#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
#
# Remove the Central Value (mean) from a Regressor Step ------------------------
#
#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
StepTidalCooper <- R6Class(
classname = "step_tidal_cooper",
inherit = Step,
public = list(
column_values = c(),
frequency = NULL,
storativity = NULL,
transmissivity = NULL,
thickness_aquifer = NULL,
height_water = NULL,
radius_well = NULL,
radius_casing = NULL,
gravity = 9.80665,
# step specific variables
initialize = function(frequency,
storativity,
transmissivity,
thickness_aquifer,
height_water,
radius_well,
radius_casing = radius_well,
gravity = 9.80665,
role = "predictor",
...) {
# get function parameters to pass to parent
frequency <- deparse(substitute(frequency))
env_list <- get_function_arguments()
env_list$step_name <- "step_tidal_cooper"
env_list$type <- "add"
super$initialize(
terms = as.symbol(frequency),
env_list,
...
)
self$storativity = storativity
self$transmissivity = transmissivity
self$thickness_aquifer = thickness_aquifer
self$height_water = height_water
self$radius_well = radius_well
self$radius_casing = radius_casing
self$gravity = gravity
invisible(self)
},
# subtract the central value from a column
bake = function(new_data) {
cooper_1965 <- list(
tidal_cooper_1965(
self$frequency,
self$storativity,
self$transmissivity,
self$thickness_aquifer,
self$height_water,
self$radius_well,
self$radius_casing,
self$gravity))
self$new_columns <- self$prefix
self$result <- setNames(cooper_1965, self$new_columns)
self$result
}
)
)
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