Classify Water Temperature Data

A wrapper on classify_time_series_data() with the arguments set for water temperature data.

Usage

classify_water_temp_data(
  data,
  questionable_min = 0,
  questionable_max = 30,
  erroneous_min = -0.5,
  erroneous_max = 40,
  questionable_rate = 2,
  erroneous_rate = 5,
  questionable_buffer = 1,
  erroneous_buffer = 1,
  gap_range = 5,
  date_time = "temperature_date_time",
  value = "water_temperature"
)

Arguments

data

A data frame.

questionable_min

A numeric value indicating the lower bound of the questionable range of temperature values.

questionable_max

A numeric value indicating the upper bound of the questionable range of temperature values.

erroneous_min

A numeric value indicating the lower bound of the erroneous range of temperature values.

erroneous_max

A numeric value indicating the upper bound of the erroneous range of temperature values.

questionable_rate

A numeric value indicating the rate of change (temperature per hour) of temperature values that is considered questionable.

erroneous_rate

A numeric value indicating the rate of change (temperature per hour) of temperature values that is considered erroneous.

questionable_buffer

A numeric value indicating the buffer in hours for questionable values.

erroneous_buffer

A numeric value indicating the number of hours buffer for erroneous values.

gap_range

A numeric value indicating the number of hours between two non reasonable values that will be coded as questionable or erroneous.

date_time

A string indicating the column name of the POSIXct vector.

value

A string indicating the column name of the value vector.

Value

A data frame

Examples

data <- data.frame(
  temperature_date_time =
    as.POSIXct(c(
      "2021-05-07 08:00:00", "2021-05-07 09:00:00",
      "2021-05-07 10:00:00", "2021-05-07 11:00:00", "2021-05-07 12:00:00",
      "2021-05-07 13:00:00"
    )),
  water_temperature = c(4.124, 4.078, 4.102, 4.189, 4.243, 6.578)
)

classified_data <- classify_water_temp_data(data)