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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 computationThu, 19 Nov 2015 17:48:59 +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/19/t1447956156u8tyai4gkwgduzw.htm/, Retrieved Tue, 14 May 2024 15:34:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283669, Retrieved Tue, 14 May 2024 15:34:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Factor Analysis] [Componentes Princ...] [2015-11-19 17:48:59] [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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283669&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283669&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'George Udny Yule' @ yule.wessa.net






Rotated Factor Loadings
VariablesFactor1Factor2
10.5030.558
20.1660.611
30.5950.524
40.3820.78
50.4450.809
60.6030.656
70.4450.617
80.6520.654
90.380.401
100.356-0.614
110.914-0.124
120.8920.096
130.154-0.731
140.830.108
150.7740.418
160.8320.34

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 \tabularnewline
1 & 0.503 & 0.558 \tabularnewline
2 & 0.166 & 0.611 \tabularnewline
3 & 0.595 & 0.524 \tabularnewline
4 & 0.382 & 0.78 \tabularnewline
5 & 0.445 & 0.809 \tabularnewline
6 & 0.603 & 0.656 \tabularnewline
7 & 0.445 & 0.617 \tabularnewline
8 & 0.652 & 0.654 \tabularnewline
9 & 0.38 & 0.401 \tabularnewline
10 & 0.356 & -0.614 \tabularnewline
11 & 0.914 & -0.124 \tabularnewline
12 & 0.892 & 0.096 \tabularnewline
13 & 0.154 & -0.731 \tabularnewline
14 & 0.83 & 0.108 \tabularnewline
15 & 0.774 & 0.418 \tabularnewline
16 & 0.832 & 0.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283669&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][/ROW]
[ROW][C]1[/C][C]0.503[/C][C]0.558[/C][/ROW]
[ROW][C]2[/C][C]0.166[/C][C]0.611[/C][/ROW]
[ROW][C]3[/C][C]0.595[/C][C]0.524[/C][/ROW]
[ROW][C]4[/C][C]0.382[/C][C]0.78[/C][/ROW]
[ROW][C]5[/C][C]0.445[/C][C]0.809[/C][/ROW]
[ROW][C]6[/C][C]0.603[/C][C]0.656[/C][/ROW]
[ROW][C]7[/C][C]0.445[/C][C]0.617[/C][/ROW]
[ROW][C]8[/C][C]0.652[/C][C]0.654[/C][/ROW]
[ROW][C]9[/C][C]0.38[/C][C]0.401[/C][/ROW]
[ROW][C]10[/C][C]0.356[/C][C]-0.614[/C][/ROW]
[ROW][C]11[/C][C]0.914[/C][C]-0.124[/C][/ROW]
[ROW][C]12[/C][C]0.892[/C][C]0.096[/C][/ROW]
[ROW][C]13[/C][C]0.154[/C][C]-0.731[/C][/ROW]
[ROW][C]14[/C][C]0.83[/C][C]0.108[/C][/ROW]
[ROW][C]15[/C][C]0.774[/C][C]0.418[/C][/ROW]
[ROW][C]16[/C][C]0.832[/C][C]0.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283669&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
10.5030.558
20.1660.611
30.5950.524
40.3820.78
50.4450.809
60.6030.656
70.4450.617
80.6520.654
90.380.401
100.356-0.614
110.914-0.124
120.8920.096
130.154-0.731
140.830.108
150.7740.418
160.8320.34


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):
par1 <- '2'
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')