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Author's title

Author

*Unverified author*

R Software Module

rwasp_agglomerativehierarchicalclustering.wasp

Title produced by software

Agglomerative Nesting (Hierarchical Clustering)

Date of computation

Fri, 29 Jan 2010 11:20:29 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jan/29/t12647897624d8ox71cjez5pk9.htm/, Retrieved Thu, 02 May 2024 03:36:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72735, Retrieved Thu, 02 May 2024 03:36:49 +0000

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Original text written by user:

Results for males exactly match actual ethnicity.

IsPrivate?

No (this computation is public)

User-defined keywords

see earlier for female speakers

Estimated Impact

205

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Agglomerative Nesting (Hierarchical Clustering)] [Subjective Reacti...] [2010-01-29 18:20:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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4	3	4	3	1	1	2	3	3	3	3	2	3	3	4	4	2	3	2	3	3	3	3	3	3	3	3	4	3	3	4	4	3	3	2	2	2	4	2	4	2	2	3	3	4	2	3	4	3	3	2	3	3	3	3	3	4	4	3	3	3	4	2	1	3	2	2	2	3	3	4	2	1	4	3	3	3	2	3	3	3	3	3	4	3	3	3	3	4	3	4	2.852173913	3	3	3	2	3	3	3	3	3	3	2	4	3	1	3	1	1	2	4	3	3	2	2	2	1	1	1	1	2	1	2	3	2	2	2	3	1	3	1	1	2	2	2	2	2	2	2	3	2	3	3	1	1	2	1	2	4	2	2	4	2	2	2	2	3	3	3	2	4	1	1	2	2	2	2	2	4	2	2	3	2	1	2	2	3	1	2	3	1	2	3	2	2	2	2	3	3	2	2	2	2	3	1	3	1	2	2	2	1	1	2	2	1	2	1	2	1	1	2	3	2	3	3	3	2	3	1	2	2	1	1	1	2	3	1	1	1	2	3	3	4	3	3	2	1	2	3	4	2	3	2	1	2	3	2	4	3	3	2	2	2	3	3	2	3	4	2	3	3	3	2	3	4	2.417391304	3	3	2	1	3	3	1	1	3	2	2	2	1	3	2	2	3	2	4	2	2	3	2	3	3	1	2	4	2	3	3	2	3	2	2	3	3	1	2	3	3	3	2	2	3	3	3	2	2	3	1	2	1	3	3	2	3	2	2	1	2	3	2	3	2	3	2	3	2	2	2	1	3	1	1	3	3	2	3	2	3	2	1	1	2	1	3	3	3	1	1	2	2	2	2	2	2	2	2	2	2	3	2	2	1	1	1	4	3	1	1	2	3	2	2	2	3	1	4	4	2	3	3	3	2	2	3	2	3	2	3	3	2	2	1	2	2	2	3	1	2	4	1	1	2	2	2	2	2	2	3	2	1	3	1	2	2	2	2	3	1	1	2	2	2	2	3	2	3	1	1	3	2	3	1	1	3	1	3	3	2	2	2	2	2	3	2	1	1	1	4	3	1	2	1	2	2	3	4	3	3	4	1	2	2	2	4	3	2	1	1	2	3	3	2	3	2	3	2	2	3	3	3	3	3	3	4	3	2	3	3	2	3	3	3	2	2	1	2	4	2	3	1	1	1	2	1	2	3	2	2	3	3	3	3	4	3	3	1	4	2	3	3	2	2	2	1	3	3	2	2	3	3	1	2	1	3	1	3	2	3	2	4	3	1	3	3	2	3	2	3	3	2	3	2	2	1	1	2	3	2	2	2	1	3	2	2	2	3	1	3	3	3	3	3	3	2	4	1	4	2	4	3	3	3	3	3	3	4	3	2	2	3	3	3	2	4	3	2	4	3	4	2	2	3	3	3	4	3	3	4	3	3	3	4	4	2	4	1	3	2	3	4	3	3	3	3	3	3	4	4	3	3	4	1	4	4	1	3	2	2	3	2	3	4	3	2	4	3	3	3	3	4	4	4	3	3	1	3	3	3	2	3	3	4	3	3	3	3	1	2	3	3	3	3	2	3	1	3	3	3	1	2	2	2	3	2	3	1	2
3	3	3	4	2	4	2	3	2	3	3	4	3	3	4	3	2	2	2	3	3	3	3	1	4	1	2	4	4	3	4	4	4	3	1	3	1	3	2	3	1	3	2	2	4	4	4	3	3	3	3	3	3	3	3	3	4	3	2	1	1	4	2	1	3	2	3	2	1	3	3	1	2	3	3	4	2	1	1	1	3	3	2	4	3	4	4	3	4	3	2	4	3	4	4	3	1	3	3	2	1	3	2	1	2	1	2	2	1	2	1	2	1	2	1	2	1	2	1	1	3	2	3	3	2	2	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	4	3	2	2	2	1	1	1	2	4	2	4	1	3	1	4	2	3	2	4	1	3	4	2	2	2	2	3	2	2	2	1	1	3	4	4	1	2	3	3	2	2	3	4	2	2	3	2	2	2	1	2	4	2	4	3	2	3	1	1	1	1	2	1	3	2	2	2	1	1	2	4	2	2	2	3	2	2	3	2	1	3	3	3	3	2	3	3	2	4	2	3	3	2	2	1	2	3	1	3	3	2	1	2	2	1	4	3	2	2	3	2	2	2	2	3	2	3	3	2	2	3	2	3	3	1	2	3	4	2	1	2	2	3	1	1	1	1	3	2	2	2	2	3	2	2.217391304	2	1	2	2	3	1	4	2	1	3	2	2	2	2	3	4	1	2	3	2	3	2	3	2	2	2	3	2	3	1	4	2	3	3	2	2	3	2	3	1	3	2	3	3	1	2	2	1	2	2	1	3	2	2	2	1	2	3	3	2	2	2	2	3	1	4	2	3	4	1	2	2	2	3	3	2	2	2	2	2	2	2	2	3	3	2	4	3	2	2	2	2	1	4	2	4	2	2	1	4	1	3	2	2	2	3	1	2	2	3	3	2	2	1	2	2	3	3	1	3	2	3	1	2	3	2	2	2	2	3	2	1	2	2	1	3	1	2	2	2	3	2	2	3	2	2	1	4	1	1	3	3	2	2	1	3	3	4	2	1	3	2	3	2	2	2	1	1	4	3	3	2	2	1	3	3	3	3	3	2	4	1	3	2	1	2	2	2	4	2	3	2	3	2	3	2	3	2	2	2	1	3	2	3	3	2	3	3	4	2	3	1	2	3	4	1	1	2	2	2	2	2	4	3	3	1	2	2	2	1	3	3	3	3	3	2	2	1	2.243478261	2	2	2	2	1	1	1	3	3	1	2	3	2	4	2	2	2	1	3	1	2	3	4	3	2	3	3	2	2	3	3	4	3	2	1	2	2	1	1	2	2	2	2	1	3	3	1	2	1	2	2	2	2	1	3	3	3	3	3	3	3	3	2	3	3	4	3	3	3	2	2	1	2	3	2	3	3	2	2	1	3	3	3	3	3	3	4	3	4	3	3	4	3	4	2	4	2	3	4	4	2	3	3	3	3	3	4	3	3	4	4	3	2	2	1	4	3	2	2	2	3	3	2	3	3	1	2	3	3	4	3	1	2	1	3	3	2	4	3	3	3	4	3	3	2	3	3	3	3	4	1	3	2	3	1	4	1	1	2	3	2	2	1	2	1	3	2	3	2	3
3	3	2	3	4	3	3	3	3	3	3	2	2	3	4	3	3	3	2	3	3	3	3	3	3	3	3	3	3	3	2.886956522	3	3	3	4	4	4	2	4	4	4	3	3	3	3	3	3	4	2	3	2	3	3	3	3	2	3	4	3	2	2	4	2	2	3	3	1	2	1	3	4	2	3	1	3	2	3	2	3	3	3	3	3	3	2	3	4	4	3	2	2	3	3	3	3	3	2	3	4	3	2	4	2	4	3	1	3	3	2	4	3	4	3	2	2	4	1	2	3	1	1	2	2	2	2	2	2	2	3	2	2	4	2	2	2	2	2	2	1	4	2	2	3	3	2	2	2	2	1	2	1	3	1	2	1	3	1	2	3	1	3	1	1	1	3	2	2	2	2	2	3	3	2	1	2	2	4	1	2	2	3	2	4	3	4	2	1	3	2	3	2	3	2	3	1	2	2	2	2	2	3	2	1	1	2.069565217	3	2	2	2	2	2	2	3	2	1	2	2	2	2	1	2	1	2	3	1	1	2	2	2	2	3	2	3	3	1	2	2	3	2	1	1	3	2	2	3	3	3	3	3	2	2	2	2	2	2	1	3	4	3	2	3	3	3	2	3	3	2	2	2	1	3	1	3	1	2	2	2	1	2	2	3	2	3	2	2.114035088	2	2	2	1	3	2	3	1	4	1	2	3	2	1	2	2	2	3	1	2	1	2	2	2	1	2	3	3	2	2	3	2	1	1	3	2.114035088	2	2	2	2	1	3	3	1	2	4	1	2	2	2	1	2	1	3	3	2	1	2	2	1	2	2	1	2	2	4	3	2	2	2	4	4	3	2	2	3	1	2	3	2	2	2	3	2	2	3	4	2	3	2	3	2	2	3	4	2	2	3	3	4	4	2	4	2	3	4	1	1	4	3	4	2	2	1	2	2.582608696	3	2	3	3	2	3	2	1	1	3	2	2	4	4	3	3	2	2	4	2	3	3	3	2	4	3	2	2	3	3	3	2	2	3	2	1	3	3	3	2	3	2	1	4	2	2	2	2	3	2	4	2	3	2	2	3	3	2	3	4	3	3	2	2	3	1	2	2	3	3	2	2	2	2	3	2	3	2	2	3	3	2	2	3	3	3	1	3	3	3	2	2	3	1	2	4	3	2	2	1	1	1	2	4	2	3	3	2	1	1	3	2	2.122807018	2	2	1	2	2	2	2	3	2	3	1	4	2	2	3	2	1	2	1	2	3	2	2	1	2	1	3	2	2	3	2	1	2	3	1	2	2	2	2.122807018	2	2	2	2	1	2	2	1	2	3	1	1	2	2	1	2	1	3	4	2	4	2	2	2	2	1	2	3	3	1	2	3	2	3	3	4	3	3	3	3	3	4	1	3	2	2	3	3	3	3	3	2	3	2	3	3	3	3	3	2	3	4	4	2	3	3	2	4	4	3	4	3	3	3	4	3	2	3	3	3	3	2	1	3	3	3	3	1	4	2	2	3	3	1	2	2	3	3	3	2	1	3	3	3	2	4	3	3	3	3	2	1	3	4	3	2.773913043	1	2	3	3	2	3	4	2	2	2	3	2	4	3	4	3	3	3	2	3	4	2	3	3	3	3	4
3	3	1	2	2	3	3	1	3	3	2	2	2	3	3	3	2	3	2	3	2	3	2	1	2	1	3	2	3	3	3	2	4	3	2	3	3	1	3	2	2	3	2	2	3	2	3	2	2	3	3	3	3	3	3	3	3	2	2	4	1	4	3	2	3	3	2	2	1	3	4	1	2	3	2	3	3	2	3	1	2	3	2	3	3	3	1	3	1	2	1	3	2	3	2	3	1	3	3	2	3	2	3	2	2	1	3	3	2	3	2	2	2.434782609	3	3	2	2	2	3	4	2	2	2	3	2	2	2	2	3	2	2	2	2	2	2	2	2	3	3	4	2	4	3	3	3	2	2	3	1	2	3	2	2	4	2	3	3	2	3	3	2	2	1	3	2	2	2	2	2	2	2	2	2	3	3	2	4	1	2	3	3	2	3	3	3	2	1	3	2	3	3	1	2	1	1	4	3	2	3	2	2	2	4	2	4	3	3	2	2	3	4	2	4	2	4	2	1	3	2	3	3	1	2	2	1	2	3	2	4	2	3	3	3	3	1	1	2	3	3	1	3	3	2	1	3	2	2	3	2	2	2	2	2	3	3	2	2	2	3	2	3	2	2	2	4	3	2	2	3	3	2	1	2	3	3	2	2	1	2	2	2	2	3	2	1	2	2	2	1	2	2	3	1	4	3	3	3	3	3	2	2	2	3	1	2	1	2	3	2	2	2	2	3	2	2	3	1	3	1	4	1	2	2	2	3	2	2	2	1	3	2	2	3	2	2	1	2	1	3	1	3	4	2	1	1	1	1	2	2	2	4	3	3	2	2	1	1	3	2	3	2	2	2	2	3	2	2	3	2	2	2	3	2	3	3	3	2	3	3	4	1	2	3	3	2	1	2	3	2	2	2	2	4	2	3	3	3	2	2.434782609	4	3	3	3	2	4	3	3	3	1	1	2	3	2	2	2	2	2	2	1	4	2	3	3	3	2	3	1	3	2	2	3	3	2	2	4	2	3	3	3	3	2	2	3	2	3	2	2	4	2	3	3	2	3	1	1	3	2	1	2	3	2	2	4	2	4	3	2	1	2	4	3	2	1	2	2	2	2	3	2	4	3	3	2	2	2	3	2	1	2	3	3	2	3	2	2	1	3	3	2	3	2	4	1	1	3	3	3	2	2	1	2	1	1	3	2	2	1	2	2	3	3	2	2	2	1	4	3	2	3	3	2	3	2	2	3	1	2	2	2	2	2	1	1	1	2	2	1	3	2	3	1	3	1	2	2	2	2	2	1	3	1	3	2	1	3	2	2	4	2	1	3	2	2	3	2	1	1	2	1	2	3	3	1	1	2	2	3	3	1	3	3	2	2	2	3	4	3	2	2	3	2	3	2	3	2	2	3	2	3	3	3	4	4	3	3	4	3	1	3	1	3	2	3	4	2	2	2	3	2	3	3	3	3	3	3	3	3	2	4	4	1	4	3	2	3	2	2	2	3	3	4	1	2	3	3	2	3	3	4	1	3	3	3	2	2	3	1	2	1	2	2	2	3	3	3	3	1	3	3	3	2	3	3	1	2	3	3	3	2	3	2	3	1	2	3	3
3	2.805309735	3	2	3	2	3	3	3	3	2	1	2	2	3	4	3	4	2	3	3	4	4	4	2	4	3	3	3	2	2	2	1	3	4	3	4	2	3	4	3	4	4	4	3	1	2	3	3	2.805309735	3	3	2	3	2.805309735	2	2	1	3	4	3	4	4	4	4	3	4	4	3	3	4	3	3	2	3	1	3	4	4	2	2	3	3	2	1	2	3	1	1	2	1	3	3	2	1	3	3	3	4	4	2	3	3	4	4	3	4	2	3	3	3	3	1	2	2	2	2	2	2	4	2	2	2	1	3	2	2	3	2	2	1	2	2	2	2	2	2	2	1	2	2	2	3	2	1	3	1	2	4	2	1	2	1	4	1	1	2	1	2	1	2	4	1	1	2	2	2	2	4	2	2	3	2	3	2	1	2	1	2	1	2	1	1	1	2	2	1	2	2	4	2	4	2	1	1	4	3	2	2	2	2	2	2	3	3	2	3	2	1	3	3	2	1	2	1	2	1	2	2	1	1	1	1	3	2	2	3	2	4	2	3	3	3	3	2	2	2	3	3	1	1	3	2	2	3	2	2	3	2	2	2	2	2	3	2	4	3	3	3	3	1	2	2	2	2	3	2	3	4	2	1	4	2	2	3	3	3	3	3	3	3	2	3	2	1	2	3	3	2	2	2	1	2	4	4	3	3	2	3	3	3	3	4	2	2	3	2	3	2	3	2	2	3	2	3	2	2	3	2	2	2	1	2	2	2	1	3	3	2	3	4	4	2.417391304	3	2	1	2	1	3	3	3	2	2	3	1	3	1	1	2	2	3	1	3	2	2	4	2	3	2	2	2	3	3	1	2	2	2	3	2	2	2	2	2	3	3	2	3	3	3	3	3	2	3	2	1	1	2	1	2	2	2	1	3	2	1	3	2	2	1	2	3	2	2	2	2	3	3	3	1	1	1	2	2	1	1	2	3	2.147826087	1	2	2	3	3	1	2	2	2	3	2	3	2	2	2	1	3	3	2	3	3	3	2	2	2	2	2	2	1	1	1	2	2	4	2	1	1	2	1	3	3	2	4	2	3	2	2	3	2	1	1	3	3	1	1	2	2	1	1	1	2	3	3	3	2	3	3	4	4	3	3	4	3	2	2	2	2	2	4	3	2	3	3	2	3	4	3	3	3	3	1	1	3	1	2	2	4	3	1	3	2.460869565	3	1	1	2	4	3	4	4	4	4	3	4	3	2	2	4	4	3	2	2	3	2	3	2	4	2	1	3	2	1	2	2	1	2	1	2	1	3	1	1	3	4	3	3	3	2	3	2	1	3	3	3	3	4	3	2	3	1	2	1	2	2	3	1	1	3	4	3	4	3	3	3	2	3	4	3	4	3	2	2	3	3	3	3	3	3	3	3	3	3	3	3	3	2	3	4	3	3	2	2	4	3	4	3	3	3	1	1	4	3	2	2	3	3	3	2	2	1	1	2	4	2	4	2	4	4	2	4	4	2	3	4	3	3	3	3	1	3	3	4	2	3	3	3	2	1	3	3	2	1	2	2	4	3	1	3	3	4	3	3	3	2	3	3	4	3	3	3	2	3	3	2	3	3	3	3	3
3	3	1	2	3	3	3	2	2	3	3	3	3	3	3	3	3	3	2	4	4	4	4	3	3	4	3	3	3	2	4	3	3	3	4	3	4	3	3	4	3	4	4	3	3	1	3	3	1	4	3	3	3	3	3.043478261	2	3	3	4	4	3	4	3	3	3	3	4	4	2	3	4	2	3	3	2	3	3	3	4	4	2	3	3	3	3	2	3	3	2	3	3	2	2	2	3	3	3	3	3	3	3	4	3	4	3	3	4	4	3	3	3	3	4	3	3	4	2	2	2	2	1	2	2	2	3	2	2	1	2	3	2	2	2	2	2	1	1	2	1	2	2	1	2	2	2	3	1	3	4	2	1	3	1	2	2	1	3	2	2	2	2	4	1	2	3	1	2	2	2	2	2	3	2	1	1	2	1	1	2	2	2	2	1	1	3	2	1	2	2	2	3	3	2	3	1	2	3	2	2	3	2	2	2	1	1.939130435	2	2	3	2	1	2	2	2	2	3	2	1	1	2	1	2	1	2	2	2	2	2	2	1	2	2	2	3	3	3	3	2	2	2	1	1	3	2	3	3	2	1	3	2	2	2	2	2	3	2.48245614	3	3	1	3	3	3	3	2	2	2	3	3	2	2	2	2	2	3	1	3	2	4	4	3	2	3	1	3	2	3	3	3	2	3	3	1	3	4	4	4	2	3	2	2	2	2	3	4	3	2	2	3	3	3	1	3	3	3	2	2	2	3	3	2	1	2.48245614	3	2	3	2	2	3	2	3	3	3	3	3	2	1	2	2	2	3	2	3	1	2	3	3	3	2	4	2	2	1	2	2	2	3	1	1	2	2	1	2	2	3	2	2	2	2	2	2	2	2	2	1	4	3	3	2	2	3	2	4	2	2	2	2	3	2	4	2	3	2	3	1	1	2	3	2	1	2	2	2	2.078947368	2	2	2	1	3	2	1	1	2	2	2	2	2	2	3	2	1	2	2	4	2	2	2	2	2	2	2	2	2	3	2	2	2	3	1	2	3	3	2	3	2.078947368	2	2	2	1	1	2	3	1	3	2	1	2	3	2	4	1	1	1	3	2	1	3	3	3	1	1	3	3	3	2	2	2	3	3	2	1	4	3	3	2	3	4	3	3	3	3	3	3	2	3	3	2	3	4	4	3	3	3	2	3	4	2	3	4	2	3	4	4	1	2	4	3	3	1	1	3	3	3	3	4	3	3	4	2	3	3	3	3	4	2	3	4	3	2	1	3	3	2	3	3	2	2	2	3	3	3	2	3	1	2.730434783	3	2	3	2	3	3	3	3	3	3	3	3	3	2	2	2	2	3	3	3	2	3	3	4	1	2	3	3	3	1	1	3	2	3	2	2	3	3	2	3	4	4	4	3	2	2	3	4	3	3	3	2	3	3	3	2	3	3	3	1	4	4	3	4	3	3	4	3	4	3	3	3	1	2	4	4	3	2	3	3	3	3	3	2	3	4	2	3	4	3	3	3	4	3	3	3	3	4	1	3	3	2	3	3	2.747826087	4	3	3	3	2	1	2	2	3	4	1	2	3	2	3	3	1	3	3	3	1	2	3	3	3	1	3	3	3	2	2	2	2	2	3	1	3	3
3	3	3	4	3	4	3	3	2	3	2	2	3	3	3	4	2	2	2	2	2	3	3	2	2	2	3	3	3	3	1	3	1	3	2	3	2	4	4	4	2	3	2	3	3	1	4	4	3	2	3	3	2	3	3	3	3	3	3	3	2	4	3	2	3	3	2	3	3	3	3	2	2	3	2	1	3	1	3	2	3	3	3	4	3	3	3	3	2	3	2	3	2	3	3	3	4	3	3	2	3	2	2	4	2	3	3	4	3	2	3	1	1	3	4	3	1	2	2	1	2	3	2	4	3	2	2	2	2	2	3	3	3	2	2	3	2	2	2	3	2	4	3	2	2	2	3	3	4	2	3	3	2	2	1	1	3	2	2	3	1	4	1	2	2	3	3	2	4	2	2	3	2	2.324561404	2	2	2.324561404	1	2	2	3	2	4	3	2	2	3	3	2	2	3	4	2	4	2	1	3	2	2	1	2	2	2	3	3	3	2	2	2	1	2	2	1	2	2	3	2	3	2	2	3	1	2	4	2	3	3	3	2	2	1	2	3	3	3	2	4	3	3	4	4	3	3	3	3	2	3	3	2	2	2	3	2	3	3	2	4	4	3	3	4	4	3	2	1	3	3	4	4	3	3	3	3	4	3	3	4	4	4	4	3	2	3	3	3	3	3	3	3	3	3	3	3	4	2	3	3	3	3	3	4	3	4	4	2	3	3	4	2	3	3	4	3	3	2	4	3	3	3	3	3	3	2	3	2	4	3	3	3	3	3	2	2	3	2	2	2	1	3	3	3	3	3	2	4	2	3	2	1	2	1	1	1	2	1	1	1	2	1	1	1	2	2	1	2	1	2	2	2	2	2	1	2	1	3	1	1	2	1	2	2	2	2	1	2	1	1	1	2	1	2	1	1	1	1	2	2	1	2	2	1	1	2	2	2	2	2	2	1	1	2	2	2	1	1	2	1	2	1	1	2	2	1	1	2	1	1	1	2	2	2	1	1	3	1	1	1	2	2	2	1	1	1	2	2	2	1	1	2	2	1	2	2	1	2	2	1	2	2	2	2	2	1	2	3	3	4	4	2	4	3	4	2	3	3	3	3	3	2	3	3	3	2	3	2	3	3	4	2	4	2	3	3	3	3	3	1	3	3	3	3	3	4	4	3	4	3	3	4	4	4	3	3	4	2	3	3	3	3	3	3	3	3	2	3	4	4	3	3	3	2	3	3	3	4	3	3	3	3	4	2	3	3	2	3	2	3	4	3	3	4	2	3	3	3	3	2	3	3	3	3	3	3	3	1	3	3	2	2	1	3	2	4	3	2	3	2	3	3	3	3	3	1	3	2	2	3	1	1	3	3	1	2	2	1	2	2	1	2	2	3	3	3	1	2	1	2	3	2	2	2	3	1	3	2	3	3	4	3	2	3	3	3	1	3	1	3	3	3	2	3	3	1	3	2	2	3	3	2	2	2	4	3	2	2	2	2	4	3	3	3	2	2	2	2	2	3	1	3	2	3	3	2	3	1	3	2	1	2	2	2	2	3	2	2	3	2	3	3	2	3	2	3	1	2	3	3	2	2	2	2	2	3	3	3	2
3	3	3	2	3	2	3	3	2	3	3	3	3	2	2	4	3	3	2	2	3	3	3	3	4	3	3	3	3	3	4	3	4	3	3	3	3	3	4	3	2	2	4	3	4	4	4	3	4	3	3	3	1	3	2.877192982	2	3	3	2	3	3	4	3	2	3	3	2	2.877192982	3	3	3	3	3	3	2	3	3	3	3	3	3	4	3	3	3	3	3	3	3	3	2	2	2	2	3	3	3	4	3	3	2	2	2	4	3	1	3	2	2	3	3	3	3	3	3	2	2	1	1	2	1	2	1	3	3	2	2	2	3	2	3	3	2	3	2	2	1	2	1	1	1	2	3	2	2	2	2	1	1	2	2	2	1	1	2	4	3	3	2	2	1	1	1	3	1	1	2	2	2	1	2	2	1	1	2	2	2	1	2	1	3	2	3	2	2	2	3	1	2	3	3	2	2	1	2	2	2	1	2	1	2	2	3	2	1	2	3	3	2	3	2	3	1	1	3	2	1	3	1	1	2	1	2	4	3	2	1	2	1	2	2	2	3	3	3	3	3	3	3	1	2	3	2	3	3	3	3	3	2	3	2	3	2	3	3	3	2	2	3	3	4	2	3	3	3	3	3	3	3	4	2	4	3	4	3	3	3	2	4	4	3	2	3	3	3	3	3	3	4	3	2	3	3	2	3	2	3	2	3	4	3	3	4	3	3	3	3	2	2	2	3	2	1	3	3	4	3	3	3	4	2.791304348	3	2	2	2	2	2	3	4	2	2	3	2	3	2	2	2	1	3	3	4	3	4	2	4	2	3	2	2	2	1	1	2	2	2	3	3	2	2	1	2	2	2	2	2	2	2	1	2	1	1	1	1	4	3	2	1	3	1	1	4	2	2	2	3	1	2	1	2	1	2	2	2	2	1	2	2	2	2	2	2	1	2	3	1	1	3	2	3	1	3	2	4	2	2	2	2	2	1	2	2	2	2	4	2	3	1	3	3	2	2	1	1	1.939130435	1	1	2	2	3	3	2	2	3	2	2	2	2	1	2	2	1	2	2	1	2	2	1	2	1	2	1	3	2	2	3	3	2	2	2	3	2	3	1	3	2	3	2	3	2	3	2	3	2	3	3	2	2	3	3	3	3	3	2	2	3	3	1	4	3	2	4	4	2	1	3	2	3	3	4	4	4	3	2	1	3	3	1	3	2.556521739	2	3	4	2	3	2	4	3	2	2	3	2	3	3	3	4	3	2	3	3	1	3	1	3	1	2	2	2	4	3	2	4	2	3	3	2	1	1	2	3	2	3	3	1	2	1	3	3	2	2	1	3	1	4	3	4	2	4	2	3	3	3	3	3	1	1	2	3	3	2	3	3	1	2	3	1	4	2	3	3	1	3	3	4	3	2	3	3	3	2	3	3	3	4	3	3	3	4	3	3	1	2	1	3	2	3	2	2	3	3	3	3	2	1	3	2	2	3	3	2	3	2	4	3	1	3	2	2	3	2	3	4	3	2	2	2	2	3	3	3	4	2	3	3	3	1	2	3	3	3	3	2	2	3	1	2	2	2	3	1	3	2	2	3	1	3	1	3	1	1	3	2	2	1	2	2	3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72735&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72735&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72735&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Agglomerative Nesting (Hierarchical Clustering)
Agglomerative Coefficient	0.287941248464821

\begin{tabular}{lllllllll}
\hline
Agglomerative Nesting (Hierarchical Clustering) \tabularnewline
Agglomerative Coefficient & 0.287941248464821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72735&T=1

[TABLE]
[ROW][C]Agglomerative Nesting (Hierarchical Clustering)[/C][/ROW]
[ROW][C]Agglomerative Coefficient[/C][C]0.287941248464821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72735&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72735&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Agglomerative Nesting (Hierarchical Clustering)
Agglomerative Coefficient	0.287941248464821

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = euclidean ; par2 = ward ; par3 = 1 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;

Parameters (R input):

par1 = euclidean ; par2 = ward ; par3 = 1 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;

R code (references can be found in the software module):

par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
par6 <- as.numeric(par6)
par7 <- as.numeric(par7)
library(cluster)
if (par2 == 'flexible')
{
if (par3 == 1) pm <- c(par4)
if (par3 == 3) pm <- c(par4,par5,par6)
if (par3 == 4) pm <- c(par4,par5,par6,par7)
ag <- agnes(t(y),metric=par1,method=par2,par.method=pm)
} else {
ag <- agnes(t(y),metric=par1,method=par2)
}
mysub <- paste('Method: ',par2)
summary(ag)
bitmap(file='test1.png')
plot(ag,which.plots=2,main=main,sub=mysub,xlab=xlab,ylab=ylab)
dev.off()
bitmap(file='test2.png')
plot(ag,which.plots=1,main='Banner',sub=mysub,xlab=ylab,ylab=xlab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Agglomerative Nesting (Hierarchical Clustering)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Agglomerative Coefficient',header=TRUE)
a<-table.element(a,ag$ac)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code