Convert a sensor to a state

This function creates a new state from an existing logical (TRUE/FALSE) sensor and assigns this new state to selected existing sensors.

mc_states_from_sensor(
  data,
  source_sensor,
  tag,
  to_sensor,
  value = NA,
  inverse = FALSE
)

Arguments

data

myClim object see myClim-package

source_sensor

A logical sensor to be converted to states.

tag

A tag for the new states, e.g., "snow".

to_sensor

A vector of sensor names to which the new states should be attributed.

value

The value of the new states (default is NA)

inverse

A logical value. If FALSE, states are created for periods when source_sensor is TRUE (default is FALSE).

Value

Returns a myClim object in the same format as the input, with added states.

Details

The function is applicable only for logical (TRUE/FALSE) sensors. It allows you to convert such sensors into a state, represented as a tag. For example, you might calculate the estimation of snow cover using mc_calc_snow (TRUE/FALSE) and then want to remove temperature records when the logger was covered by snow. In this case, you can convert the snow sensor to a state, and then replace the values with NA for that state using mc_states_replace. In opposite case when you wish to keep e.g. only the moisture records when sensor was covered by snow, use inverse = TRUE.

Examples

data <- mc_calc_snow(mc_data_example_agg, "TMS_T2", output_sensor="snow")
data <- mc_states_from_sensor(data, source_sensor="snow", tag="snow", to_sensor="TMS_T2")