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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationFri, 20 Nov 2015 02:56:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Nov/20/t1447988230z6plu1jmpf63tv2.htm/, Retrieved Wed, 13 May 2026 13:18:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283697, Retrieved Wed, 13 May 2026 13:18:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact408

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Factor Analysis] [] [2015-11-20 02:56:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.31 0.33 0.50 0.00 0.25 0.00 0.00 0.33 0.25 0.50 1.00 0.33 0.33 1.00 1.00 0.00 0.00
0.57 0.66 0.50 0.00 0.66 0.75 0.33 0.75 0.75 0.50 0.75 0.66 0.33 0.66 0.66 0.33 0.33
0.52 0.66 0.50 0.75 0.25 0.25 0.33 0.75 0.50 0.50 0.33 0.33 0.75 1.00 0.75 0.33 0.75
0.47 0.33 0.50 0.00 0.25 0.50 0.66 0.66 0.50 0.50 0.66 0.33 0.66 0.33 0.66 0.33 0.00
0.67 0.66 1.00 0.66 0.66 0.75 0.66 0.66 0.75 1.00 0.66 0.33 0.66 0.33 0.66 0.66 0.66
0.62 0.66 1.00 0.66 0.66 0.50 0.66 0.66 0.75 1.00 0.66 0.33 0.66 0.33 0.66 0.33 0.33
0.74 1.00 1.00 0.66 0.66 0.75 0.66 0.66 0.75 1.00 1.00 0.66 0.66 0.33 0.66 0.66 1.00
0.71 1.00 0.00 1.00 1.00 0.75 0.66 0.66 0.75 1.00 1.00 0.66 0.66 0.33 0.66 0.66 0.66
0.79 1.00 1.00 1.00 1.00 1.00 0.66 0.66 1.00 0.00 1.00 1.00 1.00 0.33 0.66 1.00 1.00
0.66 0.66 1.00 0.66 0.66 0.75 0.66 0.66 0.75 0.50 0.66 0.33 0.33 0.66 1.00 0.66 0.66
0.74 0.66 1.00 1.00 1.00 1.00 0.66 0.66 1.00 1.00 0.66 0.66 0.66 0.33 0.66 0.66 0.66
0.65 0.66 1.00 1.00 0.66 1.00 0.66 0.25 0.75 0.50 0.66 0.66 0.66 0.66 0.66 0.66 0.33
0.55 0.66 1.00 0.66 0.66 0.75 0.66 0.75 0.50 0.50 0.33 0.33 0.33 0.33 0.66 0.33 0.33
0.45 0.25 0.50 0.66 0.33 0.50 0.33 0.66 0.50 0.50 0.66 0.66 0.33 0.66 0.33 0.33 0.33
0.32 0.33 0.50 0.33 0.33 0.00 0.33 0.33 0.33 0.50 1.00 0.00 0.00 1.00 0.33 0.00 0.00
0.35 0.33 0.50 0.33 0.33 0.33 0.33 0.33 0.33 0.50 1.00 0.33 0.33 0.66 0.33 0.00 0.00
0.32 0.33 1.00 0.33 0.33 0.00 0.33 0.33 0.25 0.50 0.66 0.00 0.33 0.66 0.33 0.00 0.00
0.39 0.33 1.00 0.33 0.33 0.25 0.33 0.33 0.25 0.50 0.66 0.33 0.33 0.66 0.66 0.33 0.00
0.40 0.33 0.00 0.66 0.33 0.25 0.33 0.33 0.50 0.50 0.66 0.66 0.33 0.66 0.66 0.33 0.00
0.36 0.33 0.50 0.33 0.33 0.00 0.33 0.33 0.25 0.50 1.00 0.00 0.33 1.00 0.33 0.33 0.00
0.32 0.25 0.50 0.33 0.33 0.00 0.33 0.33 0.25 0.00 1.00 0.33 0.33 0.66 0.33 0.33 0.00
0.31 0.25 0.50 0.66 0.33 0.33 0.00 0.33 0.25 0.50 1.00 0.33 0.33 1.00 0.33 0.00 0.00
0.22 0.00 0.50 0.33 0.00 0.00 0.00 0.33 0.25 0.50 1.00 0.00 0.33 1.00 0.00 0.00 0.00
0.37 0.33 0.50 0.66 0.00 0.33 0.33 0.33 0.50 0.50 0.66 0.33 0.33 1.00 0.33 0.00 0.00
0.21 0.00 0.50 0.33 0.00 0.00 0.00 0.00 0.33 0.50 0.66 0.33 0.00 1.00 0.00 0.33 0.00
0.19 0.00 0.50 0.00 0.00 0.00 0.00 0.33 0.33 0.00 0.66 0.33 0.00 1.00 0.00 0.33 0.00
0.19 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.25 0.50 1.00 0.33 0.00 0.66 0.33 0.00 0.00
0.17 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.25 0.50 1.00 0.33 0.00 0.66 0.00 0.00 0.00
0.19 0.00 0.00 0.00 0.33 0.00 0.00 0.33 0.25 0.50 1.00 0.00 0.00 0.66 0.33 0.00 0.00
0.18 0.00 0.50 0.00 0.33 0.00 0.00 0.33 0.25 0.00 1.00 0.00 0.00 0.66 0.33 0.00 0.00
0.32 0.33 0.50 0.33 0.00 0.00 0.33 0.33 0.25 0.50 1.00 0.33 0.33 0.66 0.33 0.00 0.00
0.38 0.33 0.50 0.33 0.00 0.00 0.33 0.33 0.25 0.50 1.00 0.66 0.33 0.66 0.66 0.00 0.33
0.44 0.33 0.50 0.33 0.33 0.00 0.33 0.33 0.25 0.50 1.00 0.66 0.33 1.00 0.66 0.33 0.33
0.42 0.33 0.50 0.33 0.00 0.00 0.33 0.33 0.25 0.50 1.00 0.66 0.33 1.00 0.66 0.33 0.33
0.43 0.33 0.50 0.33 0.33 0.00 0.33 0.33 0.25 0.50 1.00 0.66 0.66 1.00 0.66 0.33 0.00
0.46 0.33 0.50 0.66 0.33 0.00 0.33 0.33 0.50 0.50 1.00 0.66 0.66 1.00 0.66 0.33 0.00
0.46 0.33 0.50 0.66 0.00 0.25 0.33 0.33 0.50 0.50 1.00 0.66 0.66 1.00 0.66 0.33 0.00
0.53 0.66 0.50 0.33 0.00 0.25 0.33 0.66 0.50 0.50 1.00 1.00 1.00 1.00 0.66 0.33 0.33
0.51 0.66 0.50 0.33 0.00 0.25 0.33 0.33 0.50 0.50 1.00 1.00 1.00 1.00 0.66 0.33 0.33
0.51 0.66 0.50 0.33 0.00 0.25 0.33 0.00 0.50 0.50 1.00 1.00 1.00 1.00 0.66 0.33 0.66
0.50 0.33 0.00 0.33 0.00 0.00 0.33 0.33 0.33 0.50 1.00 1.00 1.00 1.00 1.00 0.33 0.66
0.59 0.66 0.50 0.66 0.33 0.25 0.33 0.33 0.50 0.50 1.00 1.00 1.00 0.66 1.00 0.66 0.66
0.59 0.66 0.50 0.66 0.33 0.25 0.33 0.66 0.50 0.50 1.00 1.00 0.66 1.00 1.00 0.66 0.33
0.60 0.33 1.00 0.66 0.33 0.25 0.33 0.66 0.50 0.50 1.00 1.00 0.66 0.66 1.00 0.66 0.66
0.60 0.33 0.50 0.66 0.33 0.25 0.33 0.66 0.75 0.50 1.00 1.00 0.66 0.66 1.00 0.66 0.66
0.60 0.33 0.50 0.66 0.33 0.25 0.33 0.66 0.75 0.50 1.00 1.00 0.66 0.66 1.00 0.66 0.66
0.64 0.33 0.50 0.66 0.33 0.25 0.66 0.33 0.50 0.50 1.00 1.00 0.66 1.00 1.00 0.66 0.66
0.76 0.33 1.00 0.66 0.66 0.50 0.66 0.66 0.75 0.50 1.00 1.00 1.00 1.00 1.00 0.66 1.00
0.77 0.33 0.00 0.66 0.66 0.75 0.66 0.66 0.75 1.00 1.00 1.00 1.00 1.00 1.00 0.66 1.00
0.80 0.33 1.00 0.66 0.66 0.50 0.66 0.66 0.75 1.00 1.00 1.00 1.00 1.00 1.00 0.66 1.00
0.95 0.33 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.66 1.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283697&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283697&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Rotated Factor Loadings
VariablesFactor1Factor2
20.5030.558
30.1660.611
40.5950.524
50.3820.78
60.4450.809
70.6030.656
80.4450.617
90.6520.654
100.380.401
110.356-0.614
120.914-0.124
130.8920.096
140.154-0.731
150.830.108
160.7740.418
0.8320.34

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 \tabularnewline
2 & 0.503 & 0.558 \tabularnewline
3 & 0.166 & 0.611 \tabularnewline
4 & 0.595 & 0.524 \tabularnewline
5 & 0.382 & 0.78 \tabularnewline
6 & 0.445 & 0.809 \tabularnewline
7 & 0.603 & 0.656 \tabularnewline
8 & 0.445 & 0.617 \tabularnewline
9 & 0.652 & 0.654 \tabularnewline
10 & 0.38 & 0.401 \tabularnewline
11 & 0.356 & -0.614 \tabularnewline
12 & 0.914 & -0.124 \tabularnewline
13 & 0.892 & 0.096 \tabularnewline
14 & 0.154 & -0.731 \tabularnewline
15 & 0.83 & 0.108 \tabularnewline
16 & 0.774 & 0.418 \tabularnewline
 & 0.832 & 0.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283697&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][/ROW]
[ROW][C]2[/C][C]0.503[/C][C]0.558[/C][/ROW]
[ROW][C]3[/C][C]0.166[/C][C]0.611[/C][/ROW]
[ROW][C]4[/C][C]0.595[/C][C]0.524[/C][/ROW]
[ROW][C]5[/C][C]0.382[/C][C]0.78[/C][/ROW]
[ROW][C]6[/C][C]0.445[/C][C]0.809[/C][/ROW]
[ROW][C]7[/C][C]0.603[/C][C]0.656[/C][/ROW]
[ROW][C]8[/C][C]0.445[/C][C]0.617[/C][/ROW]
[ROW][C]9[/C][C]0.652[/C][C]0.654[/C][/ROW]
[ROW][C]10[/C][C]0.38[/C][C]0.401[/C][/ROW]
[ROW][C]11[/C][C]0.356[/C][C]-0.614[/C][/ROW]
[ROW][C]12[/C][C]0.914[/C][C]-0.124[/C][/ROW]
[ROW][C]13[/C][C]0.892[/C][C]0.096[/C][/ROW]
[ROW][C]14[/C][C]0.154[/C][C]-0.731[/C][/ROW]
[ROW][C]15[/C][C]0.83[/C][C]0.108[/C][/ROW]
[ROW][C]16[/C][C]0.774[/C][C]0.418[/C][/ROW]
[ROW][C][/C][C]0.832[/C][C]0.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283697&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Rotated Factor Loadings
VariablesFactor1Factor2
20.5030.558
30.1660.611
40.5950.524
50.3820.78
60.4450.809
70.6030.656
80.4450.617
90.6520.654
100.380.401
110.356-0.614
120.914-0.124
130.8920.096
140.154-0.731
150.830.108
160.7740.418
0.8320.34


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ;
Parameters (R input):
par1 = 2 ;
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='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')