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Author's title

Author*Unverified author*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationMon, 21 Mar 2022 17:31:46 +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/2022/Mar/21/t16478804041o50rhobh7b0wpu.htm/, Retrieved Wed, 27 May 2026 07:23:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319661, Retrieved Wed, 27 May 2026 07:23:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact322
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Factor Analysis] [speaker 1] [2022-03-21 16:31:46] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4	3	3	3	4	3	3	4
3	2	2	1	4	2	2	2
5	4	3	5	4	4	5	5
4	3	4	4	3	4	4	4
4	4	3	3	4	3	2	3
4	1	4	3	3	3	3	3
4	1	2	3	4	2	4	4
4	4	3	3	3	2	4	4
3	2	3	4	5	5	5	5
4	3	3	3	3	4	3	2
4	3	3	4	4	4	4	4
3	2	2	2	4	1	1	1
4	3	4	3	5	2	3	2
3	4	5	3	4	4	3	3
4	4	2	4	4	3	4	4
4	4	3	3	4	4	4	5
4	4	3	4	4	5	5	4
3	4	2	2	2	3	1	1
4	4	4	3	4	4	3	4
4	3	3	4	4	4	4	5
4	3	2	4	3	3	4	4
4	4	4	4	4	5	3	5
3	2	1	3	3	2	3	3
5	3	3	3	4	3	2	3
4	4	3	4	4	4	4	4
5	5	4	5	5	5	5	3
4	2	2	4	3	2	4	5
4	2	1	3	4	3	2	3
4	3	3	5	4	2	3	4
4	3	3	3	4	3	3	3
3	4	5	2	3	4	2	3
4	3	3	4	4	5	4	4
4	2	3	3	4	4	3	5
4	3	2	3	3	3	3	3
4	3	2	4	4	4	4	3
4	3	3	4	3	3	4	3
5	5	2	4	5	5	5	5
3	2	2	5	5	3	5	5
4	3	2	4	3	3	5	3
5	2	3	3	5	3	4	4
3	1	1	4	3	2	3	3
4	2	2	4	3	3	4	3




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319661&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319661&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319661&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







Rotated Factor Loadings
VariablesFactor1
V20.476
V30.346
V40.755
V50.53
V60.763
V70.819
V80.776

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 \tabularnewline
V2 & 0.476 \tabularnewline
V3 & 0.346 \tabularnewline
V4 & 0.755 \tabularnewline
V5 & 0.53 \tabularnewline
V6 & 0.763 \tabularnewline
V7 & 0.819 \tabularnewline
V8 & 0.776 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319661&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][/ROW]
[ROW][C]V2[/C][C]0.476[/C][/ROW]
[ROW][C]V3[/C][C]0.346[/C][/ROW]
[ROW][C]V4[/C][C]0.755[/C][/ROW]
[ROW][C]V5[/C][C]0.53[/C][/ROW]
[ROW][C]V6[/C][C]0.763[/C][/ROW]
[ROW][C]V7[/C][C]0.819[/C][/ROW]
[ROW][C]V8[/C][C]0.776[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319661&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319661&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
VariablesFactor1
V20.476
V30.346
V40.755
V50.53
V60.763
V70.819
V80.776



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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]
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')