miller/docs6/docs/statistics-examples.md.in

# Statistics examples

## Computing interquartile ranges

For one or more specified field names, simply compute p25 and p75, then write the IQR as the difference of p75 and p25:

GENMD_RUN_COMMAND
mlr --oxtab stats1 -f x -a p25,p75 \
    then put '$x_iqr = $x_p75 - $x_p25' \
    data/medium 
GENMD_EOF

For wildcarded field names, first compute p25 and p75, then loop over field names with `p25` in them:

GENMD_RUN_COMMAND
mlr --oxtab stats1 --fr '[i-z]' -a p25,p75 \
    then put 'for (k,v in $*) {
      if (k =~ "(.*)_p25") {
        $["\1_iqr"] = $["\1_p75"] - $["\1_p25"]
      }
    }' \
    data/medium 
GENMD_EOF

## Computing weighted means

This might be more elegantly implemented as an option within the `stats1` verb. Meanwhile, it's expressible within the DSL:

GENMD_RUN_COMMAND
mlr --from data/medium put -q '
  # Using the y field for weighting in this example
  weight = $y;

  # Using the a field for weighted aggregation in this example
  @sumwx[$a] += weight * $i;
  @sumw[$a] += weight;

  @sumx[$a] += $i;
  @sumn[$a] += 1;

  end {
    map wmean = {};
    map mean  = {};
    for (a in @sumwx) {
      wmean[a] = @sumwx[a] / @sumw[a]
    }
    for (a in @sumx) {
      mean[a] = @sumx[a] / @sumn[a]
    }
    #emit wmean, "a";
    #emit mean, "a";
    emit (wmean, mean), "a";
  }'
GENMD_EOF