Clean water quality data from common issues — clean_wq • SWATprepR

This function cleans water quality data by addressing common issues.

Usage

clean_wq(df, zero_to_min = 0.5)

Arguments

df: A dataframe with water quality data, including columns "Station", "DATE", "Variables", "Values", "Source".
zero_to_min: (optional) A numeric coefficient to replace zeros by the minimum variable value multiplied by zero_to_min. Default is zero_to_min = 0.5 .

Value

A cleaned dataframe.

See also

load_template

Examples

if (FALSE) {
  # Load calibration data from an Excel file
  temp_path <- system.file("extdata", "calibration_data.xlsx", package = "SWATprepR")
  cal_data <- load_template(temp_path)
  
  # Clean water quality data
  cal_data$data <- clean_wq(cal_data$data)
}