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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_factor_analysisdm.wasp

Title produced by software

Factor Analysis

Date of computation

Tue, 01 May 2012 06:38:26 -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/01/t1335868739li7hnzlplnjf6x2.htm/, Retrieved Sat, 04 May 2024 08:33:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165415, Retrieved Sat, 04 May 2024 08:33:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Factor Analysis] [factor analysis] [2012-05-01 10:38:26] [242bbde8f74d68805b56d9ecebfdbe63] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165415&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165415&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165415&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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Rotated Factor Loadings
Variables	Factor1	Factor2
X1	0.186	0.339
X2	0.599	-0.276
X3	0.436	0.014
X4	-0.519	-0.005
X5	0.203	-0.471
X6	-0.291	-0.002
X7	-0.019	-0.411
X8	0.072	-0.207
X9	0.658	0.014
X10	0.265	0.264
X11	0.322	0.126
X12	0.344	-0.069
X13	-0.04	0.546
X14	0.281	0.385
X15	0.526	-0.081
X16	0.127	0.744
X17	0.048	-0.297
X18	-0.25	-0.048

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 \tabularnewline
X1 & 0.186 & 0.339 \tabularnewline
X2 & 0.599 & -0.276 \tabularnewline
X3 & 0.436 & 0.014 \tabularnewline
X4 & -0.519 & -0.005 \tabularnewline
X5 & 0.203 & -0.471 \tabularnewline
X6 & -0.291 & -0.002 \tabularnewline
X7 & -0.019 & -0.411 \tabularnewline
X8 & 0.072 & -0.207 \tabularnewline
X9 & 0.658 & 0.014 \tabularnewline
X10 & 0.265 & 0.264 \tabularnewline
X11 & 0.322 & 0.126 \tabularnewline
X12 & 0.344 & -0.069 \tabularnewline
X13 & -0.04 & 0.546 \tabularnewline
X14 & 0.281 & 0.385 \tabularnewline
X15 & 0.526 & -0.081 \tabularnewline
X16 & 0.127 & 0.744 \tabularnewline
X17 & 0.048 & -0.297 \tabularnewline
X18 & -0.25 & -0.048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165415&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][/ROW]
[ROW][C]X1[/C][C]0.186[/C][C]0.339[/C][/ROW]
[ROW][C]X2[/C][C]0.599[/C][C]-0.276[/C][/ROW]
[ROW][C]X3[/C][C]0.436[/C][C]0.014[/C][/ROW]
[ROW][C]X4[/C][C]-0.519[/C][C]-0.005[/C][/ROW]
[ROW][C]X5[/C][C]0.203[/C][C]-0.471[/C][/ROW]
[ROW][C]X6[/C][C]-0.291[/C][C]-0.002[/C][/ROW]
[ROW][C]X7[/C][C]-0.019[/C][C]-0.411[/C][/ROW]
[ROW][C]X8[/C][C]0.072[/C][C]-0.207[/C][/ROW]
[ROW][C]X9[/C][C]0.658[/C][C]0.014[/C][/ROW]
[ROW][C]X10[/C][C]0.265[/C][C]0.264[/C][/ROW]
[ROW][C]X11[/C][C]0.322[/C][C]0.126[/C][/ROW]
[ROW][C]X12[/C][C]0.344[/C][C]-0.069[/C][/ROW]
[ROW][C]X13[/C][C]-0.04[/C][C]0.546[/C][/ROW]
[ROW][C]X14[/C][C]0.281[/C][C]0.385[/C][/ROW]
[ROW][C]X15[/C][C]0.526[/C][C]-0.081[/C][/ROW]
[ROW][C]X16[/C][C]0.127[/C][C]0.744[/C][/ROW]
[ROW][C]X17[/C][C]0.048[/C][C]-0.297[/C][/ROW]
[ROW][C]X18[/C][C]-0.25[/C][C]-0.048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165415&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165415&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
X1	0.186	0.339
X2	0.599	-0.276
X3	0.436	0.014
X4	-0.519	-0.005
X5	0.203	-0.471
X6	-0.291	-0.002
X7	-0.019	-0.411
X8	0.072	-0.207
X9	0.658	0.014
X10	0.265	0.264
X11	0.322	0.126
X12	0.344	-0.069
X13	-0.04	0.546
X14	0.281	0.385
X15	0.526	-0.081
X16	0.127	0.744
X17	0.048	-0.297
X18	-0.25	-0.048

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = correlation matrix ; par2 = ATTLES separate ; par3 = Exam Items ; par4 = all ; par5 = bachelor ; par6 = 0 ;

Parameters (R input):

par1 = 2 ; par2 = male ; par3 = bachelor ; par4 = 3 ; par5 = Exam Items ;

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

library(psych)
x <- as.data.frame(read.table(file='https://automated.biganalytics.eu/download/utaut.csv',sep=',',header=T))
x$U25 <- 6-x$U25
if(par2 == 'female') x <- x[x$Gender==0,]
if(par2 == 'male') x <- x[x$Gender==1,]
if(par3 == 'prep') x <- x[x$Pop==1,]
if(par3 == 'bachelor') x <- x[x$Pop==0,]
if(par4 != 'all') {
x <- x[x$Year==as.numeric(par4),]
}
cAc <- with(x,cbind( A1, A2, A3, A4, A5, A6, A7, A8, A9,A10))
cAs <- with(x,cbind(A11,A12,A13,A14,A15,A16,A17,A18,A19,A20))
cA <- cbind(cAc,cAs)
cCa <- with(x,cbind(C1,C3,C5,C7, C9,C11,C13,C15,C17,C19,C21,C23,C25,C27,C29,C31,C33,C35,C37,C39,C41,C43,C45,C47))
cCp <- with(x,cbind(C2,C4,C6,C8,C10,C12,C14,C16,C18,C20,C22,C24,C26,C28,C30,C32,C34,C36,C38,C40,C42,C44,C46,C48))
cC <- cbind(cCa,cCp)
cU <- with(x,cbind(U1,U2,U3,U4,U5,U6,U7,U8,U9,U10,U11,U12,U13,U14,U15,U16,U17,U18,U19,U20,U21,U22,U23,U24,U25,U26,U27,U28,U29,U30,U31,U32,U33))
cE <- with(x,cbind(BC,NNZFG,MRT,AFL,LPM,LPC,W,WPA))
cX <- with(x,cbind(X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18))
if (par5=='ATTLES connected') x <- cAc
if (par5=='ATTLES separate') x <- cAs
if (par5=='ATTLES all') x <- cA
if (par5=='COLLES actuals') x <- cCa
if (par5=='COLLES preferred') x <- cCp
if (par5=='COLLES all') x <- cC
if (par5=='CSUQ') x <- cU
if (par5=='Learning Activities') x <- cE
if (par5=='Exam Items') x <- cX
ncol <- length(x[1,])
for (jjj in 1:ncol) {
x <- x[!is.na(x[,jjj]),]
}
par1 <- as.numeric(par1)
nrows <- length(x[,1])
rownames(x) <- 1:nrows
y <- x
fit <- principal(y, nfactors=par1, rotate='varimax')
fit
fs <- factor.scores(y,fit)
fs
bitmap(file='test1.png')
fa.diagram(fit)
dev.off()
bitmap(file='test2.png')
plot(fs,pch=20)
text(fs,labels=rownames(y),pos=3)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Rotated Factor Loadings',par1+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variables',1,TRUE)
for (i in 1:par1) {
a<-table.element(a,paste('Factor',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (j in 1:length(fit$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