#>  2 LTB          1974     1 mean_chla  1.75
#>  3 MTB          1974     1 mean_chla 11.5 
#>  4 OTB          1974     1 mean_chla  4.4 
#>  5 HB           1974     2 mean_chla 42.4 
#>  6 LTB          1974     2 mean_chla  5.5 
#>  7 MTB          1974     2 mean_chla  9.35
#>  8 OTB          1974     2 mean_chla  4.07
#>  9 HB           1974     3 mean_chla 14.9 
#> 10 LTB          1974     3 mean_chla  5.88
#> # … with 4,594 more rows
#>