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发表于 2009-11-29 14:32:14
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Table S5. Average Membership Coefficients across the Samples from Each Province, Their Correlation
with Latitude and Also the Inter-cluster Correlation between FRAPPE and STRUCTURE Outputs from
the Same K Value
(A) Groups (Grp) 1, 2 and 3 were distinguished based on their similarity in membership coefficients. Taking
STRUCTURE K=3, it can be observed that group 1 has the largest membership coefficients in the range of
0.50-0.58, group 2 range 0.34-0.45 and group 3 comprising only of Guangdong has 0.2339. Group 2 is very
obviously an intermediate region with Sichuan and Hubei more similar to group 1 and Hunan more similar to
Guangdong. CHB and Shanghai were excluded in this table because of the highly varied individual membership
coefficients. The average membership coefficients of the entire Guangdong province are the averages of the
coefficients of the three main dialect groups of Guangdong – Hakka, Cantonese and Teochew. The average
absolute Pearson’s correlation between each membership coefficient and the median latitude is about 0.94. (B)
Table S4B shows the Pearson’s correlation between the average membership coefficients of the clusters defined
by FRAPPE and STRUCTURE when compared across the same K value. The nomenclature corresponds to the
column in Table S4A and is read STRUCTURE (S) and FRAPPE (F), followed by the K value, a dot and then
the cluster. So the second cluster of STRUCTURE with K=2, will be denoted “S2.2”.
[ 本帖最后由 namlow 于 2009-11-29 14:37 编辑 ] |
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