FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationSun, 21 Mar 2010 05:39:53 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/21/t1269171753ow1xnmrxk372d1u.htm/, Retrieved Sun, 06 Oct 2024 06:54:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74561, Retrieved Sun, 06 Oct 2024 06:54:30 +0000
QR Codes:

Original text written by user:T. Allison, D. V. Cicchetti (1976), Sleep in Mammals: Ecological and Constitutional Correlates, Science, vol. 194
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact629

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Factor Analysis] [Sleep in Mammals ...] [2010-03-21 11:39:53] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RMPD    [Testing Mean with unknown Variance - Critical Value] [Hypothesis Test a...] [2010-10-19 11:45:26] [b98453cac15ba1066b407e146608df68]
-   PD      [Testing Mean with unknown Variance - Critical Value] [Task 4: Male I1 n...] [2010-10-22 07:54:30] [6ca0fc48dd5333d51a15728999009c83]
-    D        [Testing Mean with unknown Variance - Critical Value] [Task 5: I1 Females] [2010-10-22 08:05:44] [6ca0fc48dd5333d51a15728999009c83]
-   P           [Testing Mean with unknown Variance - Critical Value] [Task 8: females I...] [2010-10-22 08:32:49] [6ca0fc48dd5333d51a15728999009c83]
-               [Testing Mean with unknown Variance - Critical Value] [ws4 question5] [2010-11-11 17:42:17] [74be16979710d4c4e7c6647856088456]
- RMPD          [] [Question 5] [-0001-11-30 00:00:00] [52986265a8945c3b72cdef4e8a412754]
- R             [Testing Mean with unknown Variance - Critical Value] [ws4- question 4] [2011-10-24 18:07:54] [c2267e575f67090c7e8d960bdccd246a]
-   P         [Testing Mean with unknown Variance - Critical Value] [Task 8: variance ...] [2010-10-22 08:28:37] [6ca0fc48dd5333d51a15728999009c83]
- R             [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 I1] [2011-10-23 14:19:44] [74be16979710d4c4e7c6647856088456]
- R  D          [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 I2] [2011-10-23 14:22:15] [74be16979710d4c4e7c6647856088456]
- R  D          [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 I3] [2011-10-23 14:23:12] [74be16979710d4c4e7c6647856088456]
- R  D          [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 E1] [2011-10-23 14:24:09] [74be16979710d4c4e7c6647856088456]
- R  D          [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 E2] [2011-10-23 14:25:15] [74be16979710d4c4e7c6647856088456]
- R  D          [Testing Mean with unknown Variance - Critical Value] [WS4 Q2 E3] [2011-10-23 14:26:11] [74be16979710d4c4e7c6647856088456]
-             [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 22:52:32] [cedc6e349adccbc14af34aba450b5beb]
-             [Testing Mean with unknown Variance - Critical Value] [ws4 question4] [2010-11-11 17:38:12] [74be16979710d4c4e7c6647856088456]
-             [Testing Mean with unknown Variance - Critical Value] [Question 4] [2010-11-11 21:31:09] [20c5a34fea7ed3b9b27ff444f2eb4dfe]
-    D        [Testing Mean with unknown Variance - Critical Value] [Question 4] [2010-11-12 07:29:11] [52986265a8945c3b72cdef4e8a412754]
F   PD      [Testing Mean with unknown Variance - Critical Value] [task 4: academic ...] [2010-10-22 07:53:14] [18a20458ff88c9ba38344d123a9464bc]
F    D        [Testing Mean with unknown Variance - Critical Value] [task 5: academic ...] [2010-10-22 08:06:35] [18a20458ff88c9ba38344d123a9464bc]
-   P           [Testing Mean with unknown Variance - Critical Value] [task 8: academic ...] [2010-10-24 14:08:14] [18a20458ff88c9ba38344d123a9464bc]
-                 [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:36:11] [76e72a1b37cce9a27058d2e4927e5bf5]
-    D            [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:57:03] [5278e0a58c5de897b31ce79607e774d7]
-    D            [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:58:32] [5278e0a58c5de897b31ce79607e774d7]
-                 [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 22:46:18] [6e5489189f7de5cfbcc25dd35ae15009]
- R PD            [Testing Mean with unknown Variance - Critical Value] [vraag 1 - hypothe...] [2010-11-11 19:41:58] [82643889efeee0b265cd2ff213e5137b]
- R PD            [Testing Mean with unknown Variance - Critical Value] [] [2010-11-11 19:45:04] [82643889efeee0b265cd2ff213e5137b]
- R PD            [Testing Mean with unknown Variance - Critical Value] [Vraag 1 - hypothe...] [2010-11-11 19:45:04] [82643889efeee0b265cd2ff213e5137b]
-                   [Testing Mean with unknown Variance - Critical Value] [] [2010-11-18 18:13:42] [f47feae0308dca73181bb669fbad1c56]
- R PD            [Testing Mean with unknown Variance - Critical Value] [vraag 1 - hypothe...] [2010-11-11 19:47:31] [82643889efeee0b265cd2ff213e5137b]
-                   [Testing Mean with unknown Variance - Critical Value] [] [2010-11-18 18:15:51] [f47feae0308dca73181bb669fbad1c56]
- RMPD          [Minimum Sample Size - Testing Mean] [task 11: academic...] [2010-10-24 14:13:31] [18a20458ff88c9ba38344d123a9464bc]
-                 [Minimum Sample Size - Testing Mean] [] [2010-10-26 20:38:37] [76e72a1b37cce9a27058d2e4927e5bf5]
- R               [Minimum Sample Size - Testing Mean] [] [2010-10-26 21:02:32] [5278e0a58c5de897b31ce79607e774d7]
- R P             [Minimum Sample Size - Testing Mean] [Academic Motivati...] [2010-10-27 00:08:20] [b20a509e36241371274681d9edf773da]
-   P           [Testing Mean with unknown Variance - Critical Value] [task 7] [2010-10-26 10:35:35] [18a20458ff88c9ba38344d123a9464bc]
-   P             [Testing Mean with unknown Variance - Critical Value] [Workshop 4 - Task 7] [2010-10-26 13:44:04] [8d09066a9d3795298da6860e7d4a4400]
-                   [Testing Mean with unknown Variance - Critical Value] [ws4 question7] [2010-11-11 17:47:44] [8b2514d8f13517d765015fc185a22b4b]
-   P             [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 16:44:27] [8441f95c4a5787a301bc621ebc7904ca]
-   P             [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:34:27] [76e72a1b37cce9a27058d2e4927e5bf5]
-   PD            [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:52:51] [5278e0a58c5de897b31ce79607e774d7]
-   P             [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 22:43:28] [6e5489189f7de5cfbcc25dd35ae15009]
-   PD            [Testing Mean with unknown Variance - Critical Value] [Academic Motivati...] [2010-10-26 23:41:43] [b20a509e36241371274681d9edf773da]
- R PD            [Testing Mean with unknown Variance - Critical Value] [WS4 - Q7M] [2011-10-25 21:24:14] [7e261c986c934df955dd3ac53e9d45c6]
-               [Testing Mean with unknown Variance - Critical Value] [Workshop 4 - Task 5] [2010-10-26 13:29:02] [8d09066a9d3795298da6860e7d4a4400]
-               [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 16:37:35] [8441f95c4a5787a301bc621ebc7904ca]
-               [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:31:47] [76e72a1b37cce9a27058d2e4927e5bf5]
-    D          [Testing Mean with unknown Variance - Critical Value] [] [2010-10-26 20:45:52] [5278e0a58c5de897b31ce79607e774d7]

[Truncated]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'A.rat'	0	0.81954393554187	6.3	0.30102999566398	0.65321251377534	1.6232492903979	3	1	3
'Elephant'	3.40602894496362	3.66304097489397	2.1	0.25527250510331	1.83884909073726	2.79518458968242	3	5	4
'Baboon'	1.02325245963371	2.25406445291434	9.1	-0.15490195998574	1.43136376415899	2.25527250510331	4	4	4
'B.bat'	-1.69897000433602	-0.52287874528034	15.8	0.5910646070265	1.27875360095283	1.54406804435028	1	1	1
'Tapir'	2.20411998265592	2.22788670461367	5.2	0	1.48287358360875	2.59328606702046	4	5	4
'Cat'	0.51851393987789	1.40823996531185	10.9	0.55630250076729	1.44715803134222	1.79934054945358	1	2	1
'Chimp'	1.71733758272386	2.64345267648619	8.3	0.14612803567824	1.69897000433602	2.36172783601759	1	1	1
'Chinchilla'	-0.36653154442041	0.80617997398389	11	0.17609125905568	0.84509804001426	2.04921802267018	5	4	4
'Cow'	2.66745295288995	2.62634036737504	3.2	-0.15490195998574	1.47712125471966	2.44870631990508	5	5	5
'Mole'	-1.09691001300806	0.079181246047625	6.3	0.32221929473392	0.54406804435028	1.6232492903979	1	1	1
'Hedgehog'	-0.10237290870956	0.54406804435028	6.6	0.61278385671974	0.77815125038364	1.6232492903979	2	2	2
'Galago'	-0.69897000433602	0.69897000433602	9.5	0.079181246047625	1.01703333929878	2.07918124604762	2	2	2
'Goat'	1.44185217577329	2.06069784035361	3.3	-0.30102999566398	1.30102999566398	2.17026171539496	5	5	5
'Hamster'	-0.92081875395238	0	11	0.53147891704226	0.5910646070265	1.20411998265592	3	1	2
'Seal'	1.92941892571429	2.51188336097887	4.7	0.17609125905568	1.61278385671974	2.49136169383427	1	3	1
'Squirrel'	-1	0.60205999132796	10.4	0.53147891704226	0.95424250943932	1.44715803134222	5	1	3
'Guinea_pig'	0.01703333929878	0.74036268949424	7.4	-0.096910013008056	0.88081359228079	1.83250891270624	5	3	4
'Horse'	2.71683772329952	2.81624129999178	2.1	-0.096910013008056	1.66275783168157	2.52633927738984	5	5	5
'L.bat'	-2	-0.60205999132796	17.9	0.30102999566398	1.38021124171161	1.69897000433602	1	1	1
'Man'	1.79239168949825	3.12057393120585	6.1	0.27875360095283	2	2.42651126136458	1	1	1
'Mouse'	-1.69897000433602	-0.39794000867204	11.9	0.11394335230684	0.50514997831991	1.27875360095283	4	1	3
'N.opossum'	0.23044892137827	0.79934054945358	13.8	0.7481880270062	0.69897000433602	1.07918124604762	2	1	1
'Armadillo'	0.54406804435028	1.03342375548695	14.3	0.49136169383427	0.81291335664286	2.07918124604762	2	1	1
'O.monkey'	-0.31875876262441	1.19033169817029	15.2	0.25527250510331	1.07918124604762	2.14612803567824	2	2	2
'Patas'	1	2.06069784035361	10	-0.045757490560675	1.30535136944662	2.23044892137827	4	4	4
'Phalanger'	0.20951501454263	1.05690485133647	11.9	0.25527250510331	1.11394335230684	1.23044892137827	2	1	2
'Pig'	2.28330122870355	2.25527250510331	6.5	0.27875360095283	1.43136376415899	2.06069784035361	4	4	4
'Rabbit'	0.39794000867204	1.08278537031645	7.5	-0.045757490560675	1.25527250510331	1.49136169383427	5	5	5
'Rat'	-0.55284196865778	0.27875360095283	10.6	0.41497334797082	0.67209785793572	1.32221929473392	3	1	3
'Fox'	0.62736585659273	1.70243053644553	7.4	0.38021124171161	0.99122607569249	1.7160033436348	1	1	1
'Rhesus'	0.83250891270624	2.25285303097989	8.4	0.079181246047625	1.46239799789896	2.2148438480477	2	3	2
'G.hyrax'	-0.1249387366083	1.0899051114394	5.7	-0.045757490560675	0.84509804001426	2.35218251811136	2	2	2
'R.hyrax'	0.55630250076729	1.32221929473392	4.9	-0.30102999566398	0.77815125038364	2.35218251811136	3	2	3
'Sheep'	1.74429298312268	2.24303804868629	3.2	-0.22184874961636	1.30102999566398	2.17897694729317	5	5	5
'Tenrec'	-0.045757490560675	0.41497334797082	11	0.36172783601759	0.65321251377534	1.77815125038364	2	1	2
'T.hyrax'	0.30102999566398	1.0899051114394	4.9	-0.30102999566398	0.8750612633917	2.30102999566398	3	1	3
'Tree_shrew'	-1	0.39794000867204	13.2	0.41497334797082	0.36172783601759	1.66275783168157	3	2	2
'Vervet'	0.6222140229663	1.76342799356294	9.7	-0.22184874961636	1.38021124171161	2.32221929473392	4	3	4
'L.opossum'	0.54406804435028	0.5910646070265	12.8	0.81954393554187	0.47712125471966	1.14612803567824	2	1	1

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74561&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74561&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'Gwilym Jenkins' @ 72.249.127.135






Rotated Factor Loadings
VariablesFactor1Factor2
logWb0.8820.259
logWbr0.940.2
SWS-0.635-0.477
logPS-0.396-0.685
logL0.8590.02
logtg0.8450.235
P-0.0460.958
S0.5210.739
D0.1880.964

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 \tabularnewline
logWb & 0.882 & 0.259 \tabularnewline
logWbr & 0.94 & 0.2 \tabularnewline
SWS & -0.635 & -0.477 \tabularnewline
logPS & -0.396 & -0.685 \tabularnewline
logL & 0.859 & 0.02 \tabularnewline
logtg & 0.845 & 0.235 \tabularnewline
P & -0.046 & 0.958 \tabularnewline
S & 0.521 & 0.739 \tabularnewline
D & 0.188 & 0.964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74561&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][/ROW]
[ROW][C]logWb[/C][C]0.882[/C][C]0.259[/C][/ROW]
[ROW][C]logWbr[/C][C]0.94[/C][C]0.2[/C][/ROW]
[ROW][C]SWS[/C][C]-0.635[/C][C]-0.477[/C][/ROW]
[ROW][C]logPS[/C][C]-0.396[/C][C]-0.685[/C][/ROW]
[ROW][C]logL[/C][C]0.859[/C][C]0.02[/C][/ROW]
[ROW][C]logtg[/C][C]0.845[/C][C]0.235[/C][/ROW]
[ROW][C]P[/C][C]-0.046[/C][C]0.958[/C][/ROW]
[ROW][C]S[/C][C]0.521[/C][C]0.739[/C][/ROW]
[ROW][C]D[/C][C]0.188[/C][C]0.964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74561&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
logWb0.8820.259
logWbr0.940.2
SWS-0.635-0.477
logPS-0.396-0.685
logL0.8590.02
logtg0.8450.235
P-0.0460.958
S0.5210.739
D0.1880.964


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):
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='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')