dr_replace: Replacing problematic observations from the monitoring period
In driftR: Drift Correcting Water Quality Data

Description Usage Arguments Details Value Examples

dr_replace() includes two approaches for identifying problematic observations for specific measurements that should be recoded as missing values (NA).

1 2	dr_replace(.data, sourceVar, cleanVar = NULL, overwrite = FALSE, dateVar = NULL, timeVar = NULL, from = NULL, to = NULL, tz = NULL, exp)

`.data`	A tbl
`sourceVar`	Name of variable to replace missing values in
`cleanVar`	New variable name for cleaned data
`overwrite`	A logical scalar. Should the current variable be overwritten instead of creating a new variable?
`dateVar`	Name of variable containing date data
`timeVar`	Name of variable containing time data
`from`	Beginning date and (optionally) time to remove observations
`to`	End date and (optionally) time to remove observations
`tz`	String name of timezone, defaults to system's timezone
`exp`	Unquoted expression

During monitoring, a sensor malfunction may impact only a single element of a given reading. Removing the entire observation may therefore be imprudent. dr_replace() provides two methods for identifying these values and declaring them as missing. Values can be identified by specifying one or two timepoints in the data where problematic measurements begin, end, or fall between. Values can also be identified based on a problematic sensor value or range of values using an expression.

An object of the same class as .data with specified observations recoded as missing.

testData <- data.frame(
   Date = c("9/18/2015", "9/18/2015", "9/18/2015", "9/18/2015", "9/19/2015", "9/21/2015"),
   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_replace(testData, sourceVar = Temp, dateVar = Date, timeVar = Time,
     from = "2015-09-19 12:30:51", to = "2015-09-21 12:35:51")
 dr_replace(testData, sourceVar = Temp, dateVar = Date, timeVar = Time,
     from = "2015-09-19", to = "2015-09-21")
 dr_replace(testData, sourceVar = Temp, dateVar = Date, timeVar = Time, from = "2015-09-19")
 dr_replace(testData, sourceVar = Temp, dateVar = Date, timeVar = Time, to = "2015-09-19")
 dr_replace(testData, sourceVar = Temp, cleanVar = temp2, dateVar = Date, timeVar = Time,
     to = "09/19/2015 12:35:51")
 dr_replace(testData, sourceVar = Temp, overwrite = TRUE, exp = Temp > 14.75)