This function cleans outliers from a dataframe based on some standard deviations.
Arguments
- df
A dataframe with columns "Station", "DATE", "Variables", "Values", "Source". The "Variables" column should contain the names of the variables.
- times_sd
(optional) A numeric value representing the multiplication factor for standard deviation. Values outside mean - sd X times_sd and mean + sd X times_sd are identified as outliers. Default
times_sd = 3.
Value
A list of two dataframes. newdf contains the dataframe cleaned from outliers. dropped contains the data that was removed from newdf.
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 outliers from the data
lst <- clean_outliers(cal_data$data)
# Display data to be removed
print(head(lst$dropped))
# Update the original data with cleaned data
cal_data$data <- lst$newdf
}