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Author's title

Analisis factorial delitos homicidios y variables socioeconomicas ENCOVI 20...

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*Unverified author*

R Software Module

rwasp_factor_analysis.wasp

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Factor Analysis

Date of computation

Wed, 02 Apr 2014 18:14:32 -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/02/t1396476964dor6fnmwahasgth.htm/, Retrieved Fri, 17 May 2024 04:48:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234382, Retrieved Fri, 17 May 2024 04:48:40 +0000

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Estimated Impact

207

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

-       [Factor Analysis] [Analisis factoria...] [2014-04-02 22:14:32] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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'GTM'	232.2067361	49.03843822	21.37654757	67.63922514	77.33843478	49.86797589	7.880607834	12.85783383	3.701014206	77.33843478	59.18432199	16.8140904	1,420	0.14	0.44	0.82	0.9	0.64	0.87	0.66	0.81	0.83	0.77	95.36	4.64	47.3	48.06	41.04	4.16	36.88	58.96
'PRO'	46.98711029	14.60410185	15.2390628	58.41640739	44.44726649	38.09765699	3.17480475	22.8585942	4.444726649	44.44726649	34.28789129	9.524414249	86	0.02	0.49	0.74	0.82	0.57	0.4	0.59	0.75	0.73	0.69	96.65	3.35	51.85	44.8	43.42	6.37	37.05	56.58
'SAC'	153.1533807	29.68333565	15.78900832	21.15727115	36.94627948	10.10496533	1.578900832	13.89432733	3.789361998	36.94627948	29.68333565	6.631383496	590	0.36	0.48	0.76	0.86	0.57	0.83	0.6	0.75	0.88	0.75	97.01	2.99	48.35	48.66	61.43	10.69	50.74	38.57
'CHM'	76.40150559	11.38596952	7.425632293	14.35622243	35.80804906	9.405800904	0.825070255	5.445463681	1.320112408	35.80804906	26.40224815	9.240786853	325	0.78	0.56	0.7	0.79	0.52	0.5	0.43	0.67	0.78	0.63	97.42	2.58	55.68	41.74	68.27	18.59	49.68	31.73
'ESC'	301.0646157	35.58683401	26.33425717	98.21966187	73.87826741	70.74662601	8.113798154	28.46946721	3.985725409	73.87826741	59.6435338	12.09952356	156	0.07	0.49	0.72	0.81	0.54	0.5	0.46	0.8	0.74	0.67	94.67	5.33	38.57	56.1	47.93	3.75	44.18	52.07
'SRO'	80.59956801	19.71500225	20.29485525	82.33912703	67.84280185	56.82559471	4.638824058	24.64375281	8.697795109	67.84280185	55.6658887	11.88698665	109	0.03	0.52	0.71	0.8	0.54	0.4	0.49	0.65	0.56	0.56	96.22	3.78	55.42	40.8	58.41	11.34	47.07	41.59
'SOL'	11.61243273	5.573967713	0.928994619	8.593200224	18.34764372	3.715978475	0	7.664205605	1.161243273	18.34764372	13.47042197	4.877221749	369	0.96	0.54	0.61	0.65	0.52	0.53	0.41	0.69	0.69	0.6	97.13	2.87	45.41	51.72	81.24	24.02	57.22	18.76
'TOT'	21.37050532	4.443372393	0.634767485	7.828798978	15.86918712	0.846356646	0.423178323	9.098333947	3.173837423	15.86918712	10.57945808	4.443372393	439	0.97	0.54	0.61	0.68	0.47	0.47	0.41	0.51	0.59	0.5	94.18	5.82	58.74	35.44	76.15	24.74	51.41	23.85
'QUT'	100.4559641	30.66683325	9.465071991	26.88080446	34.83146493	17.54193342	1.766813438	10.34847871	2.650220158	34.83146493	25.87119678	8.076861433	372	0.52	0.53	0.7	0.8	0.52	0.59	0.51	0.83	0.72	0.69	95.62	4.38	59.43	36.19	66.5	15.42	51.08	33.5
'SUC'	105.2605406	26.93675251	9.945877848	30.87366249	36.67542456	17.19808045	2.279263674	17.19808045	2.693675251	36.67542456	29.00881039	7.252202598	202	0.23	0.53	0.65	0.73	0.5	0.41	0.39	0.71	0.77	0.62	96.63	3.37	31.4	65.23	73.07	24.07	49	29.93
'RET'	86.13605536	24.09169365	5.940417611	35.97252887	37.62264487	23.10162404	1.320092803	18.15127603	2.970208806	37.62264487	28.71201845	7.590533615	178	0.15	0.54	0.69	0.77	0.54	0.39	0.4	0.62	0.74	0.59	95.21	4.79	42.09	53.12	60.5	13.38	47.12	39.5
'SMA'	22.79850137	6.262249302	4.696686977	15.55777561	12.72019389	10.66539334	0.293542936	6.849335174	0.880628808	12.72019389	9.88261218	2.641886424	288	0.3	0.56	0.66	0.72	0.54	0.27	0.39	0.59	0.69	0.56	96.78	3.22	64.41	32.37	65.08	15.15	49.93	34.92
'HUE'	48.06689382	7.475140811	4.346012099	6.432097907	13.12495654	3.824490647	0.260760726	3.650650163	0.260760726	13.12495654	9.995827828	2.086085808	156	0.57	0.57	0.57	0.65	0.42	0.29	0.4	0.57	0.7	0.56	97.05	2.95	69.43	27.62	55.68	9.57	46.11	44.32
'QUI'	23.43819484	5.441009517	2.092695968	6.382722702	14.43960218	2.301965565	0.313904395	5.545644315	1.046347984	14.43960218	8.998592662	4.813200726	131	0.89	0.58	0.53	0.58	0.44	0.31	0.42	0.45	0.66	0.51	97.07	2.93	59.57	37.5	66.47	16.15	50.32	33.53
'BVP'	39.46976467	21.96901996	6.330056598	18.61781352	23.08608877	7.44712541	1.489425082	16.3836759	1.861781352	23.08608877	16.3836759	5.585344057	25	0.56	0.54	0.63	0.69	0.5	0.31	0.55	0.56	0.68	0.59	96.33	3.67	59.92	36.41	62.39	22.36	40.03	37.61
'AVP'	33.84463438	11.51967766	6.965386494	13.03777472	14.46657195	7.411885628	0.446499134	7.322585802	1.250197576	14.46657195	11.25177818	2.857594459	371	0.9	0.58	0.56	0.6	0.48	0.23	0.24	0.29	0.42	0.32	94.46	5.54	50.45	44.01	77.2	30.2	47	22.8
'PET'	51.40177249	7.002099038	11.29884163	59.35870321	25.30303971	41.53517839	3.660188134	17.34610898	2.705356447	25.30303971	21.48371296	3.660188134	17	0.32	0.59	0.66	0.75	0.5	0.31	0.36	0.54	0.43	0.44	97.88	2.12	53.12	44.76	62.7	15.54	47.16	37.3
'IZA'	103.7089333	12.65930642	20.69309703	79.8510097	49.17653646	59.15791268	6.816549609	17.28482222	3.408274804	49.17653646	38.95171205	9.494479812	55	0.27	0.52	0.68	0.78	0.46	0.36	0.55	0.72	0.64	0.63	96.88	3.12	49.92	46.96	58.38	24.63	33.75	41.62
'ZAC'	64.14773857	8.13140348	42.46399595	92.60765075	67.76169567	66.40646176	7.679658842	23.49072117	5.872680291	67.76169567	50.59539943	14.90757305	82	0.01	0.48	0.68	0.79	0.46	0.43	0.59	0.69	0.76	0.68	97.58	2.42	41.76	55.82	61.48	24.96	36.52	38.52
'CHQ'	75.00040761	11.41310551	29.8914668	96.19617498	58.15248996	58.69597117	6.250033968	38.31542563	7.336996397	58.15248996	45.38068142	11.1413649	153	0.07	0.54	0.63	0.72	0.44	0.27	0.5	0.57	0.64	0.57	97.93	2.07	47.66	50.27	66.01	22.03	33.98	33.99
'JAL'	12.41662554	11.14312549	12.41662554	54.44212738	35.02125153	33.11100145	4.775625209	18.14737579	5.094000223	35.02125153	28.97212627	5.094000223	154	0	0.55	0.65	0.76	0.42	0.33	0.46	0.51	0.62	0.53	97.9	2.1	42.62	55.28	73.43	18.88	54.55	26.57
'JUT'	34.77267651	11.74441392	6.217630898	61.25517848	46.2868078	42.83256841	7.369044028	14.04724018	2.302826259	46.2868078	36.38465489	9.671870286	131	0.03	0.5	0.69	0.77	0.52	0.32	0.5	0.69	0.62	0.6	97.51	2.49	52.56	44.95	48.92	14.31	34.61	51.08

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	'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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234382&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234382&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	'Gertrude Mary Cox' @ cox.wessa.net

Rotated Factor Loadings
Variables	Factor1	Factor2	Factor3	Factor4	Factor5	Factor6
Delitos	0.32	0.513	0.174	0.463	0.317	0.307
Capturas_Delitos	0.18	0.602	0.094	0.477	0.354	0.269
Armas_robadas	0.849	0.256	0.182	-0.07	-0.123	0.125
Homicidios	0.918	0.053	0.284	-0.062	0.141	0.164
OtrasMuertes	0.817	0.42	0.223	0.123	0.157	0.178
HArmaFuego_M	0.889	0.072	0.324	-0.035	0.164	0.154
HArmaFuego_F	0.793	0.199	0.423	-0.024	0.087	0.188
HNoArmaFuegoM	0.852	-0.033	0.09	-0.081	0.075	0.227
HNoArmaFuegoF	0.931	0.06	-0.197	-0.062	0.045	-0.029
OtrasMuertesT	0.817	0.42	0.223	0.123	0.157	0.178
OtrasMuertesH	0.83	0.385	0.199	0.114	0.202	0.192
OtrasMuertesM	0.711	0.544	0.275	0.128	0.003	0.103
DensidadPoblaci�n	-0.367	0.19	-0.739	0.19	-0.197	-0.057
Etnicidad	-0.689	-0.158	-0.246	0.255	-0.44	-0.211
Juventud	-0.461	-0.773	-0.19	-0.181	-0.087	-0.083
Escolaridad	0.418	0.704	-0.011	0.088	0.476	0.051
Alfabetismo	0.5	0.673	-0.026	-0.004	0.441	0.053
Matriculaci�n	0.029	0.592	-0.047	0.345	0.53	0.028
Urbanidad	0.03	0.86	-0.252	0.255	0.124	0.057
IH	0.426	0.768	0.25	-0.162	0.01	-0.209
ICV	0.234	0.814	0.088	-0.039	0.264	0.125
ISP	-0.114	0.889	0.059	-0.091	0.023	0.174
IBH	0.183	0.939	0.13	-0.098	0.132	0.056
Ocupados	0.087	-0.006	0.062	-0.973	-0.031	0.025
Desocupados	-0.087	0.006	-0.062	0.973	0.031	-0.025
Subocupados	-0.392	-0.162	0.075	-0.063	0.07	-0.88
OcupadosPlenos	0.401	0.16	-0.067	-0.061	-0.073	0.879
PobrezaTotal	-0.309	-0.385	-0.628	-0.071	-0.545	0.18
PobrezaExtrema	-0.072	-0.388	-0.2	-0.071	-0.811	0.14
PobrezaNoExtrema	-0.525	-0.133	-0.738	0.027	0.091	0.137
NoPobreza	0.304	0.392	0.634	0.07	0.546	-0.144

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 & Factor3 & Factor4 & Factor5 & Factor6 \tabularnewline
Delitos & 0.32 & 0.513 & 0.174 & 0.463 & 0.317 & 0.307 \tabularnewline
Capturas_Delitos & 0.18 & 0.602 & 0.094 & 0.477 & 0.354 & 0.269 \tabularnewline
Armas_robadas & 0.849 & 0.256 & 0.182 & -0.07 & -0.123 & 0.125 \tabularnewline
Homicidios & 0.918 & 0.053 & 0.284 & -0.062 & 0.141 & 0.164 \tabularnewline
OtrasMuertes & 0.817 & 0.42 & 0.223 & 0.123 & 0.157 & 0.178 \tabularnewline
HArmaFuego_M & 0.889 & 0.072 & 0.324 & -0.035 & 0.164 & 0.154 \tabularnewline
HArmaFuego_F & 0.793 & 0.199 & 0.423 & -0.024 & 0.087 & 0.188 \tabularnewline
HNoArmaFuegoM & 0.852 & -0.033 & 0.09 & -0.081 & 0.075 & 0.227 \tabularnewline
HNoArmaFuegoF & 0.931 & 0.06 & -0.197 & -0.062 & 0.045 & -0.029 \tabularnewline
OtrasMuertesT & 0.817 & 0.42 & 0.223 & 0.123 & 0.157 & 0.178 \tabularnewline
OtrasMuertesH & 0.83 & 0.385 & 0.199 & 0.114 & 0.202 & 0.192 \tabularnewline
OtrasMuertesM & 0.711 & 0.544 & 0.275 & 0.128 & 0.003 & 0.103 \tabularnewline
DensidadPoblaci�n & -0.367 & 0.19 & -0.739 & 0.19 & -0.197 & -0.057 \tabularnewline
Etnicidad & -0.689 & -0.158 & -0.246 & 0.255 & -0.44 & -0.211 \tabularnewline
Juventud & -0.461 & -0.773 & -0.19 & -0.181 & -0.087 & -0.083 \tabularnewline
Escolaridad & 0.418 & 0.704 & -0.011 & 0.088 & 0.476 & 0.051 \tabularnewline
Alfabetismo & 0.5 & 0.673 & -0.026 & -0.004 & 0.441 & 0.053 \tabularnewline
Matriculaci�n & 0.029 & 0.592 & -0.047 & 0.345 & 0.53 & 0.028 \tabularnewline
Urbanidad & 0.03 & 0.86 & -0.252 & 0.255 & 0.124 & 0.057 \tabularnewline
IH & 0.426 & 0.768 & 0.25 & -0.162 & 0.01 & -0.209 \tabularnewline
ICV & 0.234 & 0.814 & 0.088 & -0.039 & 0.264 & 0.125 \tabularnewline
ISP & -0.114 & 0.889 & 0.059 & -0.091 & 0.023 & 0.174 \tabularnewline
IBH & 0.183 & 0.939 & 0.13 & -0.098 & 0.132 & 0.056 \tabularnewline
Ocupados & 0.087 & -0.006 & 0.062 & -0.973 & -0.031 & 0.025 \tabularnewline
Desocupados & -0.087 & 0.006 & -0.062 & 0.973 & 0.031 & -0.025 \tabularnewline
Subocupados & -0.392 & -0.162 & 0.075 & -0.063 & 0.07 & -0.88 \tabularnewline
OcupadosPlenos & 0.401 & 0.16 & -0.067 & -0.061 & -0.073 & 0.879 \tabularnewline
PobrezaTotal & -0.309 & -0.385 & -0.628 & -0.071 & -0.545 & 0.18 \tabularnewline
PobrezaExtrema & -0.072 & -0.388 & -0.2 & -0.071 & -0.811 & 0.14 \tabularnewline
PobrezaNoExtrema & -0.525 & -0.133 & -0.738 & 0.027 & 0.091 & 0.137 \tabularnewline
NoPobreza & 0.304 & 0.392 & 0.634 & 0.07 & 0.546 & -0.144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234382&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][C]Factor5[/C][C]Factor6[/C][/ROW]
[ROW][C]Delitos[/C][C]0.32[/C][C]0.513[/C][C]0.174[/C][C]0.463[/C][C]0.317[/C][C]0.307[/C][/ROW]
[ROW][C]Capturas_Delitos[/C][C]0.18[/C][C]0.602[/C][C]0.094[/C][C]0.477[/C][C]0.354[/C][C]0.269[/C][/ROW]
[ROW][C]Armas_robadas[/C][C]0.849[/C][C]0.256[/C][C]0.182[/C][C]-0.07[/C][C]-0.123[/C][C]0.125[/C][/ROW]
[ROW][C]Homicidios[/C][C]0.918[/C][C]0.053[/C][C]0.284[/C][C]-0.062[/C][C]0.141[/C][C]0.164[/C][/ROW]
[ROW][C]OtrasMuertes[/C][C]0.817[/C][C]0.42[/C][C]0.223[/C][C]0.123[/C][C]0.157[/C][C]0.178[/C][/ROW]
[ROW][C]HArmaFuego_M[/C][C]0.889[/C][C]0.072[/C][C]0.324[/C][C]-0.035[/C][C]0.164[/C][C]0.154[/C][/ROW]
[ROW][C]HArmaFuego_F[/C][C]0.793[/C][C]0.199[/C][C]0.423[/C][C]-0.024[/C][C]0.087[/C][C]0.188[/C][/ROW]
[ROW][C]HNoArmaFuegoM[/C][C]0.852[/C][C]-0.033[/C][C]0.09[/C][C]-0.081[/C][C]0.075[/C][C]0.227[/C][/ROW]
[ROW][C]HNoArmaFuegoF[/C][C]0.931[/C][C]0.06[/C][C]-0.197[/C][C]-0.062[/C][C]0.045[/C][C]-0.029[/C][/ROW]
[ROW][C]OtrasMuertesT[/C][C]0.817[/C][C]0.42[/C][C]0.223[/C][C]0.123[/C][C]0.157[/C][C]0.178[/C][/ROW]
[ROW][C]OtrasMuertesH[/C][C]0.83[/C][C]0.385[/C][C]0.199[/C][C]0.114[/C][C]0.202[/C][C]0.192[/C][/ROW]
[ROW][C]OtrasMuertesM[/C][C]0.711[/C][C]0.544[/C][C]0.275[/C][C]0.128[/C][C]0.003[/C][C]0.103[/C][/ROW]
[ROW][C]DensidadPoblaci�n[/C][C]-0.367[/C][C]0.19[/C][C]-0.739[/C][C]0.19[/C][C]-0.197[/C][C]-0.057[/C][/ROW]
[ROW][C]Etnicidad[/C][C]-0.689[/C][C]-0.158[/C][C]-0.246[/C][C]0.255[/C][C]-0.44[/C][C]-0.211[/C][/ROW]
[ROW][C]Juventud[/C][C]-0.461[/C][C]-0.773[/C][C]-0.19[/C][C]-0.181[/C][C]-0.087[/C][C]-0.083[/C][/ROW]
[ROW][C]Escolaridad[/C][C]0.418[/C][C]0.704[/C][C]-0.011[/C][C]0.088[/C][C]0.476[/C][C]0.051[/C][/ROW]
[ROW][C]Alfabetismo[/C][C]0.5[/C][C]0.673[/C][C]-0.026[/C][C]-0.004[/C][C]0.441[/C][C]0.053[/C][/ROW]
[ROW][C]Matriculaci�n[/C][C]0.029[/C][C]0.592[/C][C]-0.047[/C][C]0.345[/C][C]0.53[/C][C]0.028[/C][/ROW]
[ROW][C]Urbanidad[/C][C]0.03[/C][C]0.86[/C][C]-0.252[/C][C]0.255[/C][C]0.124[/C][C]0.057[/C][/ROW]
[ROW][C]IH[/C][C]0.426[/C][C]0.768[/C][C]0.25[/C][C]-0.162[/C][C]0.01[/C][C]-0.209[/C][/ROW]
[ROW][C]ICV[/C][C]0.234[/C][C]0.814[/C][C]0.088[/C][C]-0.039[/C][C]0.264[/C][C]0.125[/C][/ROW]
[ROW][C]ISP[/C][C]-0.114[/C][C]0.889[/C][C]0.059[/C][C]-0.091[/C][C]0.023[/C][C]0.174[/C][/ROW]
[ROW][C]IBH[/C][C]0.183[/C][C]0.939[/C][C]0.13[/C][C]-0.098[/C][C]0.132[/C][C]0.056[/C][/ROW]
[ROW][C]Ocupados[/C][C]0.087[/C][C]-0.006[/C][C]0.062[/C][C]-0.973[/C][C]-0.031[/C][C]0.025[/C][/ROW]
[ROW][C]Desocupados[/C][C]-0.087[/C][C]0.006[/C][C]-0.062[/C][C]0.973[/C][C]0.031[/C][C]-0.025[/C][/ROW]
[ROW][C]Subocupados[/C][C]-0.392[/C][C]-0.162[/C][C]0.075[/C][C]-0.063[/C][C]0.07[/C][C]-0.88[/C][/ROW]
[ROW][C]OcupadosPlenos[/C][C]0.401[/C][C]0.16[/C][C]-0.067[/C][C]-0.061[/C][C]-0.073[/C][C]0.879[/C][/ROW]
[ROW][C]PobrezaTotal[/C][C]-0.309[/C][C]-0.385[/C][C]-0.628[/C][C]-0.071[/C][C]-0.545[/C][C]0.18[/C][/ROW]
[ROW][C]PobrezaExtrema[/C][C]-0.072[/C][C]-0.388[/C][C]-0.2[/C][C]-0.071[/C][C]-0.811[/C][C]0.14[/C][/ROW]
[ROW][C]PobrezaNoExtrema[/C][C]-0.525[/C][C]-0.133[/C][C]-0.738[/C][C]0.027[/C][C]0.091[/C][C]0.137[/C][/ROW]
[ROW][C]NoPobreza[/C][C]0.304[/C][C]0.392[/C][C]0.634[/C][C]0.07[/C][C]0.546[/C][C]-0.144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234382&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	Factor5	Factor6
Delitos	0.32	0.513	0.174	0.463	0.317	0.307
Capturas_Delitos	0.18	0.602	0.094	0.477	0.354	0.269
Armas_robadas	0.849	0.256	0.182	-0.07	-0.123	0.125
Homicidios	0.918	0.053	0.284	-0.062	0.141	0.164
OtrasMuertes	0.817	0.42	0.223	0.123	0.157	0.178
HArmaFuego_M	0.889	0.072	0.324	-0.035	0.164	0.154
HArmaFuego_F	0.793	0.199	0.423	-0.024	0.087	0.188
HNoArmaFuegoM	0.852	-0.033	0.09	-0.081	0.075	0.227
HNoArmaFuegoF	0.931	0.06	-0.197	-0.062	0.045	-0.029
OtrasMuertesT	0.817	0.42	0.223	0.123	0.157	0.178
OtrasMuertesH	0.83	0.385	0.199	0.114	0.202	0.192
OtrasMuertesM	0.711	0.544	0.275	0.128	0.003	0.103
DensidadPoblaci�n	-0.367	0.19	-0.739	0.19	-0.197	-0.057
Etnicidad	-0.689	-0.158	-0.246	0.255	-0.44	-0.211
Juventud	-0.461	-0.773	-0.19	-0.181	-0.087	-0.083
Escolaridad	0.418	0.704	-0.011	0.088	0.476	0.051
Alfabetismo	0.5	0.673	-0.026	-0.004	0.441	0.053
Matriculaci�n	0.029	0.592	-0.047	0.345	0.53	0.028
Urbanidad	0.03	0.86	-0.252	0.255	0.124	0.057
IH	0.426	0.768	0.25	-0.162	0.01	-0.209
ICV	0.234	0.814	0.088	-0.039	0.264	0.125
ISP	-0.114	0.889	0.059	-0.091	0.023	0.174
IBH	0.183	0.939	0.13	-0.098	0.132	0.056
Ocupados	0.087	-0.006	0.062	-0.973	-0.031	0.025
Desocupados	-0.087	0.006	-0.062	0.973	0.031	-0.025
Subocupados	-0.392	-0.162	0.075	-0.063	0.07	-0.88
OcupadosPlenos	0.401	0.16	-0.067	-0.061	-0.073	0.879
PobrezaTotal	-0.309	-0.385	-0.628	-0.071	-0.545	0.18
PobrezaExtrema	-0.072	-0.388	-0.2	-0.071	-0.811	0.14
PobrezaNoExtrema	-0.525	-0.133	-0.738	0.027	0.091	0.137
NoPobreza	0.304	0.392	0.634	0.07	0.546	-0.144

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 6 ;

Parameters (R input):

par1 = 6 ;

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

par1 <- '6'
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 factorial delitos homicidios y variables socioeconomicas ENCOVI 20...

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code