identify_lags: Identify time gaps in the data collection period

In maelle/rtimicropem: Supports the Analysis of RTI MicroPEM Output Files

Identify time gaps in the data collection period

Description

Identify time gaps in the data collection period

Usage

identify_lags(micropem, column = "rh_corrected_nephelometer")

Arguments

micropem	a R6 micropem object
column	by default "rh_corrected_nephelometer", but could be "nephelometer", the column in which to look for gaps (character).

Value

A data.frame with all the rows of measures where the nephelometer measures is missing with a time to previous missing values smaller than the nephelometer log.

Examples

micropem_na <- convert_output(system.file("extdata", "file_with_na.csv",
                                          package = "rtimicropem"))
micropem_na$plot()
identify_lags(micropem_na)

maelle/rtimicropem documentation built on May 16, 2022, 9:34 p.m.