identify_lags: Identify time gaps in the data collection period

Description Usage Arguments Value Examples

View source: R/identify_lags.R

Description

Identify time gaps in the data collection period

Usage

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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

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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 June 17, 2021, 6:23 p.m.