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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationFri, 01 Apr 2022 11:34:16 +0200
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/Apr/01/t1648805993db2rv5uqb9uegw8.htm/, Retrieved Sun, 19 May 2024 06:29:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 19 May 2024 06:29:33 +0200
QR Codes:

Original text written by user:
IsPrivate?This computation is private
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'NE'	567110	-162956 2883	30 -6739631 7733303
'UK' 1754229 -421949 19279	67 -1342951	8456116
'GAM' 1383162	-334742 16471 4572 -7086486 12405129
'SEM'	605783	-230948 3474	3368	-2790434	6331769
'CE' 765338	-229094 13075	112	-4300894	10328311

Tables (Output of Computation)





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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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] [ROW]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Rotated Factor Loadings
VariablesFactor1Factor2Factor3Factor4
System_Events0.9870.0630.020.148
Impersonations-0.952-0.257-0.116-0.123
Access_TG0.8310.106-0.0680.542
PM_FS_TG0.046-0.1380.9860.076
API_AP_Rev0.2920.919-0.164-0.209
Total_Rev 0.348-0.4550.1650.803

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 & Factor3 & Factor4 \tabularnewline
System_Events & 0.987 & 0.063 & 0.02 & 0.148 \tabularnewline
Impersonations & -0.952 & -0.257 & -0.116 & -0.123 \tabularnewline
Access_TG & 0.831 & 0.106 & -0.068 & 0.542 \tabularnewline
PM_FS_TG & 0.046 & -0.138 & 0.986 & 0.076 \tabularnewline
API_AP_Rev & 0.292 & 0.919 & -0.164 & -0.209 \tabularnewline
Total_Rev
 & 0.348 & -0.455 & 0.165 & 0.803 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]System_Events[/C][C]0.987[/C][C]0.063[/C][C]0.02[/C][C]0.148[/C][/ROW]
[ROW][C]Impersonations[/C][C]-0.952[/C][C]-0.257[/C][C]-0.116[/C][C]-0.123[/C][/ROW]
[ROW][C]Access_TG[/C][C]0.831[/C][C]0.106[/C][C]-0.068[/C][C]0.542[/C][/ROW]
[ROW][C]PM_FS_TG[/C][C]0.046[/C][C]-0.138[/C][C]0.986[/C][C]0.076[/C][/ROW]
[ROW][C]API_AP_Rev[/C][C]0.292[/C][C]0.919[/C][C]-0.164[/C][C]-0.209[/C][/ROW]
[ROW][C]Total_Rev
[/C][C]0.348[/C][C]-0.455[/C][C]0.165[/C][C]0.803[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
VariablesFactor1Factor2Factor3Factor4
System_Events0.9870.0630.020.148
Impersonations-0.952-0.257-0.116-0.123
Access_TG0.8310.106-0.0680.542
PM_FS_TG0.046-0.1380.9860.076
API_AP_Rev0.2920.919-0.164-0.209
Total_Rev 0.348-0.4550.1650.803


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ;
Parameters (R input):
par1 = 4 ;
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')