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Author's title

Analisis 4-factorial delitos homicidios y variables socioeconomicas ENCOVI ...

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*Unverified author*

R Software Module

rwasp_factor_analysis.wasp

Title produced by software

Factor Analysis

Date of computation

Thu, 03 Apr 2014 15:01:31 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Apr/03/t1396551742lcsgzukht392cox.htm/, Retrieved Fri, 17 May 2024 01:44:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234398, Retrieved Fri, 17 May 2024 01:44:43 +0000

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Estimated Impact

166

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

-       [Factor Analysis] [Analisis 4-factor...] [2014-04-03 19:01:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

'GTM'	232.21	49.04	21.38	68	77.34	49.87	7.88	12.86	3.70	77.34	59.18	16.81	1,420	0.14	0.44	0.82	0.9	0.87	0.66	0.81	0.83	0.77	95.36	4.64	47.3	48.06	41.04	4.16	36.88
'PRO'	46.99	14.60	15.24	58	44.45	38.10	3.17	22.86	4.44	44.45	34.29	9.52	86	0.02	0.49	0.74	0.82	0.4	0.59	0.75	0.73	0.69	96.65	3.35	51.85	44.8	43.42	6.37	37.05
'SAC'	153.15	29.68	15.79	21	36.95	10.10	1.58	13.89	3.79	36.95	29.68	6.63	590	0.36	0.48	0.76	0.86	0.83	0.6	0.75	0.88	0.75	97.01	2.99	48.35	48.66	61.43	10.69	50.74
'CHM'	76.40	11.39	7.43	14	35.81	9.41	0.83	5.45	1.32	35.81	26.40	9.24	325	0.78	0.56	0.7	0.79	0.5	0.43	0.67	0.78	0.63	97.42	2.58	55.68	41.74	68.27	18.59	49.68
'ESC'	301.06	35.59	26.33	98	73.88	70.75	8.11	28.47	3.99	73.88	59.64	12.10	156	0.07	0.49	0.72	0.81	0.5	0.46	0.8	0.74	0.67	94.67	5.33	38.57	56.1	47.93	3.75	44.18
'SRO'	80.60	19.72	20.29	82	67.84	56.83	4.64	24.64	8.70	67.84	55.67	11.89	109	0.03	0.52	0.71	0.8	0.4	0.49	0.65	0.56	0.56	96.22	3.78	55.42	40.8	58.41	11.34	47.07
'SOL'	11.61	5.57	0.93	9	18.35	3.72	0.00	7.66	1.16	18.35	13.47	4.88	369	0.96	0.54	0.61	0.65	0.53	0.41	0.69	0.69	0.6	97.13	2.87	45.41	51.72	81.24	24.02	57.22
'TOT'	21.37	4.44	0.63	8	15.87	0.85	0.42	9.10	3.17	15.87	10.58	4.44	439	0.97	0.54	0.61	0.68	0.47	0.41	0.51	0.59	0.5	94.18	5.82	58.74	35.44	76.15	24.74	51.41
'QUT'	100.46	30.67	9.47	27	34.83	17.54	1.77	10.35	2.65	34.83	25.87	8.08	372	0.52	0.53	0.7	0.8	0.59	0.51	0.83	0.72	0.69	95.62	4.38	59.43	36.19	66.5	15.42	51.08
'SUC'	105.26	26.94	9.95	31	36.68	17.20	2.28	17.20	2.69	36.68	29.01	7.25	202	0.23	0.53	0.65	0.73	0.41	0.39	0.71	0.77	0.62	96.63	3.37	31.4	65.23	73.07	24.07	49
'RET'	86.14	24.09	5.94	36	37.62	23.10	1.32	18.15	2.97	37.62	28.71	7.59	178	0.15	0.54	0.69	0.77	0.39	0.4	0.62	0.74	0.59	95.21	4.79	42.09	53.12	60.5	13.38	47.12
'SMA'	22.80	6.26	4.70	16	12.72	10.67	0.29	6.85	0.88	12.72	9.88	2.64	288	0.3	0.56	0.66	0.72	0.27	0.39	0.59	0.69	0.56	96.78	3.22	64.41	32.37	65.08	15.15	49.93
'HUE'	48.07	7.48	4.35	6	13.12	3.82	0.26	3.65	0.26	13.12	10.00	2.09	156	0.57	0.57	0.57	0.65	0.29	0.4	0.57	0.7	0.56	97.05	2.95	69.43	27.62	55.68	9.57	46.11
'QUI'	23.44	5.44	2.09	6	14.44	2.30	0.31	5.55	1.05	14.44	9.00	4.81	131	0.89	0.58	0.53	0.58	0.31	0.42	0.45	0.66	0.51	97.07	2.93	59.57	37.5	66.47	16.15	50.32
'BVP'	39.47	21.97	6.33	19	23.09	7.45	1.49	16.38	1.86	23.09	16.38	5.59	25	0.56	0.54	0.63	0.69	0.31	0.55	0.56	0.68	0.59	96.33	3.67	59.92	36.41	62.39	22.36	40.03
'AVP'	33.84	11.52	6.97	13	14.47	7.41	0.45	7.32	1.25	14.47	11.25	2.86	371	0.9	0.58	0.56	0.6	0.23	0.24	0.29	0.42	0.32	94.46	5.54	50.45	44.01	77.2	30.2	47
'PET'	51.40	7.00	11.30	59	25.30	41.54	3.66	17.35	2.71	25.30	21.48	3.66	17	0.32	0.59	0.66	0.75	0.31	0.36	0.54	0.43	0.44	97.88	2.12	53.12	44.76	62.7	15.54	47.16
'IZA'	103.71	12.66	20.69	80	49.18	59.16	6.82	17.28	3.41	49.18	38.95	9.49	55	0.27	0.52	0.68	0.78	0.36	0.55	0.72	0.64	0.63	96.88	3.12	49.92	46.96	58.38	24.63	33.75
'ZAC'	64.15	8.13	42.46	93	67.76	66.41	7.68	23.49	5.87	67.76	50.60	14.91	82	0.01	0.48	0.68	0.79	0.43	0.59	0.69	0.76	0.68	97.58	2.42	41.76	55.82	61.48	24.96	36.52
'CHQ'	75.00	11.41	29.89	96	58.15	58.70	6.25	38.32	7.34	58.15	45.38	11.14	153	0.07	0.54	0.63	0.72	0.27	0.5	0.57	0.64	0.57	97.93	2.07	47.66	50.27	66.01	22.03	33.98
'JAL'	12.42	11.14	12.42	54	35.02	33.11	4.78	18.15	5.09	35.02	28.97	5.09	154	0.00001	0.55	0.65	0.76	0.33	0.46	0.51	0.62	0.53	97.9	2.1	42.62	55.28	73.43	18.88	54.55
'JUT'	34.77	11.74	6.22	61	46.29	42.83	7.37	14.05	2.30	46.29	36.38	9.67	131	0.03	0.5	0.69	0.77	0.32	0.5	0.69	0.62	0.6	97.51	2.49	52.56	44.95	48.92	14.31	34.61

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234398&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234398&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	4 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Rotated Factor Loadings
Variables	Factor1	Factor2	Factor3	Factor4
Delitos	0.382	0.614	0.508	0.088
Capturas_Delitos	0.221	0.697	0.511	0.07
Armas_robadas	0.821	0.249	-0.081	0.209
Homicidios	0.973	0.129	-0.026	0.082
OtrasMuertes	0.834	0.481	0.139	0.122
HArmaFuego_M	0.963	0.149	-0.001	0.038
HArmaFuego_F	0.901	0.25	-0.008	0.026
HNoArmaFuegoM	0.844	0.028	-0.044	0.246
HNoArmaFuegoF	0.759	0.105	-0.038	0.247
OtrasMuertesT	0.834	0.481	0.139	0.122
OtrasMuertesH	0.845	0.461	0.141	0.128
OtrasMuertesM	0.725	0.546	0.101	0.087
DensidadPoblaci�n	-0.672	0.125	0.163	0.391
Etnicidad	-0.79	-0.302	0.179	0.007
Juventud	-0.455	-0.779	-0.151	-0.068
Escolaridad	0.389	0.814	0.118	-0.012
Alfabetismo	0.454	0.784	0.034	0.02
Urbanidad	-0.114	0.867	0.236	0.188
IH	0.41	0.743	-0.211	-0.164
ICV	0.24	0.868	-0.03	0.031
ISP	-0.115	0.87	-0.116	0.118
IBH	0.177	0.948	-0.118	0.01
Ocupados	0.131	-0.017	-0.963	0.012
Desocupados	-0.131	0.017	0.963	-0.012
Subocupados	-0.419	-0.185	-0.098	-0.793
OcupadosPlenos	0.433	0.182	-0.024	0.79
PobrezaTotal	-0.534	-0.514	-0.104	0.588
PobrezaExtrema	-0.184	-0.596	-0.166	0.478
PobrezaNoExtrema	-0.729	-0.099	0.081	0.35

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 & Factor3 & Factor4 \tabularnewline
Delitos & 0.382 & 0.614 & 0.508 & 0.088 \tabularnewline
Capturas_Delitos & 0.221 & 0.697 & 0.511 & 0.07 \tabularnewline
Armas_robadas & 0.821 & 0.249 & -0.081 & 0.209 \tabularnewline
Homicidios & 0.973 & 0.129 & -0.026 & 0.082 \tabularnewline
OtrasMuertes & 0.834 & 0.481 & 0.139 & 0.122 \tabularnewline
HArmaFuego_M & 0.963 & 0.149 & -0.001 & 0.038 \tabularnewline
HArmaFuego_F & 0.901 & 0.25 & -0.008 & 0.026 \tabularnewline
HNoArmaFuegoM & 0.844 & 0.028 & -0.044 & 0.246 \tabularnewline
HNoArmaFuegoF & 0.759 & 0.105 & -0.038 & 0.247 \tabularnewline
OtrasMuertesT & 0.834 & 0.481 & 0.139 & 0.122 \tabularnewline
OtrasMuertesH & 0.845 & 0.461 & 0.141 & 0.128 \tabularnewline
OtrasMuertesM & 0.725 & 0.546 & 0.101 & 0.087 \tabularnewline
DensidadPoblaci�n & -0.672 & 0.125 & 0.163 & 0.391 \tabularnewline
Etnicidad & -0.79 & -0.302 & 0.179 & 0.007 \tabularnewline
Juventud & -0.455 & -0.779 & -0.151 & -0.068 \tabularnewline
Escolaridad & 0.389 & 0.814 & 0.118 & -0.012 \tabularnewline
Alfabetismo & 0.454 & 0.784 & 0.034 & 0.02 \tabularnewline
Urbanidad & -0.114 & 0.867 & 0.236 & 0.188 \tabularnewline
IH & 0.41 & 0.743 & -0.211 & -0.164 \tabularnewline
ICV & 0.24 & 0.868 & -0.03 & 0.031 \tabularnewline
ISP & -0.115 & 0.87 & -0.116 & 0.118 \tabularnewline
IBH & 0.177 & 0.948 & -0.118 & 0.01 \tabularnewline
Ocupados & 0.131 & -0.017 & -0.963 & 0.012 \tabularnewline
Desocupados & -0.131 & 0.017 & 0.963 & -0.012 \tabularnewline
Subocupados & -0.419 & -0.185 & -0.098 & -0.793 \tabularnewline
OcupadosPlenos & 0.433 & 0.182 & -0.024 & 0.79 \tabularnewline
PobrezaTotal & -0.534 & -0.514 & -0.104 & 0.588 \tabularnewline
PobrezaExtrema & -0.184 & -0.596 & -0.166 & 0.478 \tabularnewline
PobrezaNoExtrema & -0.729 & -0.099 & 0.081 & 0.35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234398&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]Delitos[/C][C]0.382[/C][C]0.614[/C][C]0.508[/C][C]0.088[/C][/ROW]
[ROW][C]Capturas_Delitos[/C][C]0.221[/C][C]0.697[/C][C]0.511[/C][C]0.07[/C][/ROW]
[ROW][C]Armas_robadas[/C][C]0.821[/C][C]0.249[/C][C]-0.081[/C][C]0.209[/C][/ROW]
[ROW][C]Homicidios[/C][C]0.973[/C][C]0.129[/C][C]-0.026[/C][C]0.082[/C][/ROW]
[ROW][C]OtrasMuertes[/C][C]0.834[/C][C]0.481[/C][C]0.139[/C][C]0.122[/C][/ROW]
[ROW][C]HArmaFuego_M[/C][C]0.963[/C][C]0.149[/C][C]-0.001[/C][C]0.038[/C][/ROW]
[ROW][C]HArmaFuego_F[/C][C]0.901[/C][C]0.25[/C][C]-0.008[/C][C]0.026[/C][/ROW]
[ROW][C]HNoArmaFuegoM[/C][C]0.844[/C][C]0.028[/C][C]-0.044[/C][C]0.246[/C][/ROW]
[ROW][C]HNoArmaFuegoF[/C][C]0.759[/C][C]0.105[/C][C]-0.038[/C][C]0.247[/C][/ROW]
[ROW][C]OtrasMuertesT[/C][C]0.834[/C][C]0.481[/C][C]0.139[/C][C]0.122[/C][/ROW]
[ROW][C]OtrasMuertesH[/C][C]0.845[/C][C]0.461[/C][C]0.141[/C][C]0.128[/C][/ROW]
[ROW][C]OtrasMuertesM[/C][C]0.725[/C][C]0.546[/C][C]0.101[/C][C]0.087[/C][/ROW]
[ROW][C]DensidadPoblaci�n[/C][C]-0.672[/C][C]0.125[/C][C]0.163[/C][C]0.391[/C][/ROW]
[ROW][C]Etnicidad[/C][C]-0.79[/C][C]-0.302[/C][C]0.179[/C][C]0.007[/C][/ROW]
[ROW][C]Juventud[/C][C]-0.455[/C][C]-0.779[/C][C]-0.151[/C][C]-0.068[/C][/ROW]
[ROW][C]Escolaridad[/C][C]0.389[/C][C]0.814[/C][C]0.118[/C][C]-0.012[/C][/ROW]
[ROW][C]Alfabetismo[/C][C]0.454[/C][C]0.784[/C][C]0.034[/C][C]0.02[/C][/ROW]
[ROW][C]Urbanidad[/C][C]-0.114[/C][C]0.867[/C][C]0.236[/C][C]0.188[/C][/ROW]
[ROW][C]IH[/C][C]0.41[/C][C]0.743[/C][C]-0.211[/C][C]-0.164[/C][/ROW]
[ROW][C]ICV[/C][C]0.24[/C][C]0.868[/C][C]-0.03[/C][C]0.031[/C][/ROW]
[ROW][C]ISP[/C][C]-0.115[/C][C]0.87[/C][C]-0.116[/C][C]0.118[/C][/ROW]
[ROW][C]IBH[/C][C]0.177[/C][C]0.948[/C][C]-0.118[/C][C]0.01[/C][/ROW]
[ROW][C]Ocupados[/C][C]0.131[/C][C]-0.017[/C][C]-0.963[/C][C]0.012[/C][/ROW]
[ROW][C]Desocupados[/C][C]-0.131[/C][C]0.017[/C][C]0.963[/C][C]-0.012[/C][/ROW]
[ROW][C]Subocupados[/C][C]-0.419[/C][C]-0.185[/C][C]-0.098[/C][C]-0.793[/C][/ROW]
[ROW][C]OcupadosPlenos[/C][C]0.433[/C][C]0.182[/C][C]-0.024[/C][C]0.79[/C][/ROW]
[ROW][C]PobrezaTotal[/C][C]-0.534[/C][C]-0.514[/C][C]-0.104[/C][C]0.588[/C][/ROW]
[ROW][C]PobrezaExtrema[/C][C]-0.184[/C][C]-0.596[/C][C]-0.166[/C][C]0.478[/C][/ROW]
[ROW][C]PobrezaNoExtrema[/C][C]-0.729[/C][C]-0.099[/C][C]0.081[/C][C]0.35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234398&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	Factor3	Factor4
Delitos	0.382	0.614	0.508	0.088
Capturas_Delitos	0.221	0.697	0.511	0.07
Armas_robadas	0.821	0.249	-0.081	0.209
Homicidios	0.973	0.129	-0.026	0.082
OtrasMuertes	0.834	0.481	0.139	0.122
HArmaFuego_M	0.963	0.149	-0.001	0.038
HArmaFuego_F	0.901	0.25	-0.008	0.026
HNoArmaFuegoM	0.844	0.028	-0.044	0.246
HNoArmaFuegoF	0.759	0.105	-0.038	0.247
OtrasMuertesT	0.834	0.481	0.139	0.122
OtrasMuertesH	0.845	0.461	0.141	0.128
OtrasMuertesM	0.725	0.546	0.101	0.087
DensidadPoblaci�n	-0.672	0.125	0.163	0.391
Etnicidad	-0.79	-0.302	0.179	0.007
Juventud	-0.455	-0.779	-0.151	-0.068
Escolaridad	0.389	0.814	0.118	-0.012
Alfabetismo	0.454	0.784	0.034	0.02
Urbanidad	-0.114	0.867	0.236	0.188
IH	0.41	0.743	-0.211	-0.164
ICV	0.24	0.868	-0.03	0.031
ISP	-0.115	0.87	-0.116	0.118
IBH	0.177	0.948	-0.118	0.01
Ocupados	0.131	-0.017	-0.963	0.012
Desocupados	-0.131	0.017	0.963	-0.012
Subocupados	-0.419	-0.185	-0.098	-0.793
OcupadosPlenos	0.433	0.182	-0.024	0.79
PobrezaTotal	-0.534	-0.514	-0.104	0.588
PobrezaExtrema	-0.184	-0.596	-0.166	0.478
PobrezaNoExtrema	-0.729	-0.099	0.081	0.35

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

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

par1 <- '4'
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$scores,pch=20)
text(fs$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')

Free Statistics

Description of Statistical Computation

Analisis 4-factorial delitos homicidios y variables socioeconomicas ENCOVI ...

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code