code: def get_results(cls):
      cls.res_m = [549.3846153846154, 557.5, 722.3571428571429]
      # results from R WRS2
      # > t1w = t1way(y ~ g, df3, tr=1/13)
      cls.res_oneway = Holder(
          test=8.81531710400927,
          df1=2,
          df2=19.8903710685394,
          p_value=0.00181464966984701,
          effsize=0.647137153056774,
      )
  
      # > yt = yuen(y ~ g, df3[1:29, ], tr=1/13)  # WRS2
      cls.res_2s = Holder(
          test=0.161970203096559,
          conf_int=np.array([-116.437383793431, 99.9568643129114]),
          p_value=0.873436269777141,
          df=15.3931262881751,
          diff=-8.24025974025983,
          effsize=0.0573842557922749,
      )
  
      # from library onewaytests
      # > bft = bf.test(y ~ g, df3)
      cls.res_bfm = Holder(
          statistic=7.10900606421182,
          parameter=np.array([2, 31.4207256105052]),
          p_value=0.00283841965791224,
          alpha=0.05,
          method="Brown-Forsythe Test",
      )
  
      # > oww = oneway.test(y ~ g, df3, var.equal = FALSE)
      cls.res_wa = Holder(
          statistic=8.02355212103924,
          parameter=np.array([2, 24.272320628139]),
          p_value=0.00211423625518082,
          method=(
              "One-way analysis of means "
              "(not assuming equal variances)"
          ),
      )
  
      # > ow = oneway.test(y ~ g, df3, var.equal = TRUE)
      cls.res_fa = Holder(
          statistic=7.47403193349076,
          parameter=np.array([2, 40]),
          p_value=0.00174643304119871,
          method="One-way analysis of means",
      )
  
imports: import numpy
  from numpy.testing import assert_equal, assert_allclose, assert_raises
  import pytest
  from statsmodels.stats.robust_compare import TrimmedMean, trim_mean, trimboth
  import statsmodels.stats.oneway
  from statsmodels.tools.testing import Holder
  from scipy.stats import trim1
label_desc: Use image node_id 2 for calling the TestTrimmedRAnova obj's underlying member method code with example usage: obj.get_results(cls) without return types