Invalidate consecutive suspect values.

Source: R/utils-QC.R

Invalidates values within a timeseries that appear "sticky". Some temporary monitoring data has stretches of consecutive values, sometimes well outside the range of reasonable. This QC function identifies these "sticky" stretches and returns the original timeseries data with "sticky" stretches replaced with NA.

QC_invalidateConsecutiveSuspectValues(
  x = NULL,
  suspectValues = c(0:10 * 1000, NA),
  consecutiveCount = 2
)

Arguments

x

Timeseries data.

suspectValues

Vector of numeric values considered suspect.

consecutiveCount

How many suspectValues must appear in a row before they are invalidated.

Value

Returns x with some values potentially replaced with NA.