Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationMon, 22 Aug 2016 13:07:29 +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/2016/Aug/22/t1471867706jm3qgo1niz9vy6z.htm/, Retrieved Mon, 29 Apr 2024 01:12:47 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 29 Apr 2024 01:12:47 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
0.5	0.47	0.46	0.47	0.43	0.47	0.48	0.6	0.53	0.47	0.58	0.53	0.56	0.48	0.52	0.53	0.59	0.52	0.55	0.54	0.56	0.62	0.46	0.53	0.55	0.54	0.58
0.53	0.5	0.43	0.55	0.42	0.49	0.49	0.67	0.54	0.55	0.52	0.75	0.65	0.43	0.66	0.62	0.47	0.53	0.6	0.66	0.47	0.67	0.4	0.62	0.34	0.65	0.39
0.54	0.57	0.5	0.46	0.49	0.55	0.53	0.5	0.54	0.43	0.49	0.44	0.55	0.5	0.56	0.38	0.55	0.58	0.62	0.49	0.58	0.44	0.58	0.51	0.55	0.32	0.66
0.53	0.45	0.54	0.5	0.57	0.48	0.53	0.59	0.48	0.45	0.56	0.54	0.48	0.43	0.49	0.61	0.59	0.53	0.63	0.46	0.54	0.62	0.56	0.59	0.55	0.39	0.42
0.57	0.58	0.51	0.43	0.5	0.57	0.49	0.55	0.61	0.48	0.66	0.53	0.52	0.58	0.58	0.6	0.56	0.59	0.71	0.47	0.52	0.65	0.56	0.52	0.71	0.47	0.51
0.53	0.51	0.45	0.52	0.43	0.5	0.49	0.59	0.54	0.47	0.5	0.52	0.66	0.51	0.59	0.57	0.5	0.57	0.62	0.59	0.47	0.65	0.49	0.56	0.46	0.49	0.54
0.52	0.51	0.47	0.47	0.51	0.51	0.5	0.56	0.52	0.47	0.45	0.53	0.52	0.5	0.51	0.57	0.62	0.54	0.6	0.47	0.49	0.51	0.52	0.48	0.57	0.54	0.49
0.4	0.33	0.5	0.41	0.45	0.41	0.44	0.5	0.44	0.39	0.4	0.54	0.55	0.46	0.43	0.45	0.42	0.44	0.46	0.41	0.42	0.52	0.53	0.45	0.46	0.67	0.49
0.47	0.46	0.46	0.52	0.39	0.46	0.48	0.56	0.5	0.51	0.56	0.61	0.54	0.42	0.55	0.62	0.44	0.46	0.66	0.56	0.39	0.48	0.42	0.62	0.37	0.45	0.44
0.53	0.45	0.57	0.55	0.52	0.53	0.53	0.61	0.49	0.5	0.5	0.58	0.47	0.56	0.41	0.63	0.62	0.57	0.58	0.46	0.52	0.8	0.46	0.59	0.41	0.72	0.64
0.42	0.48	0.51	0.44	0.34	0.5	0.55	0.6	0.44	0.5	0.5	0.56	0.66	0.49	0.5	0.53	0.58	0.51	0.56	0.6	0.51	0.49	0.51	0.57	0.4	0.65	0.61
0.47	0.25	0.56	0.46	0.47	0.48	0.47	0.46	0.39	0.42	0.44	0.5	0.5	0.43	0.37	0.68	0.51	0.41	0.52	0.33	0.44	0.62	0.61	0.57	0.49	0.57	0.49
0.44	0.35	0.45	0.52	0.48	0.34	0.48	0.45	0.46	0.53	0.34	0.5	0.5	0.43	0.41	0.45	0.55	0.6	0.35	0.48	0.43	0.37	0.55	0.68	0.51	0.68	0.39
0.52	0.57	0.5	0.57	0.42	0.49	0.5	0.54	0.58	0.44	0.51	0.57	0.57	0.5	0.69	0.6	0.47	0.43	0.63	0.69	0.54	0.65	0.48	0.54	0.42	0.57	0.27
0.48	0.34	0.44	0.51	0.42	0.41	0.49	0.57	0.45	0.59	0.5	0.63	0.59	0.31	0.5	0.53	0.46	0.63	0.55	0.42	0.47	0.43	0.62	0.62	0.5	0.94	0.56
0.47	0.38	0.62	0.39	0.4	0.43	0.43	0.55	0.38	0.37	0.47	0.32	0.55	0.4	0.47	0.5	0.38	0.39	0.55	0.58	0.54	0.23	0.37	0.53	0.43	0.44	0.58
0.41	0.53	0.45	0.41	0.44	0.5	0.38	0.58	0.56	0.38	0.42	0.49	0.45	0.53	0.54	0.62	0.5	0.4	0.51	0.53	0.48	0.64	0.49	0.5	0.73	0.55	0.48
0.48	0.47	0.42	0.47	0.41	0.43	0.46	0.56	0.54	0.43	0.49	0.59	0.4	0.57	0.37	0.61	0.6	0.5	0.5	0.48	0.6	0.79	0.52	0.56	0.58	0.48	0.39
0.45	0.4	0.38	0.37	0.29	0.38	0.4	0.54	0.34	0.42	0.44	0.48	0.65	0.37	0.45	0.45	0.49	0.5	0.5	0.7	0.44	0.4	0.55	0.5	0.32	0.3	0.46
0.46	0.34	0.51	0.54	0.53	0.41	0.53	0.59	0.44	0.54	0.4	0.67	0.52	0.31	0.58	0.42	0.47	0.52	0.3	0.5	0.37	0.52	0.47	0.55	0.45	0.68	0.29
0.44	0.53	0.42	0.46	0.48	0.53	0.51	0.58	0.61	0.48	0.49	0.56	0.57	0.46	0.53	0.46	0.52	0.4	0.56	0.63	0.5	0.39	0.64	0.43	0.62	0.39	0.64
0.38	0.33	0.56	0.38	0.35	0.35	0.49	0.48	0.52	0.2	0.51	0.38	0.63	0.35	0.57	0.77	0.36	0.21	0.6	0.48	0.61	0.5	0.5	0.52	0.5	0.71	0.7
0.54	0.6	0.42	0.44	0.44	0.51	0.48	0.47	0.58	0.54	0.49	0.39	0.45	0.52	0.38	0.63	0.51	0.48	0.45	0.53	0.36	0.5	0.5	0.63	0.33	0.38	0.27
0.47	0.38	0.49	0.41	0.48	0.44	0.52	0.55	0.38	0.41	0.43	0.43	0.32	0.46	0.38	0.47	0.5	0.44	0.5	0.45	0.57	0.48	0.38	0.5	0.6	0.17	0.61
0.45	0.66	0.45	0.45	0.29	0.54	0.43	0.54	0.63	0.59	0.6	0.51	0.49	0.58	0.5	0.57	0.27	0.42	0.68	0.55	0.38	0.5	0.67	0.4	0.5	0.33	0.28
0.46	0.35	0.68	0.61	0.53	0.51	0.46	0.33	0.55	0.28	0.35	0.43	0.32	0.43	0.06	0.56	0.45	0.52	0.7	0.32	0.61	0.29	0.63	0.83	0.68	0.5	0.53
0.42	0.61	0.34	0.58	0.49	0.46	0.51	0.51	0.56	0.36	0.39	0.51	0.61	0.73	0.44	0.42	0.52	0.61	0.54	0.71	0.36	0.3	0.73	0.39	0.72	0.47	0.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/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:  

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 Ronald Aylmer Fisher' @ fisher.wessa.net



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')