Remove outliers — remove_outliers • clumpedr

Remove outliers

remove_outliers(
  .data,
  ...,
  init_low = 8000,
  init_high = 40000,
  init_diff = 1200,
  param49_off = 1,
  internal_sd = 0.15,
  n_min = 5,
  n_id1 = 5,
  nsd_off = 4,
  D47 = D47_raw,
  session = Preparation,
  id1 = `Identifier 1`,
  quiet = NULL
)

Arguments

.data: A tibble, resulting from collapse_cycles().
...: These dots are for future extensions and must be empty.
init_low: Minimum initial intensity threshold for mass 44.
init_high: Maximum initial intensity threshold for mass 44.
init_diff: Maximum initial difference in mass 44 threshold between standard and sample gas.
param49_off: Where param_49 > this value is considered an outlier.
internal_sd: The internal standard deviation outlier cutoff.
n_min: Minimum number of aliquots within session to calculate threshold.
n_id1: Minimum number of aliquots within session to calculate threshold within group.
nsd_off: The number of standard deviations away from the median Preparation of the standards.
D47: The column with \(\Delta_47\) values. Defaults to D47_raw_mean.
session: Column name that defines correction session.
id1: Column name of the sample/standard identifier.
quiet: If TRUE, print info messages. If NULL (default) listens to options(clumpedr.quiet)

Details

This function removes outliers based on several criteria. 1) The initial intensity of both sample and reference gas is above 8 V. 2) The difference in intensity between sample and reference gas is less than 1.2 V. 3) The sample or reference raw \(\Delta_47\) value is less than 4 SD away from the preparation mean.