rtqc_flat.RdPerform a flat line test. For more information see U.S. Integrated Ocean Observing System, 2015. Manual for Real-Time Quality Control of In-situ Temperature and Salinity Data Version 2.0: A Guide to Quality Control and Quality Assurance of In-situ Temperature and Salinity Observations. 56 pp. DOI: 10.7289/V5V40SD4.
rtqc_flat(x, rep.threshold, tol)
| x | A vector of values. |
|---|---|
| rep.threshold | A length-2 integer vector identifying reasonable counts of repeated values before a data point is considered suspect or indicates sensor failure. Typically specific to location and/or climate and based on expert judgment. |
| tol | Numerical tolerance to consider adjacent observations as repeated values. |
An ordered factor of test flags of same length as x.
fake.data = c(rnorm(10, 10, 2), rep(10.0, 3), rnorm(10, 10, 2), rep(7.0, 8)) # flag data as "suspect" when 4 observations in a row differ by # less than 0.01, and as "fail" when 6 observations in a row # differ by less than 0.01. rtqc_flat(fake.data, c(4, 6), 0.01)#> [1] <NA> <NA> <NA> <NA> pass pass pass pass pass #> [10] pass pass pass pass pass pass pass pass pass #> [19] pass pass pass pass pass pass pass pass suspect #> [28] suspect fail fail fail #> Levels: pass < not evaluated < suspect < fail# as above, but 3 repeated observations signals "suspect" while # 9 observations signals "fail". rtqc_flat(fake.data, c(3, 9), 0.01)#> [1] <NA> <NA> <NA> pass pass pass pass pass pass #> [10] pass pass pass suspect pass pass pass pass pass #> [19] pass pass pass pass pass pass pass suspect suspect #> [28] suspect suspect suspect suspect #> Levels: pass < not evaluated < suspect < fail