dr_factor: Creating correction factors

In driftR: Drift Correcting Water Quality Data

Description

A wrapper around dplyr::mutate() that creates a correction factor for each observation.

Usage

dr_factor(.data, corrFactor, dateVar, timeVar, tz = NULL,
    format = c("MDY", "YMD"), keepDateTime = TRUE)

Arguments

.data	A tbl
corrFactor	New variable name for correction factor data
dateVar	Name of variable containing date data
timeVar	Name of variable containing time data
tz	String name of timezone, defaults to system's timezone
format	Either "MDY" or "YMD" for dateVar - deprecated as of driftR v1.1
keepDateTime	A logical statement to keep an intermediate dateTime variable

Details

Correction factors are calculated based on the time of the observation and the total amount of time that the instrument had been deployed. They are used in the equations for both the one-point and two-point drift corrections.

Value

An object of the same class as .data with the new correction factor variable added to the other data in .data as well as a dateTime variable if keepDateTime = TRUE.

See Also

dr_correctOne for correction factor creation, dr_correctTwo for the two-point drift correction

Examples

testData <- data.frame(
   Date = c("9/18/2015", "9/18/2015", "9/18/2015", "9/18/2015", "9/18/2015", "9/18/2015"),
   Time = c("12:10:49", "12:15:50", "12:20:51", "12:25:51", "12:30:51", "12:35:51"),
   Temp = c(14.76, 14.64, 14.57, 14.51, 14.50, 14.63),
   SpCond = c(0.754, 0.750, 0.750, 0.749, 0.749, 0.749),
   stringsAsFactors = FALSE
 )

dr_factor(testData, corrFactor = corrFac, dateVar = Date, timeVar = Time, keepDateTime = TRUE)

driftR documentation built on May 1, 2019, 8:43 p.m.