dr_correctTwo: Two-point drift correction
In driftR: Drift Correcting Water Quality Data

Description Usage Arguments Details Value See Also Examples

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

1 2	dr_correctTwo(.data, sourceVar, cleanVar, calValLow, calStdLow, calValHigh, calStdHigh, factorVar)

`.data`	A tbl
`sourceVar`	Name of variable to correct
`cleanVar`	New variable name for corrected data
`calValLow`	A numeric value; the number that the instrument was actually reading for the low standard
`calStdLow`	A numeric value; the number that the instrument should have been reading for that standard; i.e. the low standard value
`calValHigh`	A numeric value; the number that the instrument was actually reading for the high standard
`calStdHigh`	A numeric value; the number that the instrument should have been reading for that standard; i.e. the high standard value
`factorVar`	Name of variable generated using `dr_factor`

This command 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 two-point calibration standard, which it typical for pH and chloride.

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

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

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),
   pH = c(7.18, 7.14, 7.14, 7.13, 7.13, 7.13),
   corrFac = c(0.0000000, 0.2003995, 0.4007989, 0.6005326, 0.8002663, 1.0000000),
   stringsAsFactors = FALSE
 )

 dr_correctTwo(testData, sourceVar = pH, cleanVar = pH_Corr, calValLow = 7.01, calStdLow = 7,
     calValHigh = 11.8, calStdHigh =  10, factorVar = corrFac)