combine_qc: Combine Quality Checking Results
In grahamstewart12/tidyflux:

Description Usage Arguments Details Value

Combine quality checking results depending whether they have a fixed or cumulative effect or any combination of these effects. It is also checked how should NAs be interpreted.

1	combine_qc(x, qc_names, additive = NULL, na_as = NULL)

`x`	A data frame with column names.
`qc_names`	A vector of names of data frame columns to combine.
`additive`	A vector of logical values (`TRUE` or `FALSE`) for the `qc_names` subset of `x` that determines if the flags should be treated as additive (`additive = TRUE`) or with fixed effect (`additive = FALSE`). If only one value is provided, all columns are considered to be of the same type. If `NULL` (default), values are determined for each of specified `qc_names` from their attribute `additive`.
`na_as`	A vector of numeric or `NA` values for the `qc_names` subset of `x` that determines how should be the missing flags interpreted. If only one value is provided, all columns are treated the same way. If `NULL` (default), values are determined for each of specified `qc_names` from their attribute `na_as`.

The quality checking results must be provided as a data frame with columns containing quality flags resulting from individual tests/filters. For all flags over all rows, the maximum and cumulative sum is taken for columns with fixed and additive effect, respectively.

Typical values of argument na.as are NA, 0 or 2. NA value is only formal and does not suggest any change in interpretation. Value 0 is used in the case that the NA value of the quality test/filter is an expected result and means that the half-hour was not checked by or has a good quality according to the given test/filter (e.g. despike). Value 2 would be used only if the user wants to explicitly specify that NA flag value should not be used for further analyses.

A vector with attributes varnames and units is produced. varnames value is set by name_out argument and units value is set to default "-".