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Validate presence of required columns

Source: R/io_clean.R
validate_wq.Rd

Ensures a minimal set of columns exists in the dataset; otherwise throws an error listing the missing names.

Usage

validate_wq(
  df,
  required = c("ph", "turbidez", "od", "dbo", "nt_total", "p_total", "tds",
    "temperatura", "coliformes"),
  nd_policy = c("ld2", "ld", "zero", "na")
)

Arguments

df

Input data.frame/tibble to validate.

required

Character vector of required column names to check for.

nd_policy

Policy for censored values (ND/<LD/<LOQ) when required columns are not numeric. One of:

  • "ld2" (default): use half the detection limit

  • "ld" : use the detection limit

  • "zero" : replace with 0

  • "na" : replace with NA

Value

The input df if valid; otherwise, an error is thrown.

See also

read_wq(), conama_check()

Examples

df_ex <- data.frame(
  ph = 7, turbidez = 2, od = 7, dbo = 3,
  nt_total = 0.8, p_total = 0.05, tds = 150,
  temperatura = 24, coliformes = 200
)
validate_wq(df_ex)
#>   ph turbidez od dbo nt_total p_total tds temperatura coliformes
#> 1  7        2  7   3      0.8    0.05 150          24        200