mg_function_longest_complete_ts: mg_function_longest_complete_ts

In mghydro/LSHydroMG: What the Package Does (One Line, Title Case)

Description

Takes hydraulic head time series dataframe and extracts for each dataset the longest complete time series

Usage

mg_function_longest_complete_ts(
  df,
  date_column_name,
  value_column_name,
  id_column_name,
  n_allowed_missing_values_days,
  minimum_timespan_ts_years
)

Arguments

df	dataframe which contains the value and date column
date_column_name	column name of the date column (should be format date)
value_column_name	column name of the value column (numeric format)
id_column_name	column name ofidentifier column (e.g. name of Grundwasssermessstelle) (character format)
n_allowed_missing_values_days	timespan in number of days for which missing values are allowed
minimum_timespan_ts_years	number of years which the ts should have at least (float)

Value

subset of initial dataframe which satisfies the conditions minimum_timespan_ts_years and n_allowed_missing_values_days

Examples

mg_function_longest_complete_ts(df = wasserstand_projekt,
                               date_column_name = "datum",
                               value_column_name = "mess_wert",
                               id_column_name = datenquelle,
                               n_allowed_missing_values_days = 60,
                               minimum_timespan_ts_years = 2.5)

mghydro/LSHydroMG documentation built on Jan. 28, 2022, 3:31 p.m.