driftR (version 1.1.0)

dr_correctTwo: Two-point drift correction

Description

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

Usage

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

Arguments

.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

Value

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

Details

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.

See Also

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

Examples

# NOT RUN {
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)

# }