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Correlate observations

Source: R/nif_pivot.R
correlate_obs.Rd

[Experimental]

Usage

correlate_obs(
  obj,
  indep_analyte,
  dep_analyte,
  window = 10/60,
  time_field = "TIME",
  duplicate_function = mean
)

Arguments

obj

A nif object.

indep_analyte

The independent analyte as character.

dep_analyte

The dependent analyte(s) as character.

window

The allowed time window between the independent and dependent analyte observations in hours.

time_field

Time variable to use for the correlation of observations, can be 'DTC' or 'TIME' (default).

duplicate_function

A function to resolve duplicate values for observations of the dependent analyte. Defaults to mean.

Value

A data frame.

Details

Identify observations of the dependent variables that are timely correlated to the independent variable, i.e., are within a specified time window to the observations of the independent variable. If multiple dependent observations of a given analyte fall into the window, they are summarized using the 'duplicate_function'. The output data frame is a wide table based on the independent observations, with the (summarized) dependent observations and the respective summarized observation times for the dependent observations as additional columns.