argo_use_adjusted: Prefer adjusted values
In ArgoCanada/argodata: Locate, Download, and Read Argo Ocean Float Data

Description Usage Arguments Value Examples

Many Argo tables have _adjusted columns that contain a more reliable value. However, in many cases, these values are blank or not present. Use argo_use_adjusted() to replace NA values in cols with the value in the paired _adjusted column. You can use this with argo_qc_censor_if_not() to set values in cols to NA based on the paired _qc column prior to preferring the adjusted value.

argo_use_adjusted(
  tbl,
  cols,
  adjusted_cols = argo_adjusted_cols(tbl, {     {         cols     } })
)

argo_adjusted_cols(tbl, cols)

`tbl`	tbl A data frame containing `_adjusted` or `_ADJUSTED` columns.
`cols`	Columns in `tbl`, specified using `dplyr::select()` syntax.
`adjusted_cols`	A paired vector of columns to `cols` containing the adjusted value to prefer over the value in `cols`.

A tibble::tibble() with

library(dplyr, warn.conflicts = FALSE)

with_argo_example_cache({
  argo_prof_levels("dac/csio/2902746/profiles/BR2902746_001.nc") %>%
    argo_use_adjusted(doxy)
})