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Author

*The author of this computation has been verified*

R Software Module

rwasp_factor_analysis.wasp

Title produced by software

Factor Analysis

Date of computation

Fri, 18 May 2012 04:47:23 -0400

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/2012/May/18/t1337330891ebzmxz5rybrw0wy.htm/, Retrieved Fri, 03 May 2024 17:07:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166646, Retrieved Fri, 03 May 2024 17:07:08 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

166

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-       [Factor Analysis] [factor analysis] [2012-05-18 08:47:23] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]

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Dataseries X:

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Histogram

Boxplots

'C1'	5	2	3	5	4	4	2	4	4	3	3	4	4	2	4	1	5	1	3	4
'C2'	4	4	3	4	4	4	2	2	4	5	5	5	4	2	4	4	5	4	5	4
'C3'	1	1	2	5	1	4	4	5	5	2	1	4	4	1	4	1	4	1	5	4
'C4'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C5'	5	5	3	5	5	5	3	3	5	5	4	5	5	5	5	3	3	3	5	3
'C6'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C7'	3	2	3	5	3	5	3	4	5	5	5	5	4	4	5	5	5	2	5	4
'C8'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C9'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C10'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C11'	2	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4	5	4
'C12'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C13'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C14'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C15'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C16'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C17'	5	4	3	5	3	5	4	5	4	5	5	5	4	NA	4	4	5	3	5	4
'C18'	5	5	4	3	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4
'C19'	2	4	1	4	1	3	2	4	4	4	4	5	2	3	4	4	4	3	5	2
'C20'	5	4	5	2	1	5	5	5	5	5	3	5	5	3	5	2	5	5	5	5
'C21'	5	4	5	3	4	5	3	5	4	5	5	5	4	3	4	3	4	3	5	4
'C22'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C23'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C24'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C25'	5	2	1	5	3	5	3	2	4	5	5	5	5	4	5	3	5	1	5	3
'C26'	2	4	2	5	2	3	2	3	2	4	4	5	4	3	4	2	4	1	5	2
'C27'	5	4	3	5	3	5	3	2	4	5	5	5	4	4	4	3	5	3	5	3
'C28'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C29'	5	2	3	5	4	4	5	5	5	4	5	5	4	3	4	5	5	4	5	5
'C30'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C31'	5	1	1	5	1	5	3	3	5	5	5	5	5	5	5	2	4	1	5	4
'C32'	1	1	1	3	1	3	3	1	4	5	5	5	5	4	5	1	5	1	5	1
'C33'	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
'C34'	3	5	2	4	1	4	2	3	4	4	2	4	5	3	4	3	5	3	5	4
'C35'	5	3	4	5	3	4	3	4	4	5	4	5	4	4	4	2	4	2	4	5
'C36'	4	2	3	4	4	5	3	4	4	5	4	4	4	4	4	4	4	3	5	5
'C37'	5	2	4	4	2	4	1	4	4	4	4	4	4	2	4	2	4	2	4	4
'C38'	4	2	3	3	2	4	1	4	4	5	4	4	4	4	2	3	4	3	4	4
'C39'	4	3	3	4	4	4	3	4	4	4	5	4	5	3	4	4	4	2	5	5
'C40'	4	2	3	5	2	3	1	4	3	5	5	3	4	2	5	2	5	2	5	5
'C41'	5	2	3	4	4	5	4	4	4	5	5	5	5	3	5	4	4	3	5	4
'C42'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C43'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C44'	5	1	1	4	3	4	4	3	5	5	5	5	4	4	5	4	4	3	5	3
'C45'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C46'	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
'C47'	4	2	4	4	4	4	4	4	4	4	4	4	4	3	4	4	5	4	4	4
'C48'	4	2	1	2	1	3	1	4	2	4	4	3	5	NA	4	3	5	2	5	1
'C49'	5	2	3	4	2	3	1	4	5	4	4	5	4	1	4	3	5	3	5	4
'C50'	4	4	4	4	4	4	3	5	5	5	5	5	5	5	5	3	5	3	5	5
'C51'	5	5	5	4	4	4	3	5	5	5	5	5	5	1	4	1	3	1	5	5
'C52'	4	4	3	4	4	4	4	4	4	4	4	4	4	1	4	1	4	1	4	4
'C53'	5	5	5	5	4	4	5	5	4	5	5	4	4	5	4	4	4	4	5	4
'C54'	5	5	5	4	5	5	2	5	5	5	5	5	5	3	5	3	5	3	5	5
'C55'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C56'	1	2	4	4	3	5	4	4	4	5	5	5	4	5	5	3	5	3	5	5
'C57'	5	5	5	5	5	5	5	5	4	5	5	5	5	5	5	5	5	3	5	5
'C58'	4	5	4	5	4	5	4	4	4	5	5	5	4	2	5	2	5	2	5	4
'C59'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C60'	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4
'C61'	5	4	NA	5	2	5	2	1	5	5	5	5	5	4	5	4	5	3	5	5
'C62'	4	2	3	3	2	3	4	5	4	4	4	4	4	4	4	3	4	2	5	5
'C63'	2	2	1	5	1	4	3	4	5	5	1	4	5	4	4	1	5	1	5	5
'C64'	5	3	2	5	4	3	4	4	4	4	4	5	5	2	5	3	3	3	5	4
'C65'	5	2	2	4	1	5	2	4	5	5	1	4	4	5	5	3	4	4	5	5
'C66'	2	2	1	5	1	4	1	3	5	5	4	4	4	4	4	3	4	2	5	4
'C67'	4	4	4	4	4	4	4	5	5	5	4	5	5	4	5	2	3	2	5	4
'C68'	4	5	3	4	3	5	2	3	4	5	4	5	4	3	4	2	4	3	4	3
'C69'	2	5	4	1	3	4	1	4	5	4	1	4	4	3	4	4	4	4	4	4
'C70'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C71'	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
'C72'	5	4	1	5	2	4	4	4	5	4	1	4	4	4	5	2	4	2	5	4
'C73'	2	4	4	4	2	5	2	4	4	4	4	5	2	4	3	2	5	2	5	4
'C74'	1	5	1	4	2	3	4	4	4	4	4	4	4	5	4	3	4	3	5	2
'C75'	4	5	4	4	4	5	3	4	4	5	4	4	4	4	5	5	5	NA	5	5
'C76'	5	4	3	5	1	5	1	3	5	5	5	4	4	4	5	3	5	4	5	5
'C77'	5	5	5	5	5	5	1	5	5	5	5	5	5	5	5	2	5	5	5	5
'C78'	5	5	1	5	1	5	4	4	4	4	5	5	5	3	5	3	4	3	5	4
'C79'	3	5	4	4	1	5	3	4	4	5	3	5	5	4	4	3	5	2	5	4
'C80'	5	3	3	4	2	5	1	5	5	5	5	5	5	1	5	1	5	3	5	5
'C81'	3	3	3	3	4	4	3	4	4	4	5	4	3	4	4	3	3	3	5	4
'C82'	5	5	1	5	1	4	1	4	3	5	5	5	5	5	3	2	4	3	1	5
'C83'	4	4	4	4	4	5	3	5	5	5	4	4	4	4	5	3	4	3	5	5
'C84'	4	5	2	4	1	4	1	4	4	5	4	4	4	4	4	4	5	3	5	4
'C85'	5	5	5	5	4	5	4	5	5	5	4	5	4	5	5	3	3	NA	5	5
'C86'	1	1	4	4	1	5	2	5	4	5	5	5	5	2	5	4	5	4	5	5
'C87'	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	3	4	3	5	5
'C88'	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	3	4	4
'C89'	5	5	4	3	4	4	2	5	4	5	5	5	4	4	4	3	5	4	5	5
'C90'	5	5	5	5	4	5	3	4	5	5	5	4	5	4	5	3	4	2	5	4
'C91'	5	5	5	5	3	5	4	5	5	5	5	5	5	4	4	3	3	5	5	5
'C92'	4	4	4	4	3	4	2	3	NA	2	4	4	4	4	4	3	5	2	5	4
'C93'	1	4	2	5	1	3	1	1	4	5	5	5	5	4	3	1	1	1	5	4
'C94'	5	5	5	3	4	5	3	4	4	4	4	4	5	4	4	2	4	3	5	4
'C95'	4	2	4	4	3	4	1	1	4	3	4	3	4	2	3	1	5	1	2	5
'C96'	5	4	4	5	2	4	2	4	5	NA	5	2	4	4	5	2	4	2	5	5
'C97'	5	5	4	5	3	5	5	5	5	5	5	5	5	5	5	3	5	3	5	4
'C98'	4	5	5	5	3	5	5	4	4	5	4	3	3	1	4	3	5	3	4	5
'C99'	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
'C100'	4	5	4	4	3	4	4	4	4	4	4	4	5	3	4	1	5	2	5	4
'C101'	4	4	3	4	2	4	4	4	4	4	4	4	4	3	4	3	3	3	4	4
'C102'	5	2	4	5	2	3	4	3	5	3	2	4	4	4	4	3	3	2	5	5
'C103'	4	2	4	5	1	4	4	4	5	5	4	4	5	3	5	4	5	3	5	5
'C104'	1	4	4	5	1	5	4	4	5	4	4	4	4	4	5	5	5	2	5	5
'C105'	5	5	2	4	3	5	5	3	4	5	5	4	5	1	5	3	4	2	5	5
'C106'	4	4	4	5	4	4	4	4	4	4	4	4	5	4	4	4	4	4	5	5
'C107'	4	5	3	1	4	4	3	2	1	1	3	1	1	2	2	2	2	4	1	1
'C108'	4	4	4	5	1	5	2	4	5	5	5	5	5	3	5	4	3	4	5	4
'C109'	5	5	5	4	2	4	4	4	4	4	2	4	4	4	4	3	4	2	4	NA
'C110'	4	3	4	4	3	5	2	4	3	5	5	4	4	2	4	4	4	3	5	5
'C111'	5	5	5	5	5	5	5	5	5	5	5	5	5	3	5	5	5	3	5	5
'C112'	5	5	5	5	1	4	1	5	5	5	5	5	2	3	5	3	4	2	5	4
'C113'	5	4	5	3	3	5	NA	4	4	5	5	5	4	3	4	4	4	NA	5	4
'C114'	4	4	4	5	3	5	2	4	5	5	5	5	5	2	5	3	4	3	5	5
'C115'	5	4	4	5	3	5	4	4	4	5	5	5	5	2	5	4	5	3	5	3
'C116'	5	5	5	4	2	4	4	4	5	5	4	5	5	4	5	4	5	4	5	5
'C117'	2	1	1	1	2	2	2	3	5	5	5	5	5	3	5	2	5	3	5	3
'C118'	1	1	2	5	1	5	3	4	4	4	1	2	3	4	4	3	4	4	5	4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166646&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166646&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166646&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	3 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Rotated Factor Loadings
Variables	Factor1	Factor2	Factor3	Factor4
Q1	0.198	0.677	0.161	-0.12
Q2	0.002	0.653	0.006	0.153
Q3	-0.064	0.7	0.398	0.202
Q4	0.353	0.05	0.47	-0.142
Q5	0.022	0.726	0.036	0.208
Q6	0.235	0.427	0.368	0.202
Q7	0.002	0.25	0.342	0.385
Q8	-0.023	0.306	0.534	0.337
Q9	0.413	-0.081	0.68	0.124
Q10	0.787	0.128	0.113	0.164
Q11	0.636	0.453	-0.307	0.002
Q12	0.763	0.128	0.028	0.092
Q13	0.641	0.062	0.224	-0.067
Q14	0.185	-0.018	0.025	0.515
Q15	0.642	-0.041	0.419	0.224
Q16	0.136	0.184	0.034	0.791
Q17	0.28	-0.097	0.149	0.231
Q18	-0.047	0.356	0.029	0.722
Q19	0.55	-0.281	0.323	0.335
Q20	0.119	0.298	0.744	-0.001

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 & Factor3 & Factor4 \tabularnewline
Q1 & 0.198 & 0.677 & 0.161 & -0.12 \tabularnewline
Q2 & 0.002 & 0.653 & 0.006 & 0.153 \tabularnewline
Q3 & -0.064 & 0.7 & 0.398 & 0.202 \tabularnewline
Q4 & 0.353 & 0.05 & 0.47 & -0.142 \tabularnewline
Q5 & 0.022 & 0.726 & 0.036 & 0.208 \tabularnewline
Q6 & 0.235 & 0.427 & 0.368 & 0.202 \tabularnewline
Q7 & 0.002 & 0.25 & 0.342 & 0.385 \tabularnewline
Q8 & -0.023 & 0.306 & 0.534 & 0.337 \tabularnewline
Q9 & 0.413 & -0.081 & 0.68 & 0.124 \tabularnewline
Q10 & 0.787 & 0.128 & 0.113 & 0.164 \tabularnewline
Q11 & 0.636 & 0.453 & -0.307 & 0.002 \tabularnewline
Q12 & 0.763 & 0.128 & 0.028 & 0.092 \tabularnewline
Q13 & 0.641 & 0.062 & 0.224 & -0.067 \tabularnewline
Q14 & 0.185 & -0.018 & 0.025 & 0.515 \tabularnewline
Q15 & 0.642 & -0.041 & 0.419 & 0.224 \tabularnewline
Q16 & 0.136 & 0.184 & 0.034 & 0.791 \tabularnewline
Q17 & 0.28 & -0.097 & 0.149 & 0.231 \tabularnewline
Q18 & -0.047 & 0.356 & 0.029 & 0.722 \tabularnewline
Q19 & 0.55 & -0.281 & 0.323 & 0.335 \tabularnewline
Q20 & 0.119 & 0.298 & 0.744 & -0.001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166646&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][/ROW]
[ROW][C]Q1[/C][C]0.198[/C][C]0.677[/C][C]0.161[/C][C]-0.12[/C][/ROW]
[ROW][C]Q2[/C][C]0.002[/C][C]0.653[/C][C]0.006[/C][C]0.153[/C][/ROW]
[ROW][C]Q3[/C][C]-0.064[/C][C]0.7[/C][C]0.398[/C][C]0.202[/C][/ROW]
[ROW][C]Q4[/C][C]0.353[/C][C]0.05[/C][C]0.47[/C][C]-0.142[/C][/ROW]
[ROW][C]Q5[/C][C]0.022[/C][C]0.726[/C][C]0.036[/C][C]0.208[/C][/ROW]
[ROW][C]Q6[/C][C]0.235[/C][C]0.427[/C][C]0.368[/C][C]0.202[/C][/ROW]
[ROW][C]Q7[/C][C]0.002[/C][C]0.25[/C][C]0.342[/C][C]0.385[/C][/ROW]
[ROW][C]Q8[/C][C]-0.023[/C][C]0.306[/C][C]0.534[/C][C]0.337[/C][/ROW]
[ROW][C]Q9[/C][C]0.413[/C][C]-0.081[/C][C]0.68[/C][C]0.124[/C][/ROW]
[ROW][C]Q10[/C][C]0.787[/C][C]0.128[/C][C]0.113[/C][C]0.164[/C][/ROW]
[ROW][C]Q11[/C][C]0.636[/C][C]0.453[/C][C]-0.307[/C][C]0.002[/C][/ROW]
[ROW][C]Q12[/C][C]0.763[/C][C]0.128[/C][C]0.028[/C][C]0.092[/C][/ROW]
[ROW][C]Q13[/C][C]0.641[/C][C]0.062[/C][C]0.224[/C][C]-0.067[/C][/ROW]
[ROW][C]Q14[/C][C]0.185[/C][C]-0.018[/C][C]0.025[/C][C]0.515[/C][/ROW]
[ROW][C]Q15[/C][C]0.642[/C][C]-0.041[/C][C]0.419[/C][C]0.224[/C][/ROW]
[ROW][C]Q16[/C][C]0.136[/C][C]0.184[/C][C]0.034[/C][C]0.791[/C][/ROW]
[ROW][C]Q17[/C][C]0.28[/C][C]-0.097[/C][C]0.149[/C][C]0.231[/C][/ROW]
[ROW][C]Q18[/C][C]-0.047[/C][C]0.356[/C][C]0.029[/C][C]0.722[/C][/ROW]
[ROW][C]Q19[/C][C]0.55[/C][C]-0.281[/C][C]0.323[/C][C]0.335[/C][/ROW]
[ROW][C]Q20[/C][C]0.119[/C][C]0.298[/C][C]0.744[/C][C]-0.001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166646&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166646&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
Variables	Factor1	Factor2	Factor3	Factor4
Q1	0.198	0.677	0.161	-0.12
Q2	0.002	0.653	0.006	0.153
Q3	-0.064	0.7	0.398	0.202
Q4	0.353	0.05	0.47	-0.142
Q5	0.022	0.726	0.036	0.208
Q6	0.235	0.427	0.368	0.202
Q7	0.002	0.25	0.342	0.385
Q8	-0.023	0.306	0.534	0.337
Q9	0.413	-0.081	0.68	0.124
Q10	0.787	0.128	0.113	0.164
Q11	0.636	0.453	-0.307	0.002
Q12	0.763	0.128	0.028	0.092
Q13	0.641	0.062	0.224	-0.067
Q14	0.185	-0.018	0.025	0.515
Q15	0.642	-0.041	0.419	0.224
Q16	0.136	0.184	0.034	0.791
Q17	0.28	-0.097	0.149	0.231
Q18	-0.047	0.356	0.029	0.722
Q19	0.55	-0.281	0.323	0.335
Q20	0.119	0.298	0.744	-0.001

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

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

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]
y
fit <- principal(y, nfactors=par1, rotate='varimax')
fit
fs <- factor.scores(y,fit)
fs
bitmap(file='test1.png')
fa.diagram(fit)
dev.off()
bitmap(file='test2.png')
plot(fs,pch=20)
text(fs,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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code