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Table 3 Least-squares fit of a Pareto function to the distribution of small effects on fitness

From: Phenotypic effect of mutations in evolving populations of RNA molecules

  Pareto[k, a] % of mutations
μ = 0.001, B Optimized k = 0.0202 ± 0.0003 88.1
  a = 0.848 ± 0.014 R2 = 0.998
μ = 0.004, B Optimized k = 0.0210 ± 0.0010 88.6
  a = 0.812 ± 0.043 R2 = 0.981
μ = 0.001, B Adapting k = 0.0205 ± 0.0006 94.7
  a = 1.065 ± 0.048 R2 = 0.988
μ = 0.004, B Adapting k = 0.0210 ± 0.0011 94.6
  a = 0.960 ± 0.065 R2 = 0.971
μ = 0.001, D Optimized k = 0.0212 ± 0.0010 62.0
  a = 0.393 ± 0.015 R2 = 0.987
μ = 0.004, D Optimized k = 0.0233 ± 0.0016 70.2
  a = 0.446 ± 0.027 R2 = 0.967
μ = 0.001, D Adapting k = 0.0216 ± 0.0011 71.0
  a = 0.475 ± 0.020 R2 = 0.983
μ = 0.004, D Adapting k = 0.198 ± 0.0015 80.1
  a = 0.586 ± 0.036 R2 = 0.967
  1. The Pareto probability distribution function fits the numerically obtained distributions of small effects in all situations studied. Here we show the parameters yielded by the least-squares fit, the R-squared value, and the fraction (in percent) of mutations which affect fitness up to 22% (small effect).