Skip to main content

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