Map interpolated data back to dataset — apply

Uses interpolated values to attempt to fill in missing data being aware of maximum gap lengths to fill and duplicates.

Usage

apply_interp(data_fill, data_interp, y_var, max_length, date_range)

Arguments

data_fill: data.frame based on proj$data with missing datetime values added from prep_interp().
data_interp: data.frame based on proj$data with duplicates condensed to a single value and missing values interpolated from run_interp().
y_var: Variable being interpolated.
max_length: The maximum length in hours to fill via interpolation.
date_range: The date range in which to fill data, used to only fill data within plotted range.

Value

data_fill with missing values interpolated.

Examples

interp_dfs <- prep_interp(example_sondeproj)
filled_yvar <- run_interp(interp_dfs$interp, "fDOM_QSU", "linear")
data_filled <- apply_interp(interp_dfs$fill, filled_yvar,
                            "fDOM_QSU", 8, range(interp_dfs$fill$Date))