Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationFri, 10 Nov 2017 11:10:10 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Nov/10/t1510308890sywy0vlpdtfvh6x.htm/, Retrieved Sat, 18 May 2024 11:43:56 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 18 May 2024 11:43:56 +0200
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Original text written by user:
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User-defined keywordsSQ SS WoM
Estimated Impact0
Dataseries X:
'case1' 4 3 5 4 3 3 5 4 4 5 4 5 2 2 3 4 3 3 1 4 3 2 3 3 4 4 4 3 2 4 3 2 3 3 4 3 1 1 3 3 2 3 3 3 3 4 2 4 3 4 4 4 3 3 4 3 2 4 3 3
'case2' 5 4 5 2 1 4 2 5 1 4 4 1 5 3 4 5 1 3 1 5 1 4 1 2 4 2 1 4 1 1 1 1 4 4 4 1 4 1 1 1 5 1 1 1 1 1 1 2 2 4 2 1 1 1 2 1 3 3 2 1
'case3' 3 4 3 2 3 4 3 5 4 3 3 2 4 4 5 2 3 3 1 4 3 2 2 3 5 4 3 3 3 3 3 3 4 5 4 3 3 2 2 3 3 2 3 3 3 4 3 5 4 4 4 5 5 5 4 3 4 4 3 5
'case4' 3 4 3 2 3 4 3 5 4 3 3 2 4 4 5 2 3 3 1 4 3 2 2 3 5 4 3 3 3 3 3 3 4 5 4 3 3 2 2 3 3 2 3 3 3 4 3 5 4 4 4 5 5 5 4 3 4 4 3 5
'case5' 5 4 5 5 5 4 5 4 5 5 4 4 4 2 4 3 3 4 4 4 2 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 5 5 5 4 4 5
'case6' 3 4 4 2 4 3 4 4 3 3 3 4 3 3 2 4 3 4 4 4 3 3 4 4 2 2 3 4 4 4 2 3 4 3 3 3 4 2 3 4 3 3 3 2 4 3 2 4 3 3 2 4 3 3 4 3 3 4 3 5
'case7' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case8' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case9' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case10' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case11' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case12' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case13' 2 5 2 3 3 4 5 4 4 4 3 4 3 4 4 3 3 3 1 3 3 1 3 3 4 5 3 3 4 3 3 4 4 3 3 2 2 2 2 3 4 3 3 3 3 4 2 3 3 2 2 3 4 4 3 4 4 3 4 3
'case14' 4 5 3 4 5 4 5 3 4 4 4 5 4 2 5 5 5 5 4 4 3 4 5 5 4 5 4 5 4 2 4 5 3 4 5 5 3 3 4 5 5 5 3 4 4 3 4 4 3 5 4 4 4 4 5 4 4 3 4 3
'case15' 4 1 5 1 1 3 2 5 1 5 2 5 4 4 4 2 1 1 1 5 1 2 1 2 3 2 1 5 1 1 1 1 2 1 1 1 5 1 1 2 5 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 4 3
'case16' 5 5 5 4 5 5 1 5 1 1 1 1 4 4 4 4 4 3 1 5 1 2 5 5 5 1 4 4 2 1 1 1 4 4 4 4 1 1 1 2 5 1 1 1 1 4 1 4 4 4 4 4 4 4 4 4 2 4 4 3
'case17' 5 4 5 5 5 5 5 2 5 5 5 5 2 2 5 5 2 5 3 5 5 5 5 5 5 5 3 4 3 3 3 3 4 4 4 3 2 3 4 4 4 4 4 4 4 4 4 4 4 5 5 5 2 2 5 4 2 4 4 5
'case18' 1 4 2 3 3 2 3 4 3 3 3 3 4 4 4 3 3 5 3 4 4 3 3 2 3 2 4 3 2 2 3 4 4 4 4 4 4 3 2 3 4 3 3 3 3 4 5 5 4 4 4 2 3 4 5 4 4 5 3 5
'case19' 1 4 2 3 3 2 3 4 3 3 3 3 4 4 4 3 3 5 3 4 4 3 3 2 3 2 4 3 2 2 3 4 4 4 4 4 4 3 2 3 4 3 3 3 3 4 5 5 4 4 4 2 3 4 5 4 4 5 3 5
'case20' 1 4 2 3 3 2 3 4 3 3 3 3 4 4 4 3 3 5 3 4 4 3 3 2 3 2 4 3 2 2 3 4 4 4 4 4 4 3 2 3 4 3 3 3 3 4 5 5 4 4 4 2 3 4 5 4 4 5 3 5
'case21' 1 4 2 3 3 2 3 4 3 3 3 3 4 4 4 3 3 5 3 4 4 3 3 2 3 2 4 3 2 2 3 4 4 4 4 4 4 3 2 3 4 3 3 3 3 4 5 5 4 4 4 2 3 4 5 4 4 5 3 5
'case22' 3 4 3 5 5 5 5 3 5 5 5 5 5 4 5 5 5 3 2 3 2 1 5 5 5 5 3 5 3 3 3 3 3 3 3 4 4 5 4 3 5 3 3 3 3 4 4 4 4 3 3 3 3 4 5 4 3 4 3 5
'case23' 4 3 4 3 3 3 4 3 4 4 4 3 4 1 4 4 3 2 3 4 3 2 3 3 3 4 4 4 4 3 3 4 4 4 4 4 3 4 4 2 3 4 5 4 3 2 2 2 3 2 4 4 3 3 4 4 2 3 3 1
'case24' 2 5 2 5 5 4 5 4 4 5 3 4 4 2 4 3 5 3 1 4 4 2 4 3 4 4 4 4 4 5 4 3 5 5 4 2 3 2 2 4 3 4 2 2 1 3 3 4 4 5 4 5 5 5 5 4 5 4 4 3
'case25' 2 5 2 5 5 4 5 4 4 5 3 4 4 2 4 3 5 3 1 4 4 2 4 3 4 4 4 4 4 5 4 3 5 5 4 2 3 2 2 4 3 4 2 2 1 3 3 4 4 5 4 5 5 5 5 4 5 4 4 3
'case26' 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 3 1 3 3 4 4 4 4 4 5 4 4 4 5 4 4 4 4 4 4 4 5 4 2 4 5 4 5 4 2 3 5 4 4 4 4 4 4 4 4 4 5 5
'case27' 2 3 3 4 5 3 4 3 4 2 1 1 2 1 2 3 2 3 1 3 1 1 4 2 4 4 2 3 2 1 3 4 4 3 3 3 2 1 2 4 5 1 1 1 2 2 2 3 2 2 2 3 1 3 4 3 2 1 1 3
'case28' 3 5 3 3 3 3 5 3 4 5 3 5 4 4 3 3 3 3 3 3 3 4 3 3 3 4 3 3 3 3 3 3 4 4 4 4 3 4 3 4 4 4 4 4 4 4 4 4 4 5 5 3 4 3 3 3 5 4 4 5
'case29' 5 5 5 5 5 4 3 3 3 3 3 3 3 2 3 3 3 2 1 2 2 3 3 4 4 3 5 3 3 3 3 1 5 4 4 3 3 2 2 4 3 3 4 4 3 3 3 4 4 5 4 5 5 4 5 4 5 4 4 3
'case30' 5 5 5 5 5 4 3 3 3 3 3 3 3 2 3 3 3 2 1 2 2 3 3 4 4 3 5 3 3 3 3 1 5 4 4 3 3 2 2 4 3 3 4 4 3 3 3 4 4 5 4 5 5 4 5 4 5 4 4 3
'case31' 4 4 4 4 4 3 4 4 4 3 3 3 3 2 5 3 3 3 3 2 4 4 4 3 3 4 3 3 3 4 3 3 4 3 3 4 3 3 3 2 3 2 3 1 1 3 3 2 3 3 3 2 3 3 2 4 3 1 3 1
'case32' 5 4 5 5 5 4 5 1 4 5 3 5 2 4 4 5 3 1 1 4 1 5 5 3 4 4 4 4 4 3 4 3 4 3 3 2 5 2 3 4 5 4 3 1 1 3 2 2 3 4 3 3 3 3 5 3 4 3 3 3
'case33' 4 4 4 4 4 3 3 4 3 3 2 2 2 1 1 2 2 3 1 5 1 3 4 3 4 5 3 5 4 3 3 3 4 4 4 5 5 3 5 3 4 4 2 3 2 4 3 3 4 4 5 5 3 4 4 4 5 4 2 5
'case34' 2 5 1 4 4 3 4 4 4 4 1 3 3 3 3 3 4 3 3 5 1 3 3 3 3 4 5 5 4 4 3 4 5 4 4 4 3 4 5 5 4 4 2 1 3 4 4 5 4 5 5 5 5 5 5 5 5 5 4 5
'case35' 4 3 4 3 4 4 3 3 4 3 3 3 2 3 4 3 3 2 2 3 2 4 3 3 3 4 2 4 3 3 2 2 3 3 3 2 4 3 3 2 1 2 3 2 2 2 3 2 3 4 4 3 3 3 4 2 3 2 3 3
'case36' 4 3 4 3 4 4 3 3 4 3 3 3 2 3 4 3 3 2 2 3 2 4 3 3 3 4 2 4 3 3 2 2 3 3 3 2 4 3 3 2 1 2 3 2 2 2 3 2 3 4 4 3 3 3 4 2 3 2 3 3
'case37' 5 4 5 5 5 3 4 3 4 3 2 2 4 4 5 4 3 3 1 4 1 4 4 4 5 5 3 4 3 3 3 3 4 4 4 4 4 3 4 4 5 4 4 1 1 2 2 3 3 4 4 2 3 4 4 3 5 3 3 3
'case38' 3 3 1 4 5 4 5 3 5 5 4 5 5 5 5 4 4 3 3 5 1 1 5 4 5 4 4 5 4 3 2 1 4 4 5 3 5 4 4 5 5 5 5 3 3 4 4 4 4 3 4 3 5 4 5 2 5 3 3 5
'case39' 5 4 4 5 5 5 5 1 5 5 3 5 1 1 1 1 3 1 1 3 1 4 5 5 4 4 5 4 4 3 2 2 5 5 5 4 5 3 4 4 2 3 5 1 4 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5
'case40' 4 2 4 4 4 4 3 3 3 4 3 4 1 2 4 3 3 2 3 5 1 3 3 3 4 3 4 3 4 3 4 4 4 4 4 3 5 4 2 4 4 1 3 1 3 4 4 4 4 5 4 5 4 5 4 3 5 5 4 5
'case41' 3 3 1 4 5 4 5 3 3 4 3 4 1 2 4 3 3 2 3 3 3 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 3 2 2 2 2 2 2 2 2 1 3 3 2 3 3 1
'case42' 2 2 4 3 3 2 5 2 1 4 3 5 2 2 5 4 2 3 1 5 4 2 3 2 2 2 2 3 3 4 3 3 4 4 2 2 1 3 4 4 1 4 1 1 3 1 1 1 2 2 3 2 3 5 3 2 5 1 1 1
'case43' 3 4 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 4 1 3 3 3 3 3 5 4 5 5 3 5 5 5 5 5 4 3 4 5 3 4 4 3 3 4 4 5 4 5 5 5 4 5 5 3 5 5 5 5
'case44' 3 4 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 4 1 3 3 3 3 3 5 4 5 5 3 5 5 5 5 5 4 3 4 5 3 4 4 3 3 4 4 5 4 5 5 5 4 5 5 3 5 5 5 5
'case45' 3 4 4 3 3 3 4 4 4 4 4 4 4 4 5 3 4 5 3 5 3 4 3 3 4 4 4 3 4 3 3 4 4 4 5 4 3 3 4 4 3 4 5 2 3 4 3 4 4 5 4 5 5 5 5 4 5 4 4 3
'case46' 3 4 4 3 3 3 4 4 4 4 4 4 4 4 5 3 4 5 3 5 3 4 3 3 4 4 4 3 4 3 3 4 4 4 5 4 3 3 4 4 3 4 5 2 3 4 3 4 4 5 4 5 5 5 5 4 5 4 4 3
'case47' 5 5 4 3 4 3 5 4 5 5 2 4 4 3 5 5 3 3 3 3 4 4 4 4 5 4 4 3 4 3 3 4 5 3 4 4 4 3 3 4 4 4 3 3 3 4 4 5 4 5 4 4 4 4 5 4 4 4 4 5
'case48' 5 5 4 3 4 3 5 4 5 5 2 4 4 3 5 5 3 3 3 3 4 4 4 4 5 4 4 3 4 3 3 4 5 3 4 4 4 3 3 4 4 4 3 3 3 4 4 5 4 5 4 4 4 4 5 4 4 4 4 5
'case49' 5 5 4 3 4 3 5 4 5 5 2 4 4 3 5 5 3 3 3 3 4 4 4 4 5 4 4 3 4 3 3 4 5 3 4 4 4 3 3 4 4 4 3 3 3 4 4 5 4 5 4 4 4 4 5 4 4 4 4 5
'case50' 5 5 4 3 4 3 5 4 5 5 2 4 4 3 5 5 3 3 3 3 4 4 4 4 5 4 4 3 4 3 3 4 5 3 4 4 4 3 3 4 4 4 3 3 3 4 4 5 4 5 4 4 4 4 5 4 4 4 4 5
'case51' 2 5 2 1 2 3 1 3 3 3 3 3 2 1 2 3 3 3 1 4 1 1 2 2 3 3 4 3 2 3 3 1 3 3 3 3 3 2 3 5 2 5 3 3 3 2 2 2 3 5 5 5 5 4 5 5 5 2 3 5
'case52' 4 5 4 4 3 5 4 1 3 5 4 5 1 1 4 2 1 4 1 4 4 1 3 1 4 1 1 2 1 1 1 2 2 2 1 1 1 2 1 3 3 3 3 1 1 1 1 1 2 4 1 2 3 1 4 1 4 1 1 3
'case53' 2 4 2 1 1 3 5 3 3 4 4 4 2 2 5 3 4 3 3 3 3 2 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 2 2 1 2 1 3 3 2 3 2 3 4 4 2 1 1 3
'case54' 5 5 4 5 5 5 3 4 5 5 3 5 3 1 5 5 1 5 1 5 2 5 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 3 4 5 2 5 1 1 5 5 5 5 5 5 5 5 4 5 5 4 5 5 5
'case55' 3 4 2 3 4 3 4 3 4 4 3 4 3 1 3 3 3 3 1 3 1 2 3 3 2 3 3 4 3 3 3 3 3 3 3 3 2 3 3 4 5 4 5 5 4 4 3 4 5 5 5 5 4 4 4 4 4 5 5 5
'case56' 3 4 3 4 4 2 5 1 4 5 4 5 3 4 5 4 3 2 1 5 2 1 3 4 2 3 3 5 4 4 4 4 5 5 5 5 5 5 5 5 5 4 4 1 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5
'case57' 3 5 4 5 5 4 5 3 3 5 4 5 3 3 4 4 4 3 1 5 5 2 5 4 4 4 3 4 3 4 3 3 4 4 4 3 2 3 2 2 3 3 4 2 3 4 3 4 4 4 4 4 4 5 5 3 4 4 4 3
'case58' 3 5 4 5 5 4 5 3 3 5 4 5 3 3 4 4 4 3 1 5 5 2 5 4 4 4 3 4 3 4 3 3 4 4 4 3 2 3 2 2 3 3 4 2 3 4 3 4 4 4 4 4 4 5 5 3 4 4 4 3
'case59' 5 5 4 4 5 3 5 5 5 4 3 3 2 1 5 5 3 2 3 5 2 3 4 3 4 2 4 4 4 5 4 2 5 5 5 4 3 3 3 4 3 5 5 1 1 4 3 3 4 5 5 5 5 5 5 4 5 4 4 5
'case60' 5 5 4 4 5 3 5 5 5 4 3 3 2 1 5 5 3 2 3 5 2 3 4 3 4 2 4 4 4 5 4 2 5 5 5 4 3 3 3 4 3 5 5 1 1 4 3 3 4 5 5 5 5 5 5 4 5 4 4 5
'case61' 3 3 3 5 5 4 3 3 5 4 3 4 2 1 4 4 5 3 2 3 5 4 5 5 5 3 5 3 5 4 3 5 3 3 3 4 3 4 4 3 3 1 5 3 4 3 4 4 3 4 4 4 4 5 5 5 4 4 4 5
'case62' 3 3 3 5 5 4 3 3 5 4 3 4 2 1 4 4 5 3 2 3 5 4 5 5 5 3 5 3 5 4 3 5 3 3 3 4 3 4 4 3 3 1 5 3 4 3 4 4 3 4 4 4 4 5 5 5 4 4 4 5
'case63' 2 4 2 4 4 3 5 4 4 1 2 1 5 5 5 3 3 4 3 4 2 3 3 3 3 5 4 3 4 4 3 3 3 3 3 3 3 3 5 4 4 3 5 3 3 4 4 4 4 4 3 3 3 3 4 4 4 4 5 5
'case64' 1 4 1 1 5 5 3 3 4 3 1 3 1 2 4 3 4 1 1 4 1 3 5 4 5 4 3 4 3 3 4 4 5 4 4 4 4 3 4 5 4 5 4 3 3 4 5 5 4 4 4 4 4 3 4 4 4 5 2 5
'case65' 3 1 2 4 3 4 4 1 2 3 3 3 1 4 5 1 1 3 1 4 4 3 4 4 4 4 1 2 1 2 1 2 2 1 2 2 1 2 1 1 4 1 2 1 1 1 1 1 2 2 2 2 2 2 2 1 2 1 1 1
'case66' 2 1 2 4 3 4 4 4 2 3 3 3 1 4 5 1 1 1 2 1 1 3 4 4 4 4 1 3 1 3 2 2 3 3 1 1 2 3 1 1 5 1 2 2 3 4 2 3 2 3 3 2 3 4 4 3 3 1 1 3
'case67' 3 4 2 4 5 3 3 2 3 4 4 4 2 3 3 3 3 2 2 4 2 5 4 4 3 3 4 4 4 4 3 2 4 4 4 4 4 4 4 4 4 2 4 4 4 5 4 4 4 5 5 4 5 5 5 4 4 4 4 5
'case68' 4 5 4 4 5 4 5 4 5 5 3 5 4 3 5 3 4 2 1 4 4 1 5 4 5 4 4 4 4 3 3 3 4 3 3 3 3 3 2 4 2 5 2 2 2 4 3 4 3 4 4 4 4 3 5 4 4 4 4 5
'case69' 4 5 4 4 5 4 5 4 5 5 3 5 4 3 5 3 4 2 1 4 4 1 5 4 5 4 4 4 4 3 3 3 4 3 3 3 3 3 2 4 2 5 2 2 2 4 3 4 3 4 4 4 4 3 5 4 4 4 4 5
'case70' 3 1 4 4 4 5 5 1 1 4 3 5 4 5 4 5 5 1 3 1 1 4 4 4 5 4 1 1 2 3 1 3 4 1 1 1 1 1 1 1 3 4 4 1 1 1 2 1 2 2 3 2 4 4 5 3 4 3 2 3
'case71' 3 1 4 4 4 5 5 1 1 4 3 5 4 5 4 5 5 1 3 1 1 4 4 4 5 4 1 1 2 3 1 3 4 1 1 1 1 1 1 1 3 4 4 1 1 1 2 1 2 2 3 2 4 4 5 3 4 3 2 3
'case72' 2 5 1 2 1 3 5 4 4 4 2 5 3 4 5 5 3 3 3 4 3 1 1 3 4 3 4 5 4 3 3 4 5 4 4 5 5 5 4 3 4 2 2 2 3 4 3 3 3 4 4 5 4 5 5 5 5 3 3 5
'case73' 2 5 1 2 1 3 5 4 4 4 2 5 3 4 5 5 3 3 3 4 3 1 1 3 4 3 4 5 4 3 3 4 5 4 4 5 5 5 4 3 4 2 2 2 3 4 3 3 3 4 4 5 4 5 5 5 5 3 3 5
'case74' 2 4 2 2 3 4 5 4 4 3 4 4 5 5 5 5 5 4 4 4 4 2 3 4 4 4 4 3 4 4 4 4 4 4 3 3 3 4 4 1 3 3 3 3 3 1 1 1 1 4 4 4 4 4 5 5 3 1 1 1
'case75' 1 4 2 4 4 4 5 1 4 5 5 5 2 2 2 2 2 1 1 2 2 1 4 4 5 3 3 4 3 3 3 3 4 3 3 3 4 4 4 1 5 5 3 2 2 4 4 4 4 4 4 3 4 4 5 5 4 4 3 5
'case76' 5 5 4 5 5 5 5 2 4 5 3 5 2 5 3 5 5 4 3 4 4 3 5 5 5 5 2 4 4 3 4 4 5 5 3 3 4 3 4 4 4 5 3 4 3 3 3 4 3 5 5 4 4 4 5 4 4 4 3 3
'case77' 5 4 4 4 4 5 5 5 5 3 1 2 3 2 5 4 3 3 1 5 1 4 5 5 5 5 2 3 4 3 3 3 3 3 4 4 3 1 3 2 4 1 1 1 1 3 3 3 3 1 3 2 2 4 3 4 4 2 4 5
'case78' 4 4 4 3 3 3 5 3 5 5 4 4 2 2 5 3 3 3 3 4 5 4 3 5 4 4 4 2 5 5 5 5 5 5 4 4 5 5 4 4 4 2 3 2 2 4 3 4 4 4 4 4 4 5 5 5 4 3 5 5
'case79' 5 5 5 5 5 5 5 5 5 5 5 5 5 4 5 5 5 3 3 5 3 5 5 5 5 5 3 3 3 3 3 3 5 5 5 5 3 3 3 3 4 4 3 2 3 5 5 5 5 5 5 5 5 5 5 4 5 5 3 5
'case80' 5 4 5 5 5 4 5 5 5 5 5 5 3 3 3 5 5 4 5 5 5 4 4 4 4 5 4 4 4 5 4 3 5 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 4 4 4 5 5 5 4 4 4 5 5 5
'case81' 1 2 2 3 4 3 4 3 5 2 2 2 2 1 5 2 1 3 1 4 3 1 3 3 5 5 2 5 2 2 3 5 5 3 4 5 5 2 4 5 3 2 2 2 2 4 4 4 3 4 2 4 4 4 4 2 4 5 4 5
'case82' 3 4 3 3 3 3 4 4 4 5 3 5 3 3 2 2 4 3 3 5 3 3 3 3 4 4 3 4 3 4 4 3 4 4 4 4 3 3 3 3 3 3 4 3 3 4 4 4 4 4 4 4 5 4 4 3 4 5 4 5
'case83' 3 4 3 3 3 3 4 4 4 5 3 5 3 3 2 2 4 3 3 5 3 3 3 3 4 4 3 4 3 4 4 3 4 4 4 4 3 3 3 3 3 3 4 3 3 4 4 4 4 4 4 4 5 4 4 3 4 5 4 5
'case84' 1 4 2 4 5 4 5 5 5 5 1 5 1 1 5 3 1 3 1 4 1 2 4 1 5 3 1 3 1 3 2 5 5 3 4 4 1 2 1 3 5 1 1 1 1 4 3 4 3 4 4 1 2 4 4 1 5 5 2 3
'case85' 3 3 3 1 1 3 4 1 1 4 4 4 1 1 1 3 5 1 1 1 1 3 1 4 1 3 5 3 5 5 4 2 4 4 4 4 1 1 1 1 2 1 1 1 1 3 3 2 3 4 3 3 3 4 3 2 2 3 4 3
'case86' 3 2 2 4 4 4 5 2 5 5 3 4 3 3 3 3 2 4 3 4 4 2 4 4 4 4 4 3 3 4 4 3 3 3 4 5 4 3 3 2 5 2 3 4 3 4 4 5 5 4 4 4 4 4 3 3 4 5 4 5
'case87' 2 4 2 4 4 4 4 3 4 3 3 4 4 3 3 4 3 3 3 5 2 3 5 4 4 4 4 4 3 4 3 3 4 4 4 4 5 4 4 4 4 3 3 4 4 5 4 4 4 4 4 5 4 4 5 3 4 5 4 5
'case88' 4 4 2 4 4 4 4 3 4 3 3 4 4 3 3 4 3 3 3 3 3 3 5 4 4 4 3 5 2 3 3 1 3 3 4 3 4 4 2 3 1 3 4 1 3 4 1 5 4 5 4 4 5 3 4 5 3 4 3 5
'case89' 4 4 2 4 4 4 4 3 4 3 3 4 4 3 3 4 3 3 3 3 3 3 5 4 4 4 3 5 2 3 3 1 3 3 4 3 4 4 2 3 1 3 4 1 3 4 1 5 4 5 4 4 5 3 4 5 3 4 3 5
'case90' 5 4 5 4 5 4 5 1 3 3 3 5 1 5 4 3 3 2 3 1 3 4 3 3 3 3 2 3 3 3 3 4 3 2 3 3 3 4 3 4 4 3 3 2 3 4 4 4 4 4 4 4 4 4 4 4 4 4 3 5
'case91' 5 4 5 4 5 4 5 1 3 3 3 5 1 5 4 3 3 2 3 1 3 4 3 3 3 3 2 3 3 3 3 4 3 2 3 3 3 4 3 4 4 3 3 2 3 4 4 4 4 4 4 4 4 4 4 4 4 4 3 5
'case92' 4 5 2 3 4 3 3 5 3 3 3 3 5 4 5 5 3 3 3 5 4 2 3 3 3 2 3 3 5 5 3 3 5 5 5 5 5 1 4 5 5 5 2 2 4 5 5 5 5 5 5 4 5 5 5 4 5 5 5 5
'case93' 4 5 2 3 4 3 3 5 3 3 3 3 5 4 5 5 3 3 3 5 4 2 3 3 3 2 3 3 5 5 3 3 5 5 5 5 5 1 4 5 5 5 2 2 4 5 5 5 5 5 5 4 5 5 5 4 5 5 5 5
'case94' 4 5 2 3 4 3 3 5 3 3 3 3 5 4 5 5 3 3 3 5 4 2 3 3 3 2 3 3 5 5 3 3 5 5 5 5 5 1 4 5 5 5 2 2 4 5 5 5 5 5 5 4 5 5 5 4 5 5 5 5
'case95' 4 5 2 3 4 3 3 5 3 3 3 3 5 4 5 5 3 3 3 5 4 2 3 3 3 2 3 3 5 5 3 3 5 5 5 5 5 1 4 5 5 5 2 2 4 5 5 5 5 5 5 4 5 5 5 4 5 5 5 5
'case96' 5 5 5 5 5 5 5 5 4 4 1 5 4 2 1 1 1 3 1 2 1 4 5 5 5 2 3 5 3 2 5 1 5 4 5 5 1 1 1 3 4 1 1 1 1 4 3 5 4 5 5 5 5 5 5 5 5 5 5 5
'case97' 5 2 4 5 5 5 4 1 4 3 3 3 2 4 4 4 4 1 1 4 1 1 5 3 5 5 4 4 2 3 3 3 5 4 3 4 5 1 4 4 4 4 2 1 3 4 3 4 4 4 4 2 4 4 4 4 4 4 4 5
'case98' 2 5 3 2 3 3 5 4 2 5 4 5 4 2 5 3 3 1 1 2 2 3 5 3 3 4 4 3 3 5 2 1 5 5 5 5 4 5 4 4 2 5 3 5 3 5 4 4 4 4 5 4 3 3 4 5 5 5 3 5
'case99' 4 2 2 2 3 2 3 1 3 1 1 1 2 2 3 3 3 1 1 1 1 2 1 1 2 3 4 1 2 2 3 1 3 3 3 3 2 2 1 1 3 1 3 3 3 2 1 1 2 3 2 3 2 4 2 4 4 2 2 3
'case100' 5 5 2 5 5 2 5 5 4 5 4 4 4 5 5 5 4 2 1 2 5 5 5 3 4 5 1 2 3 4 4 5 5 4 2 3 5 3 4 3 1 1 3 5 4 1 4 3 3 1 2 3 2 1 4 2 3 1 2 3
'case101' 3 2 3 4 4 3 4 3 3 4 3 4 4 4 4 4 4 2 1 2 1 4 4 4 3 4 3 1 3 3 2 2 3 3 3 3 2 2 2 2 4 2 4 2 3 2 2 2 3 2 2 2 3 3 4 3 3 2 2 3
'case102' 4 4 3 3 3 4 3 1 4 3 3 3 3 5 3 4 4 3 1 2 1 3 1 3 3 4 1 1 3 4 3 2 4 3 2 3 4 3 1 1 3 2 2 2 3 3 3 2 2 2 3 3 2 4 3 4 3 1 3 3
'case103' 2 2 2 3 4 4 4 3 3 4 4 4 4 4 5 4 4 1 2 2 4 2 3 2 4 3 4 2 3 4 4 3 4 4 4 4 4 4 3 3 4 2 3 3 3 4 2 3 4 4 4 4 2 4 4 4 4 4 4 3
'case104' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case105' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case106' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case107' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case108' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case109' 5 1 4 1 1 5 5 5 1 4 1 5 4 2 5 4 1 3 1 4 1 1 1 2 5 1 1 2 2 1 1 1 4 3 4 4 4 1 2 3 5 4 1 1 1 4 2 4 4 1 1 2 4 4 4 4 4 4 4 5
'case110' 2 4 1 2 1 3 3 3 4 4 3 3 1 2 5 3 3 1 1 2 4 3 2 3 3 4 3 3 3 3 3 3 5 4 4 4 3 3 3 2 3 2 1 1 1 2 2 2 3 3 3 3 3 4 4 4 4 2 3 3
'case111' 2 4 1 2 1 3 3 3 4 4 3 3 1 2 5 3 3 1 1 2 4 3 2 3 3 4 3 3 3 3 3 3 5 4 4 4 3 3 3 2 3 2 1 1 1 2 2 2 3 3 3 3 3 4 4 4 4 2 3 3
'case112' 2 4 1 2 1 3 3 3 4 4 3 3 1 2 5 3 3 1 1 2 4 3 2 3 3 4 3 3 3 3 3 3 5 4 4 4 3 3 3 2 3 2 1 1 1 2 2 2 3 3 3 3 3 4 4 4 4 2 3 3
'case113' 4 3 4 4 4 4 4 5 3 3 2 2 3 4 4 3 2 2 1 3 1 3 4 4 5 5 3 4 3 3 3 2 4 4 4 4 3 4 3 4 3 2 4 2 3 4 4 4 4 5 4 4 3 4 4 3 3 4 2 3
'case114' 4 3 4 4 4 4 4 5 3 3 2 2 3 4 4 3 2 2 1 3 1 3 4 4 5 5 3 4 3 3 3 2 4 4 4 4 3 4 3 4 3 2 4 2 3 4 4 4 4 5 4 4 3 4 4 3 3 4 2 3
'case115' 4 3 3 3 3 3 3 2 3 1 1 1 1 1 1 3 1 1 1 2 1 3 3 3 3 3 1 2 1 1 1 1 3 3 3 2 3 1 1 3 3 3 3 3 1 4 3 3 4 3 3 3 3 3 3 3 3 5 3 3
'case116' 4 3 3 3 3 3 3 2 3 1 1 1 1 1 1 3 1 1 1 2 1 3 3 3 3 3 1 2 1 1 1 1 3 3 3 2 3 1 1 3 3 3 3 3 1 4 3 3 4 3 3 3 3 3 3 3 3 5 3 3
'case117' 2 4 3 4 5 4 4 3 5 4 3 5 2 5 4 5 3 3 2 4 1 2 4 3 4 4 3 3 4 3 3 3 4 3 3 3 4 3 4 3 3 2 3 2 3 2 2 2 3 4 4 3 3 4 5 4 5 3 4 3
'case118' 2 4 3 4 5 4 4 3 5 4 3 5 2 5 4 5 3 3 2 4 1 2 4 3 4 4 3 3 4 3 3 3 4 3 3 3 4 3 4 3 3 2 3 2 3 2 2 2 3 4 4 3 3 4 5 4 5 3 4 3
'case119' 2 4 3 4 5 4 4 3 5 4 3 5 2 5 4 5 3 3 2 4 1 2 4 3 4 4 3 3 4 3 3 3 4 3 3 3 4 3 4 3 3 2 3 2 3 2 2 2 3 4 4 3 3 4 5 4 5 3 4 3
'case120' 3 3 4 5 5 3 3 2 5 4 3 4 4 4 3 4 4 2 3 3 1 2 5 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 2 1 1 1 1 3 1 2 2 2 4 2 3 3 4 4 3 3 3 2 1
'case121' 3 3 4 5 5 3 3 2 5 4 3 4 4 4 3 4 4 2 3 3 1 2 5 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 2 1 1 1 1 3 1 2 2 2 4 2 3 3 4 4 3 3 3 2 1
'case122' 3 3 4 5 5 3 3 2 5 4 3 4 4 4 3 4 4 2 3 3 1 2 5 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 2 1 1 1 1 3 1 2 2 2 4 2 3 3 4 4 3 3 3 2 1
'case123' 3 3 4 5 5 3 3 2 5 4 3 4 4 4 3 4 4 2 3 3 1 2 5 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 2 1 1 1 1 3 1 2 2 2 4 2 3 3 4 4 3 3 3 2 1
'case124' 4 4 5 4 3 4 5 5 4 5 5 5 5 4 5 5 5 1 1 5 3 3 3 3 4 4 4 5 4 4 4 5 5 5 5 5 5 5 5 3 2 3 5 5 5 5 4 5 4 3 4 4 4 4 4 4 5 3 3 3
'case125' 3 5 3 3 4 3 5 3 4 4 3 3 3 2 4 3 3 3 3 4 3 3 3 3 4 3 4 2 4 4 3 4 5 4 4 4 3 3 4 4 4 4 3 4 3 4 3 4 4 4 4 5 5 4 3 4 5 3 4 5
'case126' 2 5 3 3 4 5 5 4 5 5 2 2 4 2 5 5 5 3 4 2 3 1 3 2 4 5 4 3 3 5 3 3 4 4 3 2 5 4 5 3 2 2 3 5 3 4 3 5 4 5 5 5 5 5 5 5 5 5 2 5
'case127' 4 2 4 2 3 5 4 3 3 3 2 2 3 2 5 4 5 3 1 4 1 5 4 5 5 2 5 1 5 5 5 4 2 3 5 4 4 3 4 4 3 5 3 4 3 4 3 4 4 4 4 4 3 4 4 2 4 3 4 3
'case128' 4 5 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 5 5 5 5 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
'case129' 2 4 2 2 2 2 4 1 5 5 4 4 4 3 3 3 3 1 1 2 2 2 2 2 3 2 2 5 2 4 2 2 5 2 2 2 1 1 1 3 5 4 5 3 3 4 2 4 4 5 4 4 4 5 5 5 5 3 2 3
'case130' 4 4 4 2 3 5 4 2 5 4 4 2 2 1 2 3 3 1 1 3 2 1 2 3 5 5 3 3 3 3 3 2 4 5 4 2 4 2 2 3 4 3 3 3 3 2 3 4 3 3 3 4 4 4 3 3 4 4 3 5
'case131' 4 4 4 2 3 5 4 2 5 4 4 2 2 1 2 3 3 1 1 3 2 1 2 3 5 5 3 3 3 3 3 2 4 5 4 2 4 2 2 3 4 3 3 3 3 2 3 4 3 3 3 4 4 4 3 3 4 4 3 5
'case132' 4 4 4 2 3 5 4 2 5 4 4 2 2 1 2 3 3 1 1 3 2 1 2 3 5 5 3 3 3 3 3 2 4 5 4 2 4 2 2 3 4 3 3 3 3 2 3 4 3 3 3 4 4 4 3 3 4 4 3 5
'case133' 4 4 4 2 3 5 4 2 5 4 4 2 2 1 2 3 3 1 1 3 2 1 2 3 5 5 3 3 3 3 3 2 4 5 4 2 4 2 2 3 4 3 3 3 3 2 3 4 3 3 3 4 4 4 3 3 4 4 3 5
'case134' 3 4 3 3 3 3 4 4 3 4 2 5 3 2 4 3 3 3 2 4 2 3 3 3 5 4 4 4 4 3 4 3 4 4 4 4 4 2 3 4 4 2 4 4 4 4 3 4 4 4 4 3 3 4 4 3 4 4 3 5
'case135' 3 4 3 3 3 3 4 4 3 4 2 5 3 2 4 3 3 3 2 4 2 3 3 3 5 4 4 4 4 3 4 3 4 4 4 4 4 2 3 4 4 2 4 4 4 4 3 4 4 4 4 3 3 4 4 3 4 4 3 5
'case136' 3 4 3 3 3 3 4 4 3 4 2 5 3 2 4 3 3 3 2 4 2 3 3 3 5 4 4 4 4 3 4 3 4 4 4 4 4 2 3 4 4 2 4 4 4 4 3 4 4 4 4 3 3 4 4 3 4 4 3 5
'case137' 3 4 3 3 3 3 4 4 3 4 2 5 3 2 4 3 3 3 2 4 2 3 3 3 5 4 4 4 4 3 4 3 4 4 4 4 4 2 3 4 4 2 4 4 4 4 3 4 4 4 4 3 3 4 4 3 4 4 3 5
'case138' 4 2 4 3 3 3 4 1 2 1 1 4 1 1 5 1 1 3 1 2 5 2 3 2 3 4 1 3 1 1 2 1 1 2 2 2 5 1 2 3 2 2 1 1 2 2 1 2 2 3 4 3 3 4 2 2 3 3 2 1
'case139' 1 1 1 1 1 1 3 1 3 1 1 2 1 1 2 1 1 1 1 2 1 1 1 1 1 2 1 5 1 2 1 2 2 1 1 1 1 1 1 1 5 2 1 1 1 1 1 1 1 1 1 2 1 1 4 2 1 1 1 1
'case140' 5 4 5 5 4 5 5 5 5 4 4 4 4 5 5 5 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
'case141' 4 4 5 5 4 5 5 5 5 4 4 4 4 5 5 5 5 4 5 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 3 3 4 4 4 3 4 4 3 4 4 4 4 5 4 5 5 4 5 5 4 3 5
'case142' 4 2 4 5 5 4 5 4 4 2 2 1 2 2 5 2 2 1 1 4 1 2 5 4 4 4 1 1 2 1 3 2 2 2 2 2 1 1 2 1 3 2 1 4 2 1 2 1 2 4 4 2 4 4 4 4 1 2 2 3
'case143' 2 3 3 3 3 3 5 4 3 4 2 3 4 1 3 3 4 1 1 4 3 1 2 4 3 4 3 1 3 3 3 1 3 3 4 4 3 3 3 5 4 4 2 4 3 4 4 5 4 4 4 4 3 4 4 3 4 5 4 5
'case144' 3 3 3 4 4 4 4 3 4 4 4 4 3 4 5 3 3 3 3 3 3 4 4 4 4 4 3 3 3 3 3 3 4 3 4 3 2 3 3 3 5 2 3 4 3 3 2 3 4 4 3 3 3 3 3 2 4 4 4 3
'case145' 5 3 5 5 5 5 4 5 4 4 3 4 5 5 5 5 5 5 5 5 3 4 5 5 5 5 5 5 5 5 5 5 4 4 5 5 5 5 5 4 5 4 4 5 4 4 5 5 4 4 4 4 5 5 4 4 5 4 4 5
'case146' 4 3 3 3 3 3 3 3 3 3 1 3 4 3 3 3 3 1 3 4 3 2 3 3 3 3 2 3 2 3 3 2 3 3 3 3 3 2 3 3 5 4 3 3 3 4 3 3 4 3 3 3 3 4 3 2 4 3 3 5
'case147' 5 4 5 4 4 4 5 3 5 5 4 4 5 4 5 5 4 3 4 5 5 3 4 4 4 5 4 2 5 5 5 4 5 5 4 4 4 4 4 5 4 4 4 5 4 2 3 4 3 2 2 4 2 2 4 4 4 2 2 1
'case148' 5 4 5 4 4 4 5 3 5 5 4 4 5 4 5 5 4 2 2 3 3 3 4 4 4 5 3 4 4 5 4 2 5 4 4 3 3 3 1 3 3 2 4 1 2 4 3 4 3 4 4 4 5 4 5 4 5 4 4 3
'case149' 1 2 1 1 1 1 2 1 3 4 3 4 1 4 3 4 2 2 1 5 1 1 2 2 1 4 2 2 3 4 4 1 4 4 3 3 2 1 2 3 1 3 4 1 3 1 1 1 2 2 2 2 3 4 3 2 4 1 2 1
'case150' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 3
'case151' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 3
'case152' 4 5 5 5 5 5 5 1 5 5 5 5 5 5 5 5 5 1 3 3 1 5 5 5 5 5 4 1 3 5 3 5 5 5 4 2 3 5 1 5 1 5 5 5 5 3 4 5 5 4 2 2 1 5 5 2 5 5 5 3
'case153' 4 2 3 5 5 5 5 1 4 4 2 5 3 2 4 4 3 1 1 2 1 5 5 3 5 4 3 4 2 3 3 2 2 3 3 3 4 1 2 4 4 2 4 1 1 4 3 3 4 4 4 2 2 3 4 4 3 4 2 5
'case154' 5 5 5 5 5 5 5 5 3 5 2 5 2 5 5 5 5 5 5 5 5 5 4 4 5 5 5 3 5 5 5 4 5 5 5 5 4 4 5 3 4 4 3 4 4 5 4 4 4 5 5 5 5 5 4 5 4 4 5 5
'case155' 3 4 2 5 5 3 5 5 5 4 2 5 1 2 5 3 5 1 1 5 3 4 5 3 5 4 5 1 4 5 2 1 5 4 5 3 2 5 4 4 3 4 2 4 3 4 4 5 4 4 4 4 4 5 4 4 5 5 2 5
'case156' 4 4 5 4 5 5 4 2 4 5 1 4 2 3 5 5 5 3 3 5 1 3 5 2 5 3 2 4 3 3 3 3 3 3 2 3 3 1 1 3 3 2 3 4 3 4 3 5 4 3 3 2 4 4 3 5 4 4 4 5
'case157' 4 4 4 4 3 4 5 4 5 5 2 2 3 3 5 5 5 3 3 5 5 4 2 4 4 5 3 2 4 5 5 3 4 4 4 4 5 4 5 2 2 3 3 5 5 4 4 4 4 5 5 5 5 5 5 5 5 3 5 3
'case158' 5 4 3 5 5 3 5 3 3 3 1 2 1 1 5 4 4 1 1 1 1 1 2 3 3 4 2 4 4 4 2 1 3 3 4 4 3 3 3 4 4 2 2 1 3 4 5 4 5 4 4 5 4 4 5 4 4 4 3 5
'case159' 1 2 1 4 4 2 4 4 2 3 1 2 2 3 4 4 3 2 1 2 2 2 3 2 2 3 2 1 2 4 2 1 4 3 2 3 4 1 2 2 2 2 1 4 1 2 1 3 3 2 2 2 3 4 3 1 4 3 2 1
'case160' 4 4 4 4 4 4 4 2 4 2 1 2 2 4 4 4 4 2 2 2 1 4 2 4 4 4 3 3 3 4 3 3 4 4 4 4 4 2 3 3 4 4 4 4 4 3 3 4 3 3 3 3 3 3 4 4 3 4 3 5
'case161' 5 3 4 4 4 5 5 3 4 5 3 4 4 2 5 4 3 4 1 4 5 2 4 4 5 5 4 5 5 3 4 3 5 4 4 4 4 5 4 5 3 3 3 3 3 4 4 4 4 5 4 5 4 5 5 5 5 4 4 5
'case162' 2 4 3 4 4 5 5 2 2 5 4 5 2 1 1 2 3 2 1 3 1 1 4 3 5 3 2 2 3 5 4 2 4 3 2 2 4 2 3 1 4 1 2 1 1 2 2 1 2 4 5 5 4 4 5 5 4 2 1 1
'case163' 2 4 3 4 4 5 5 2 2 5 4 5 2 1 1 2 3 2 1 3 1 1 4 3 5 3 2 2 3 5 4 2 4 3 2 2 4 2 3 1 4 1 2 1 1 2 2 1 2 4 5 5 4 4 5 5 4 2 1 1
'case164' 2 4 3 4 4 5 5 2 2 5 4 5 2 1 1 2 3 2 1 3 1 1 4 3 5 3 2 2 3 5 4 2 4 3 2 2 4 2 3 1 4 1 2 1 1 2 2 1 2 4 5 5 4 4 5 5 4 2 1 1
'case165' 2 4 3 4 4 5 5 2 2 5 4 5 2 1 1 2 3 2 1 3 1 1 4 3 5 3 2 2 3 5 4 2 4 3 2 2 4 2 3 1 4 1 2 1 1 2 2 1 2 4 5 5 4 4 5 5 4 2 1 1
'case166' 3 2 4 3 4 3 4 3 3 4 3 3 3 4 3 2 2 3 3 2 1 3 3 2 3 3 1 4 1 3 3 3 2 1 2 2 1 1 2 4 3 2 3 1 3 1 1 2 2 2 2 1 2 3 2 2 3 1 2 1
'case167' 3 2 4 3 4 3 4 3 3 4 3 3 3 4 3 2 2 3 3 2 1 3 3 2 3 3 1 4 1 3 3 3 2 1 2 2 1 1 2 4 3 2 3 1 3 1 1 2 2 2 2 1 2 3 2 2 3 1 2 1
'case168' 5 2 4 3 4 3 4 5 3 4 3 3 3 4 3 2 2 3 1 4 4 3 3 2 3 3 3 4 2 3 4 2 5 4 4 4 4 5 3 5 5 2 3 1 3 3 3 4 3 4 4 3 4 5 5 3 5 2 2 3
'case169' 4 4 2 3 3 3 2 2 5 4 4 4 2 4 3 4 3 4 1 5 2 4 3 3 3 5 5 5 3 5 3 2 5 4 4 3 3 2 1 4 5 4 5 1 3 5 4 5 4 4 4 3 4 4 5 3 4 5 4 5
'case170' 3 3 3 5 5 3 1 4 4 2 2 2 3 3 5 3 3 2 3 5 2 2 3 2 5 5 2 4 3 3 3 2 4 3 4 3 5 1 3 3 5 3 3 2 3 3 3 2 3 5 4 3 3 4 3 2 3 3 3 5
'case171' 1 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 4 3 3 5 2 1 5 5 5 5 5 5 5 5 5 5 5 5 5 1 5 5 1 5 4 2 3 1 3 3 2 2 3 4 4 4 4 5 5 2 5 3 5 5
'case172' 2 4 4 3 5 4 5 5 5 3 4 5 2 3 4 4 3 2 1 1 1 1 4 4 4 4 2 4 3 4 2 1 2 4 4 4 2 2 2 1 4 1 3 1 1 3 4 2 3 5 5 3 4 3 4 3 3 2 3 3
'case173' 2 1 3 5 5 3 5 4 2 5 5 4 1 4 5 5 3 3 4 1 3 5 5 1 3 2 1 1 1 5 3 3 2 1 4 4 4 1 1 2 2 3 4 5 3 1 1 1 2 2 3 2 3 2 5 4 5 1 1 1
'case174' 3 3 5 3 3 3 4 1 3 3 1 2 1 1 3 3 3 3 1 1 3 2 3 3 3 2 1 2 1 3 3 1 1 1 1 1 1 3 1 1 2 3 3 1 3 1 1 1 1 1 1 2 1 4 2 1 4 1 3 3
'case175' 3 3 5 3 3 3 4 1 3 3 1 2 1 1 3 3 3 3 1 1 3 2 3 3 3 2 1 2 1 3 3 1 1 1 1 1 1 3 1 1 2 3 3 1 3 1 1 1 1 1 1 2 1 4 2 1 4 1 3 3
'case176' 5 3 5 3 3 3 4 4 3 3 1 2 1 1 3 3 3 3 3 3 3 2 3 3 3 2 1 4 2 1 2 2 4 2 3 3 3 4 4 1 5 2 2 2 2 1 1 1 2 3 2 2 2 2 3 3 3 2 2 1
'case177' 5 5 5 5 5 4 2 2 4 3 3 3 2 4 5 4 5 3 1 5 1 5 5 2 4 4 3 3 4 5 5 3 4 4 4 3 2 4 4 4 3 2 2 4 3 4 4 2 3 4 4 3 4 3 4 4 4 4 3 5
'case178' 4 5 3 5 5 5 5 5 4 4 2 4 4 5 4 4 5 2 1 4 1 2 5 5 5 5 4 3 4 5 4 4 5 4 5 5 3 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 4 5 4 4 5
'case179' 5 5 4 5 4 5 5 3 4 5 3 5 4 4 5 5 4 3 1 4 1 5 5 4 5 4 3 3 4 5 4 3 5 4 4 4 4 3 4 3 3 2 3 5 3 2 3 3 3 4 4 4 4 4 4 4 4 2 3 3
'case180' 2 4 2 5 5 5 5 4 5 4 4 4 2 1 4 4 5 1 1 3 1 2 5 3 5 4 3 4 3 5 3 2 4 5 4 4 3 4 3 3 4 4 4 2 3 4 3 3 4 4 4 3 3 4 4 4 4 3 3 5
'case181' 4 3 5 4 3 3 5 4 4 5 4 5 2 2 3 4 3 3 1 4 3 2 3 3 4 4 4 3 2 4 3 2 3 3 4 3 1 1 3 3 2 3 3 3 3 4 2 4 3 4 4 4 3 3 4 3 2 4 3 3
'case182' 4 3 5 4 3 3 5 4 4 5 4 5 2 2 3 4 3 3 1 4 3 2 3 3 4 4 4 3 2 4 3 2 3 3 4 3 1 1 3 3 2 3 3 3 3 4 2 4 3 4 4 4 3 3 4 3 2 4 3 3
'case183' 3 3 3 4 4 3 5 3 4 3 3 3 3 2 3 3 3 2 3 4 1 2 3 3 5 3 4 3 2 2 3 3 5 4 4 3 5 1 2 3 5 2 4 2 3 2 3 3 3 4 3 4 3 3 5 2 4 2 2 3
'case184' 2 4 2 5 5 3 4 4 2 3 1 3 2 4 4 3 4 2 1 5 1 2 5 5 3 1 4 1 2 5 4 3 5 5 5 4 4 2 3 4 4 5 4 5 4 5 5 5 5 4 4 2 4 4 3 3 4 5 5 5
'case185' 2 1 1 5 5 2 4 4 1 1 1 4 1 1 5 4 1 1 1 1 2 1 5 1 2 1 1 1 1 2 1 1 2 1 1 1 2 1 1 2 4 1 1 2 2 1 1 1 2 1 1 1 1 2 2 1 1 1 1 1
'case186' 2 3 2 5 5 5 5 5 4 5 5 5 5 5 5 5 5 4 1 5 1 1 5 4 5 4 1 1 4 5 4 3 4 3 4 4 5 3 4 4 4 1 3 3 3 4 4 4 4 4 3 3 3 4 4 3 3 5 3 5
'case187' 3 3 2 5 5 5 3 5 3 2 1 4 4 4 5 5 4 2 2 2 2 2 5 3 3 3 3 2 3 5 4 2 3 3 4 5 2 3 4 4 4 3 4 3 4 4 3 4 4 4 4 4 4 4 4 4 4 5 3 5
'case188' 1 1 1 5 5 3 4 4 2 4 1 4 4 4 5 4 5 3 3 1 1 1 5 4 4 5 4 3 4 4 2 1 3 3 4 4 2 2 4 4 1 1 2 2 2 4 4 4 4 2 2 4 3 2 3 2 3 4 2 5
'case189' 5 1 1 5 5 3 4 3 2 4 1 4 4 4 5 4 5 1 1 5 4 1 5 4 4 5 1 3 3 5 1 1 5 4 4 4 2 3 3 1 2 5 1 1 1 1 1 1 3 4 3 3 4 5 4 1 4 1 1 3
'case190' 5 1 1 5 5 3 4 3 2 4 1 4 4 4 5 4 5 1 1 5 4 1 5 4 4 5 1 3 3 5 1 1 5 4 4 4 2 3 3 1 2 5 1 1 1 1 1 1 3 4 3 3 4 5 4 1 4 1 1 3
'case191' 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 5
'case192' 1 4 3 3 3 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 3 4 4 4 5 4 3 4 4 3
'case193' 3 5 3 3 3 3 5 4 3 3 2 4 4 2 5 3 3 5 4 4 3 3 3 3 3 3 3 3 3 3 3 4 5 4 4 4 4 3 3 4 2 4 3 4 3 4 4 3 4 5 4 4 5 4 5 4 5 4 4 3
'case194' 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 1 1 1 1
'case195' 4 5 4 5 5 5 3 3 4 5 2 5 2 2 5 3 5 2 1 2 2 5 5 4 5 3 3 2 4 5 4 4 5 3 4 4 3 3 3 4 5 4 4 4 4 4 4 5 5 4 4 4 4 4 4 4 4 5 4 5
'case196' 3 3 3 3 3 3 5 3 5 5 4 4 5 4 5 5 3 3 2 4 1 3 4 3 4 5 4 4 4 3 4 3 3 3 3 3 3 3 3 5 5 5 1 3 5 4 3 4 5 5 5 5 4 5 5 5 5 5 5 5
'case197' 3 5 3 4 4 3 4 2 4 4 3 3 4 2 4 3 3 3 2 4 3 3 3 3 4 3 4 3 3 4 3 4 5 5 4 3 5 5 5 4 4 4 4 3 3 4 4 4 4 5 5 4 5 5 4 3 5 4 3 5
'case198' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 3 4 5 5 4 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5
'case199' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 3 4 5 5 4 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5
'case200' 1 3 1 2 2 3 2 2 5 3 3 4 1 1 1 3 3 4 1 4 4 1 1 1 3 2 3 3 3 3 3 2 4 3 4 4 1 1 3 3 1 1 5 3 3 4 4 5 4 4 3 2 4 4 3 1 3 4 5 5
'case201' 1 3 1 2 2 3 2 2 5 3 3 4 1 1 1 3 3 4 1 4 4 1 1 1 3 2 3 3 3 3 3 2 4 3 4 4 1 1 3 3 1 1 5 3 3 4 4 5 4 4 3 2 4 4 3 1 3 4 5 5
'case202' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 5 3 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
'case203' 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 3 4 5 5 5 5 5 5 5 4 4 4 5 3 4 5 4 5 4 4 4 5 5 5 5 5 4 4 4 5 5 4 5 4 5 5 5 4 5 5 4 5
'case204' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
'case205' 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 4 5 4 5 5 5 5 5 4 4 4 5 4 3 4 4 5 4 4 4 1 4 3 4 2 3 1 2 1 2 3 5 4 5 5 5 5 3 5 3 3 3
'case206' 4 5 3 5 5 3 3 4 3 1 1 1 2 1 4 4 5 3 1 4 1 2 4 5 5 4 5 3 5 5 4 3 5 5 5 4 1 3 3 4 4 2 4 5 3 5 4 5 5 5 5 5 5 5 5 5 5 5 3 5
'case207' 5 2 4 5 5 4 5 5 5 5 2 2 5 2 5 5 5 3 2 5 1 1 5 4 4 5 4 3 5 5 5 2 4 4 5 5 2 2 4 5 4 5 4 4 4 4 4 5 5 4 4 5 4 5 4 4 5 5 2 5
'case208' 3 4 2 4 4 3 5 3 3 3 1 4 1 1 4 3 4 1 4 2 3 4 4 4 4 3 3 3 3 4 3 2 4 3 3 3 3 3 3 1 2 4 3 2 1 1 1 1 2 4 4 3 4 3 3 3 4 1 1 1
'case209' 5 4 2 4 4 3 5 3 3 3 1 4 1 1 4 3 4 1 2 4 5 4 4 4 4 3 4 4 4 4 5 4 5 5 5 4 4 4 3 3 3 4 3 2 2 5 5 4 4 4 4 4 5 5 5 4 5 3 2 5
'case210' 5 5 5 5 3 3 5 4 4 5 2 5 4 4 4 5 5 3 2 5 2 4 2 4 5 4 4 3 5 5 3 3 5 2 5 4 2 4 5 3 2 4 3 5 2 4 3 4 4 4 4 4 4 4 5 4 5 4 4 3
'case211' 4 2 4 4 3 3 3 4 4 2 1 3 3 4 4 3 2 3 1 4 1 2 1 3 3 4 2 3 3 4 3 1 3 3 4 3 3 1 3 3 4 4 2 3 2 3 2 3 3 3 3 2 3 4 3 3 3 4 3 5
'case212' 5 4 5 5 5 4 5 3 5 5 5 5 5 5 5 3 3 3 3 4 3 4 5 5 5 5 4 5 4 4 4 5 5 5 5 5 5 4 4 5 4 4 4 4 3 4 4 5 5 5 5 5 4 4 5 5 5 5 3 5
'case213' 4 4 5 5 5 4 5 2 5 5 5 5 5 5 5 3 3 1 5 5 1 4 5 5 5 5 1 5 1 1 1 1 4 3 2 2 2 1 1 2 5 2 1 1 1 4 2 4 3 4 4 2 3 4 4 1 2 4 2 3
'case214' 5 5 5 5 5 5 5 5 5 5 4 4 4 4 5 5 3 3 4 5 5 5 5 5 5 5 4 5 4 3 3 4 3 3 5 4 3 4 3 3 1 3 4 2 3 4 3 5 5 5 5 5 5 5 5 5 5 5 5 5




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center







Rotated Factor Loadings
VariablesFactor1Factor2Factor3Factor4Factor5
AS10.252-0.1490.1930.5870.084
AS20.3990.5110.0090.0340.209
AS30.059-0.0430.2180.6110.051
AS4-0.0170.453-0.0010.7060.046
AS50.0560.441-0.0730.707-0.014
AS60.147-0.0630.0490.5820.437
AS7-0.030.0580.2150.2760.558
EE10.405-0.1070.4580.0360.162
EE100.2030.5610.0770.2390.041
EE110.0330.2470.2690.1740.625
EE12-0.0430.5030.2560.0950.289
EE13-0.0080.1030.2680.1370.545
EE140.2750.0340.5790.1830.252
EE15-0.0360.2090.60.1910.084
EE160.108-0.0480.6150.1640.19
EE170.1430.1880.5330.2480.233
EE180.0790.6350.1850.2420.178
EE190.2860.190.564-0.05-0.042
EE20.1110.3960.5620.134-0.021
EE30.4460.090.3620.0150.196
EE40.110.3860.431-0.1190.091
EE50.1250.3570.3030.435-0.163
EE6-0.0160.4260.0390.7030.095
EE70.2080.4070.1110.6080.188
EE80.232-0.0440.0750.590.452
EE9-0.010.5060.1180.3630.131
I10.530.6210.110.0230.034
I100.3180.2540.1240.1130.067
I20.4540.5740.2310.0290.278
I30.1830.6830.0510.0340.232
I40.2790.6830.1660.0740.119
I50.2090.5460.44-0.0020.082
I60.540.260.088-0.0930.431
I70.6230.3940.072-0.0370.226
I80.7480.2350.2030.0520.12
I90.6560.2160.2940.0070.043
SPTS10.4120.140.287-0.0110.177
SPTS20.2050.6120.2760.0990.162
SPTS30.3780.5160.3-0.0040.064
SPTS40.6680.2290.2740.078-0.079
SPTS50.333-0.3490.1050.0210.089
SPTS60.4450.0940.3090.0530.17
SPTS70.3090.5150.1460.141-0.189
SPTS80.3090.4380.3510.094-0.22
SPTS90.3390.5290.3830.031-0.273
SS10.8480.0820.1180.0950.007
SS20.7310.3340.1250.115-0.12
SS30.8420.1060.1750.164-0.088
SS40.8580.1230.1520.181-0.016
TS10.5370.531-0.1630.1890.091
TS20.5570.544-0.1620.190.172
TS30.5340.528-0.1510.1020.305
TS40.6330.271-0.0480.0680.405
TS50.5440.287-0.056-0.0160.367
TS60.4460.3520.010.1350.45
TS70.4540.2890.0290.0730.37
TS80.5350.2890.058-0.050.41
W10.8290.0730.0510.208-0.069
W20.6750.1240.260.0480
W30.795-0.0380.0450.097-0.056

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 & Factor3 & Factor4 & Factor5 \tabularnewline
AS1 & 0.252 & -0.149 & 0.193 & 0.587 & 0.084 \tabularnewline
AS2 & 0.399 & 0.511 & 0.009 & 0.034 & 0.209 \tabularnewline
AS3 & 0.059 & -0.043 & 0.218 & 0.611 & 0.051 \tabularnewline
AS4 & -0.017 & 0.453 & -0.001 & 0.706 & 0.046 \tabularnewline
AS5 & 0.056 & 0.441 & -0.073 & 0.707 & -0.014 \tabularnewline
AS6 & 0.147 & -0.063 & 0.049 & 0.582 & 0.437 \tabularnewline
AS7 & -0.03 & 0.058 & 0.215 & 0.276 & 0.558 \tabularnewline
EE1 & 0.405 & -0.107 & 0.458 & 0.036 & 0.162 \tabularnewline
EE10 & 0.203 & 0.561 & 0.077 & 0.239 & 0.041 \tabularnewline
EE11 & 0.033 & 0.247 & 0.269 & 0.174 & 0.625 \tabularnewline
EE12 & -0.043 & 0.503 & 0.256 & 0.095 & 0.289 \tabularnewline
EE13 & -0.008 & 0.103 & 0.268 & 0.137 & 0.545 \tabularnewline
EE14 & 0.275 & 0.034 & 0.579 & 0.183 & 0.252 \tabularnewline
EE15 & -0.036 & 0.209 & 0.6 & 0.191 & 0.084 \tabularnewline
EE16 & 0.108 & -0.048 & 0.615 & 0.164 & 0.19 \tabularnewline
EE17 & 0.143 & 0.188 & 0.533 & 0.248 & 0.233 \tabularnewline
EE18 & 0.079 & 0.635 & 0.185 & 0.242 & 0.178 \tabularnewline
EE19 & 0.286 & 0.19 & 0.564 & -0.05 & -0.042 \tabularnewline
EE2 & 0.111 & 0.396 & 0.562 & 0.134 & -0.021 \tabularnewline
EE3 & 0.446 & 0.09 & 0.362 & 0.015 & 0.196 \tabularnewline
EE4 & 0.11 & 0.386 & 0.431 & -0.119 & 0.091 \tabularnewline
EE5 & 0.125 & 0.357 & 0.303 & 0.435 & -0.163 \tabularnewline
EE6 & -0.016 & 0.426 & 0.039 & 0.703 & 0.095 \tabularnewline
EE7 & 0.208 & 0.407 & 0.111 & 0.608 & 0.188 \tabularnewline
EE8 & 0.232 & -0.044 & 0.075 & 0.59 & 0.452 \tabularnewline
EE9 & -0.01 & 0.506 & 0.118 & 0.363 & 0.131 \tabularnewline
I1 & 0.53 & 0.621 & 0.11 & 0.023 & 0.034 \tabularnewline
I10 & 0.318 & 0.254 & 0.124 & 0.113 & 0.067 \tabularnewline
I2 & 0.454 & 0.574 & 0.231 & 0.029 & 0.278 \tabularnewline
I3 & 0.183 & 0.683 & 0.051 & 0.034 & 0.232 \tabularnewline
I4 & 0.279 & 0.683 & 0.166 & 0.074 & 0.119 \tabularnewline
I5 & 0.209 & 0.546 & 0.44 & -0.002 & 0.082 \tabularnewline
I6 & 0.54 & 0.26 & 0.088 & -0.093 & 0.431 \tabularnewline
I7 & 0.623 & 0.394 & 0.072 & -0.037 & 0.226 \tabularnewline
I8 & 0.748 & 0.235 & 0.203 & 0.052 & 0.12 \tabularnewline
I9 & 0.656 & 0.216 & 0.294 & 0.007 & 0.043 \tabularnewline
SPTS1 & 0.412 & 0.14 & 0.287 & -0.011 & 0.177 \tabularnewline
SPTS2 & 0.205 & 0.612 & 0.276 & 0.099 & 0.162 \tabularnewline
SPTS3 & 0.378 & 0.516 & 0.3 & -0.004 & 0.064 \tabularnewline
SPTS4 & 0.668 & 0.229 & 0.274 & 0.078 & -0.079 \tabularnewline
SPTS5 & 0.333 & -0.349 & 0.105 & 0.021 & 0.089 \tabularnewline
SPTS6 & 0.445 & 0.094 & 0.309 & 0.053 & 0.17 \tabularnewline
SPTS7 & 0.309 & 0.515 & 0.146 & 0.141 & -0.189 \tabularnewline
SPTS8 & 0.309 & 0.438 & 0.351 & 0.094 & -0.22 \tabularnewline
SPTS9 & 0.339 & 0.529 & 0.383 & 0.031 & -0.273 \tabularnewline
SS1 & 0.848 & 0.082 & 0.118 & 0.095 & 0.007 \tabularnewline
SS2 & 0.731 & 0.334 & 0.125 & 0.115 & -0.12 \tabularnewline
SS3 & 0.842 & 0.106 & 0.175 & 0.164 & -0.088 \tabularnewline
SS4 & 0.858 & 0.123 & 0.152 & 0.181 & -0.016 \tabularnewline
TS1 & 0.537 & 0.531 & -0.163 & 0.189 & 0.091 \tabularnewline
TS2 & 0.557 & 0.544 & -0.162 & 0.19 & 0.172 \tabularnewline
TS3 & 0.534 & 0.528 & -0.151 & 0.102 & 0.305 \tabularnewline
TS4 & 0.633 & 0.271 & -0.048 & 0.068 & 0.405 \tabularnewline
TS5 & 0.544 & 0.287 & -0.056 & -0.016 & 0.367 \tabularnewline
TS6 & 0.446 & 0.352 & 0.01 & 0.135 & 0.45 \tabularnewline
TS7 & 0.454 & 0.289 & 0.029 & 0.073 & 0.37 \tabularnewline
TS8 & 0.535 & 0.289 & 0.058 & -0.05 & 0.41 \tabularnewline
W1 & 0.829 & 0.073 & 0.051 & 0.208 & -0.069 \tabularnewline
W2 & 0.675 & 0.124 & 0.26 & 0.048 & 0 \tabularnewline
W3 & 0.795 & -0.038 & 0.045 & 0.097 & -0.056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][C]Factor3[/C][C]Factor4[/C][C]Factor5[/C][/ROW]
[ROW][C]AS1[/C][C]0.252[/C][C]-0.149[/C][C]0.193[/C][C]0.587[/C][C]0.084[/C][/ROW]
[ROW][C]AS2[/C][C]0.399[/C][C]0.511[/C][C]0.009[/C][C]0.034[/C][C]0.209[/C][/ROW]
[ROW][C]AS3[/C][C]0.059[/C][C]-0.043[/C][C]0.218[/C][C]0.611[/C][C]0.051[/C][/ROW]
[ROW][C]AS4[/C][C]-0.017[/C][C]0.453[/C][C]-0.001[/C][C]0.706[/C][C]0.046[/C][/ROW]
[ROW][C]AS5[/C][C]0.056[/C][C]0.441[/C][C]-0.073[/C][C]0.707[/C][C]-0.014[/C][/ROW]
[ROW][C]AS6[/C][C]0.147[/C][C]-0.063[/C][C]0.049[/C][C]0.582[/C][C]0.437[/C][/ROW]
[ROW][C]AS7[/C][C]-0.03[/C][C]0.058[/C][C]0.215[/C][C]0.276[/C][C]0.558[/C][/ROW]
[ROW][C]EE1[/C][C]0.405[/C][C]-0.107[/C][C]0.458[/C][C]0.036[/C][C]0.162[/C][/ROW]
[ROW][C]EE10[/C][C]0.203[/C][C]0.561[/C][C]0.077[/C][C]0.239[/C][C]0.041[/C][/ROW]
[ROW][C]EE11[/C][C]0.033[/C][C]0.247[/C][C]0.269[/C][C]0.174[/C][C]0.625[/C][/ROW]
[ROW][C]EE12[/C][C]-0.043[/C][C]0.503[/C][C]0.256[/C][C]0.095[/C][C]0.289[/C][/ROW]
[ROW][C]EE13[/C][C]-0.008[/C][C]0.103[/C][C]0.268[/C][C]0.137[/C][C]0.545[/C][/ROW]
[ROW][C]EE14[/C][C]0.275[/C][C]0.034[/C][C]0.579[/C][C]0.183[/C][C]0.252[/C][/ROW]
[ROW][C]EE15[/C][C]-0.036[/C][C]0.209[/C][C]0.6[/C][C]0.191[/C][C]0.084[/C][/ROW]
[ROW][C]EE16[/C][C]0.108[/C][C]-0.048[/C][C]0.615[/C][C]0.164[/C][C]0.19[/C][/ROW]
[ROW][C]EE17[/C][C]0.143[/C][C]0.188[/C][C]0.533[/C][C]0.248[/C][C]0.233[/C][/ROW]
[ROW][C]EE18[/C][C]0.079[/C][C]0.635[/C][C]0.185[/C][C]0.242[/C][C]0.178[/C][/ROW]
[ROW][C]EE19[/C][C]0.286[/C][C]0.19[/C][C]0.564[/C][C]-0.05[/C][C]-0.042[/C][/ROW]
[ROW][C]EE2[/C][C]0.111[/C][C]0.396[/C][C]0.562[/C][C]0.134[/C][C]-0.021[/C][/ROW]
[ROW][C]EE3[/C][C]0.446[/C][C]0.09[/C][C]0.362[/C][C]0.015[/C][C]0.196[/C][/ROW]
[ROW][C]EE4[/C][C]0.11[/C][C]0.386[/C][C]0.431[/C][C]-0.119[/C][C]0.091[/C][/ROW]
[ROW][C]EE5[/C][C]0.125[/C][C]0.357[/C][C]0.303[/C][C]0.435[/C][C]-0.163[/C][/ROW]
[ROW][C]EE6[/C][C]-0.016[/C][C]0.426[/C][C]0.039[/C][C]0.703[/C][C]0.095[/C][/ROW]
[ROW][C]EE7[/C][C]0.208[/C][C]0.407[/C][C]0.111[/C][C]0.608[/C][C]0.188[/C][/ROW]
[ROW][C]EE8[/C][C]0.232[/C][C]-0.044[/C][C]0.075[/C][C]0.59[/C][C]0.452[/C][/ROW]
[ROW][C]EE9[/C][C]-0.01[/C][C]0.506[/C][C]0.118[/C][C]0.363[/C][C]0.131[/C][/ROW]
[ROW][C]I1[/C][C]0.53[/C][C]0.621[/C][C]0.11[/C][C]0.023[/C][C]0.034[/C][/ROW]
[ROW][C]I10[/C][C]0.318[/C][C]0.254[/C][C]0.124[/C][C]0.113[/C][C]0.067[/C][/ROW]
[ROW][C]I2[/C][C]0.454[/C][C]0.574[/C][C]0.231[/C][C]0.029[/C][C]0.278[/C][/ROW]
[ROW][C]I3[/C][C]0.183[/C][C]0.683[/C][C]0.051[/C][C]0.034[/C][C]0.232[/C][/ROW]
[ROW][C]I4[/C][C]0.279[/C][C]0.683[/C][C]0.166[/C][C]0.074[/C][C]0.119[/C][/ROW]
[ROW][C]I5[/C][C]0.209[/C][C]0.546[/C][C]0.44[/C][C]-0.002[/C][C]0.082[/C][/ROW]
[ROW][C]I6[/C][C]0.54[/C][C]0.26[/C][C]0.088[/C][C]-0.093[/C][C]0.431[/C][/ROW]
[ROW][C]I7[/C][C]0.623[/C][C]0.394[/C][C]0.072[/C][C]-0.037[/C][C]0.226[/C][/ROW]
[ROW][C]I8[/C][C]0.748[/C][C]0.235[/C][C]0.203[/C][C]0.052[/C][C]0.12[/C][/ROW]
[ROW][C]I9[/C][C]0.656[/C][C]0.216[/C][C]0.294[/C][C]0.007[/C][C]0.043[/C][/ROW]
[ROW][C]SPTS1[/C][C]0.412[/C][C]0.14[/C][C]0.287[/C][C]-0.011[/C][C]0.177[/C][/ROW]
[ROW][C]SPTS2[/C][C]0.205[/C][C]0.612[/C][C]0.276[/C][C]0.099[/C][C]0.162[/C][/ROW]
[ROW][C]SPTS3[/C][C]0.378[/C][C]0.516[/C][C]0.3[/C][C]-0.004[/C][C]0.064[/C][/ROW]
[ROW][C]SPTS4[/C][C]0.668[/C][C]0.229[/C][C]0.274[/C][C]0.078[/C][C]-0.079[/C][/ROW]
[ROW][C]SPTS5[/C][C]0.333[/C][C]-0.349[/C][C]0.105[/C][C]0.021[/C][C]0.089[/C][/ROW]
[ROW][C]SPTS6[/C][C]0.445[/C][C]0.094[/C][C]0.309[/C][C]0.053[/C][C]0.17[/C][/ROW]
[ROW][C]SPTS7[/C][C]0.309[/C][C]0.515[/C][C]0.146[/C][C]0.141[/C][C]-0.189[/C][/ROW]
[ROW][C]SPTS8[/C][C]0.309[/C][C]0.438[/C][C]0.351[/C][C]0.094[/C][C]-0.22[/C][/ROW]
[ROW][C]SPTS9[/C][C]0.339[/C][C]0.529[/C][C]0.383[/C][C]0.031[/C][C]-0.273[/C][/ROW]
[ROW][C]SS1[/C][C]0.848[/C][C]0.082[/C][C]0.118[/C][C]0.095[/C][C]0.007[/C][/ROW]
[ROW][C]SS2[/C][C]0.731[/C][C]0.334[/C][C]0.125[/C][C]0.115[/C][C]-0.12[/C][/ROW]
[ROW][C]SS3[/C][C]0.842[/C][C]0.106[/C][C]0.175[/C][C]0.164[/C][C]-0.088[/C][/ROW]
[ROW][C]SS4[/C][C]0.858[/C][C]0.123[/C][C]0.152[/C][C]0.181[/C][C]-0.016[/C][/ROW]
[ROW][C]TS1[/C][C]0.537[/C][C]0.531[/C][C]-0.163[/C][C]0.189[/C][C]0.091[/C][/ROW]
[ROW][C]TS2[/C][C]0.557[/C][C]0.544[/C][C]-0.162[/C][C]0.19[/C][C]0.172[/C][/ROW]
[ROW][C]TS3[/C][C]0.534[/C][C]0.528[/C][C]-0.151[/C][C]0.102[/C][C]0.305[/C][/ROW]
[ROW][C]TS4[/C][C]0.633[/C][C]0.271[/C][C]-0.048[/C][C]0.068[/C][C]0.405[/C][/ROW]
[ROW][C]TS5[/C][C]0.544[/C][C]0.287[/C][C]-0.056[/C][C]-0.016[/C][C]0.367[/C][/ROW]
[ROW][C]TS6[/C][C]0.446[/C][C]0.352[/C][C]0.01[/C][C]0.135[/C][C]0.45[/C][/ROW]
[ROW][C]TS7[/C][C]0.454[/C][C]0.289[/C][C]0.029[/C][C]0.073[/C][C]0.37[/C][/ROW]
[ROW][C]TS8[/C][C]0.535[/C][C]0.289[/C][C]0.058[/C][C]-0.05[/C][C]0.41[/C][/ROW]
[ROW][C]W1[/C][C]0.829[/C][C]0.073[/C][C]0.051[/C][C]0.208[/C][C]-0.069[/C][/ROW]
[ROW][C]W2[/C][C]0.675[/C][C]0.124[/C][C]0.26[/C][C]0.048[/C][C]0[/C][/ROW]
[ROW][C]W3[/C][C]0.795[/C][C]-0.038[/C][C]0.045[/C][C]0.097[/C][C]-0.056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:  

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

Rotated Factor Loadings
VariablesFactor1Factor2Factor3Factor4Factor5
AS10.252-0.1490.1930.5870.084
AS20.3990.5110.0090.0340.209
AS30.059-0.0430.2180.6110.051
AS4-0.0170.453-0.0010.7060.046
AS50.0560.441-0.0730.707-0.014
AS60.147-0.0630.0490.5820.437
AS7-0.030.0580.2150.2760.558
EE10.405-0.1070.4580.0360.162
EE100.2030.5610.0770.2390.041
EE110.0330.2470.2690.1740.625
EE12-0.0430.5030.2560.0950.289
EE13-0.0080.1030.2680.1370.545
EE140.2750.0340.5790.1830.252
EE15-0.0360.2090.60.1910.084
EE160.108-0.0480.6150.1640.19
EE170.1430.1880.5330.2480.233
EE180.0790.6350.1850.2420.178
EE190.2860.190.564-0.05-0.042
EE20.1110.3960.5620.134-0.021
EE30.4460.090.3620.0150.196
EE40.110.3860.431-0.1190.091
EE50.1250.3570.3030.435-0.163
EE6-0.0160.4260.0390.7030.095
EE70.2080.4070.1110.6080.188
EE80.232-0.0440.0750.590.452
EE9-0.010.5060.1180.3630.131
I10.530.6210.110.0230.034
I100.3180.2540.1240.1130.067
I20.4540.5740.2310.0290.278
I30.1830.6830.0510.0340.232
I40.2790.6830.1660.0740.119
I50.2090.5460.44-0.0020.082
I60.540.260.088-0.0930.431
I70.6230.3940.072-0.0370.226
I80.7480.2350.2030.0520.12
I90.6560.2160.2940.0070.043
SPTS10.4120.140.287-0.0110.177
SPTS20.2050.6120.2760.0990.162
SPTS30.3780.5160.3-0.0040.064
SPTS40.6680.2290.2740.078-0.079
SPTS50.333-0.3490.1050.0210.089
SPTS60.4450.0940.3090.0530.17
SPTS70.3090.5150.1460.141-0.189
SPTS80.3090.4380.3510.094-0.22
SPTS90.3390.5290.3830.031-0.273
SS10.8480.0820.1180.0950.007
SS20.7310.3340.1250.115-0.12
SS30.8420.1060.1750.164-0.088
SS40.8580.1230.1520.181-0.016
TS10.5370.531-0.1630.1890.091
TS20.5570.544-0.1620.190.172
TS30.5340.528-0.1510.1020.305
TS40.6330.271-0.0480.0680.405
TS50.5440.287-0.056-0.0160.367
TS60.4460.3520.010.1350.45
TS70.4540.2890.0290.0730.37
TS80.5350.2890.058-0.050.41
W10.8290.0730.0510.208-0.069
W20.6750.1240.260.0480
W30.795-0.0380.0450.097-0.056



Parameters (Session):
par1 = 5 ;
Parameters (R input):
par1 = 5 ;
R code (references can be found in the software module):
par1 <- '5'
library(psych)
par1 <- as.numeric(par1)
x <- t(x)
nrows <- length(x[,1])
ncols <- length(x[1,])
y <- array(as.double(x[1:nrows,2:ncols]),dim=c(nrows,ncols-1))
colnames(y) <- colnames(x)[2:ncols]
rownames(y) <- x[,1]
print(y)
fit <- principal(y, nfactors=par1, rotate='varimax')
fit
fs <- factor.scores(y,fit)
fs
bitmap(file='test2.png')
plot(fs$scores,pch=20)
text(fs$scores,labels=rownames(y),pos=3)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Rotated Factor Loadings',par1+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variables',1,TRUE)
for (i in 1:par1) {
a<-table.element(a,paste('Factor',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (j in 1:length(fit$loadings[,1])) {
a<-table.row.start(a)
a<-table.element(a,rownames(fit$loadings)[j],header=TRUE)
for (i in 1:par1) {
a<-table.element(a,round(fit$loadings[j,i],3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')