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Table 3 P-values and effect sizes for each dataset from starting tree bias analysis

From: Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Dataset

Partitioning method

p-value

effect size

Anderson_2013

Greedy algorithm

1

0

Anderson_2013

lnL rates k-means

0.03

−0.604

Anderson_2013

TIGER rates k-means

1

0

Cognato_2001

Greedy algorithm

1

0

Cognato_2001

lnL rates k-means

0.006

−0.424

Cognato_2001

TIGER rates k-means

0.202

−0.152

Grande_2013

Greedy algorithm

1

0

Grande_2013

lnL rates k-means

0.047

−0.225

Grande_2013

TIGER rates k-means

1

0

Kang_2013a

Greedy algorithm

1

0

Kang_2013a

lnL rates k-means

0.391

−0.105

Kang_2013a

TIGER rates k-means

1

0.14

Kawahara_2013

Greedy algorithm

0.397

−0.095

Kawahara_2013

lnL rates k-means

0.008

−0.348

Kawahara_2013

TIGER rates k-means

0.828

0.051

Leavitt_2013

Greedy algorithm

1

0

Leavitt_2013

lnL rates k-means

1

0

Leavitt_2013

TIGER rates k-means

1

0

McCormack_2013a

Greedy algorithm

0.409

−0.116

McCormack_2013a

lnL rates k-means

0.52

−0.048

McCormack_2013a

TIGER rates k-means

0.158

−0.084

Oaks_2011

Greedy algorithm

1

0.094

Oaks_2011

lnL rates k-means

1

0.019

Oaks_2011

TIGER rates k-means

1

0

Sharanowski_2011

Greedy algorithm

1

0

Sharanowski_2011

lnL rates k-means

0.056

−0.304

Sharanowski_2011

TIGER rates k-means

0.069

−0.222