dr_correctOne: One-point drift correction

In shaughnessyar/driftR: Drift Correcting Water Quality Data

One-point drift correction

Description

A wrapper around dplyr::mutate() that creates a corrected value for each observation of the specified variable based on one data point.

Usage

dr_correctOne(.data, sourceVar, cleanVar, calVal, calStd, factorVar)

Arguments

.data	A tbl
sourceVar	Name of variable to correct
cleanVar	New variable name for corrected data
calVal	A numeric value; the value that the instrument was actually reading for the parameter
calStd	A numeric value; the value that the instrument should have been reading for that standard; i.e. the standard value
factorVar	Name of variable generated using dr_factor

Details

This function takes the raw data from the water-quality instrument, utilizes the values generated from dr_factor and returns data that accounts for drift over time. This is done via a one-point calibration standard, which it typical for specific conductivity, dissolved oxygen, and turbidity.

Value

An object of the same class as .data with the new corrected variable added to the other data in .data.

See Also

dr_factor 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),
   corrFac = c(0.0000000, 0.2003995, 0.4007989, 0.6005326, 0.8002663, 1.0000000),
   stringsAsFactors = FALSE
 )

dr_correctOne(testData, sourceVar = SpCond, cleanVar = SpCond_Corr,
    calVal = 1.05, calStd = 1, factorVar = corrFac)

shaughnessyar/driftR documentation built on July 25, 2022, 8:32 a.m.