rtqc_flat: Flat Line Test
In SuisunMarshBranch/wqptools: Outlier Detection Working Group Toolbox

Description Usage Arguments Value Examples

Perform 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.

1	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)
# as above, but 3 repeated observations signals "suspect" while
# 9 observations signals "fail".
rtqc_flat(fake.data, c(3, 9), 0.01)