CSLSscenarios: CSLS MODFLOW Scenario Analysis

Description Usage Arguments Details Value

Given a data frame with columns for "lake", "level", "month", and "year" as well as a data frame with additional information about the average dock length ("length_ft") and minimum desired depth at the end of the dock ("min_depth_ft") for each "lake", calculates the number of years in a time series where summer levels (July-Sept) dropped below the desired minimum depth, assuming docks were installed in June with the minimum desired depth at the end of the dock.

calculate_docks(
  df,
  info = data.frame(lake = c("Pleasant", "Long"), length_ft = c(39, 23), min_depth_ft =
    c(2, 1))
)

`df`	a data frame with a "lake" and a "level" column
`info`	a data frame with the average dock length (length_ft) for lakes and minimum desired depth (min_depth_ft) at the end of the dock.

Assumes the average horizontal lake profile for lakes is available within CSLSdata::bathymetry.

docks, a data frame with the following columns:

`lake`	the lake name, e.g. "Pleasant" or "Long"
`metric`	name of the hydrologic metric, in this case, "dock"
`variable`	"num_no_move" (number of years dock does not need to be moved after a successful install), "percent_no_move" (percent of years dock does not need to be moved after a successful install), "num_install" (number of years a dock is successfully installed), "percent_install" (percent of years a dock is successfully installed), "percent_good_year" (percent of years a dock is both successfully installed and does not need to be moved)
`value`	value of the metric