Skip to contents

Plot stream metabolism input data

Source: R/plot_metab_data.R
plot_metab_data.Rd

Creates a time-series plot of the selected input variables, chosen from dissolved oxygen, dissolved oxygen saturation, water depth, water temperature, and photosynthetically active radiation. The input must use the column names returned by common streamMetabolizer workflows.

Usage

plot_metab_data(
  data,
  cols = c("DO.obs", "DO.sat", "depth", "temp.water", "light")
)

Arguments

data

A data frame or tibble with a solar.time column and the measurement columns named in cols. The measurement columns must be numeric.

cols

Character vector of measurement columns to plot. Any subset of "DO.obs", "DO.sat", "depth", "temp.water", and "light". Defaults to all five. The dissolved oxygen saturation percentage panel is shown when both "DO.obs" and "DO.sat" are selected.

Value

A ggplot object. The dissolved oxygen saturation percentage is calculated as 100 * DO.obs / DO.sat; values where DO.sat is zero are shown as missing.

Examples

hours <- 0:47
data <- tibble::tibble(
  solar.time = as.POSIXct("2024-06-01", tz = "UTC") + hours * 3600,
  DO.obs = 8 + 1.5 * sin((hours - 10) / 24 * 2 * pi),
  DO.sat = 9 - 0.2 * sin((hours - 9) / 24 * 2 * pi),
  depth = 0.4,
  temp.water = 18 + 2 * sin((hours - 9) / 24 * 2 * pi),
  light = pmax(0, sin((hours - 6) / 12 * pi)) * 1500
)
plot_metab_data(data)

plot_metab_data(data, cols = c("DO.obs", "temp.water"))