viol_eco
MG
2024-12-12
Tema
Violencia económica como base de violencia doméstica en relaciones de parejas heterosexuales
Explicacion
En la investigación de mi maestría quiero desarrollar el tema de como la violencia económica, tanto interfamiliar como laboral, puede formar parte de la base de otras formas de violencia doméstica (violencia sexual, física, psicológica y emocional), basando en los recursos limitados.
Planteamiento del problema:
El objetivo de este trabajo es comprender mejor la interrelación de la violencia en las relaciones heterosexuales. Para ello, quiero investigar cómo la violencia económica y otras formas de violencia se manifiestan en el ámbito familiar. Mi enfoque se basa en la hipótesis de que la violencia física y psicológica tienen su origen en la violencia económica. Este análisis se desarrollará a través de tres ejes principales: Primero, quiero explicar fundamentalmente la idea de la dominación masculina en los ámbitos privado y público. Examinaré el desarrollo histórico de la hegemonía masculina en estos ámbitos, utilizando como base teórica obras como El segundo sexo de Simone de Beauvoir, la teoría económica feminista y los trabajos de María Lugones. En segundo lugar, abordaré la idea de la violencia doméstica, explorando modelos como el Power and Control Wheel y sus críticas. Por el ultimo, analizaré la discriminación hacia las mujeres en el mundo laboral. Destacaré cómo los estereotipos patriarcales limitan el acceso de las mujeres a los recursos, aumentando la probabilidad de su dependencia económica en los hombres, lo que puede llevar a otras formas de violencia.
Justificacion:
Quiero estudiar este tema porque considero que la violencia de género es un problema fundamental en el contexto de una sociedad patriarcal y heteronormativa. Además, me parece crucial investigar cómo funcionan las diferentes formas de violencia doméstica en conjunto, pero tambien analizarlo separado. También es importante considerar factores externos al ámbito familiar y analizarlos en un contexto integral. La violencia económica interfamiliar es una forma de violencia muy indirecta y se manifiesta de manera muy oculta. Es muy difícil de detectar y, debido a los estereotipos tradicionales, muchas víctimas normalizan esta violencia. Estas dinámicas en las relaciones pueden afectar profundamente a las víctimas que desarrollan una forma de dependencia muy grave hacia sus parejas. A partir de otras formas de manipulación, la falta de libertad para salir de una relación tan tóxica puede derivar en otras formas de violencia. Creo que una investigación de esta extensión es necesaria para ver varios aspectos. Por un lado, una sociedad sexista que fuerza a las mujeres a roles tradicionales en el trabajo de cuidado; por otro lado, un mundo laboral fundamentalmente sexista que impone a las mujeres otras exigencias y las discrimina constantemente hacia las mujeres. Me parece importante desarrollar como estos dos factores afectan las relaciones interfamiliares o entre parejas.
Hipótesis
El origen de violencia domestica (violencia física, psicológica y emocional) es la violencia económica
Preguntas de investigación
Pregunta principal: ¿Cómo se convierte la violencia económica en la base de otras formas de violencia doméstica en relaciones heterosexuales, mediante el estudio de sus manifestaciones, causas estructurales e impactos en las dinámicas familiares? Preguntas específicas: 1. ¿Cuáles son las raíces históricas y sociales de la violencia económica en el marco del sistema patriarcal? 2. ¿Cómo afectan los estereotipos de género la autonomía económica de las mujeres y fomentan su dependencia en las relaciones de pareja? 3. A partir de “Gender Inequality in Latin America and the Caribbean”, ¿cómo agravan la discriminación laboral y las brechas económicas la violencia económica intrafamiliar? 4. Utilizando la ENDIREH, ¿cuál es la correlación/intersección entre la violencia económica y otras formas de violencia doméstica (física, psicológica, sexual y emocional)? 5. Desde la perspectiva de psicólogas de “Pro Psychological Analysis”, ¿cuáles son los patrones principales en la violencia doméstica y cómo actúa la violencia económica como base o refuerza otras formas de violencia?
Objetivo general y objetivos específicos:
Objetivo general • Analizar cómo la violencia económica se convierte en la base de otras formas de violencia doméstica en relaciones heterosexuales, mediante el estudio de sus manifestaciones, causas estructurales e impactos en las dinámicas familiares. Objetivos específicos 1. Identificar las raíces históricas y sociales de la violencia económica en el marco del sistema patriarcal. 2. Examinar cómo los estereotipos de género afectan la autonomía económica de las mujeres y fomentan su dependencia en las relaciones de pareja. 3. A partir de “Gender Inequality in Latin America and the Caribbean”: Analizar cómo la discriminación laboral y las brechas económicas agravan la violencia económica intrafamiliar. 4. Utilizando la ENDIREH: Explorar la correlación/intersección entre la violencia económica y otras formas de violencia doméstica (física, psicológica, sexual y emocional). 5. Desde la perspectiva de psicólogas de “Pro Psychological Analysis”: Identificar los patrones principales en la violencia doméstica y cómo la violencia económica actúa como base o refuerza otras formas de violencia.
Metodología:
Quiero utilizar la metodología de enfoque de métodos mixtos. Como expliqué, una base de mi investigación son diferentes teorías. Por otro lado, voy a analizar los datos de la Encuesta Nacional sobre la Dinámica de las Relaciones en los Hogares (ENDIREH), estadísticas sobre el trabajo no remunerado y la brecha de género en el mercado laboral, según el estudio de Berniell, Inés; Fernández, Raquel; Krutikova, Sonya (2023) “Gender Inequality in Latin America and the Caribbean”, así como entrevistas de psicólogas que trabajan con víctimas de violencia de “Pro psychological análisis”.
Analisis de datos de basis de ENDIREH
La Encuesta Nacional sobre la Dinámica de las Relaciones en los Hogares 2021 y 2016 nos presenta a continuación varias preguntas relacionadas con la violencia doméstica. El plan es verificar si hay una correlación entre la violencia económica y la violencia física, la violencia psicológica y la violencia sexual.
Índice
Carga de los conjuntos de datos
Explicación de las variables
Re-codificación de las variables a las 4 formas de violencia
Determinación de la correlación
Evaluación y comparación de las correlaciones
Carga de los conjuntos de datos
1. Cargo de los datos
library(readr)
violec16<-read.csv("C:/Master/3. Semester/R/Dataset/conjunto_de_datos_tb_sec_xiii_endireh_2016.csv", header = TRUE, sep = ",")
violec21<-read.csv("C:/Master/3. Semester/R/Dataset/TB_SEC_XIV.csv", header = TRUE, sep = ",")2. Explicación de las variables
violec16
violec21
Violencia fisica
| Variable 2016 | Variable 2021 | Preguntas | Respuestas | |
|---|---|---|---|---|
| P13_1_1 | P14_1_1 | la ha empujado o le ha jalado el cabello | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_2 | P14_1_2 | la ha abofeteado o cacheteado | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_3 | P14_1_3 | la ha amarrado | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_4 | P14_1_4 | a ha pateado | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_5 | P14_1_5 | le ha aventado algún objeto | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_6 | P14_1_6 | la ha golpeado con el puño o con algún objeto | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_7 | P14_1_7 | la ha tratado de ahorcar o asfixiar | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_8 | P14_1_8 | la ha agredido con cuchillo o navaja | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco | |
| P13_1_9 | P14_1_9 | le ha disparado con un arma de fuego | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
Violencia psicologica
| Variable | Variable 2021 | Pregunta | Respuesta |
|---|---|---|---|
| P13_1_10 | P14_1_10 | la ha avergonzado, ofendido, menospreciado o humillado (le ha dicho que es fea o la ha comparado con otras mujeres) | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_11 | P14_1_11 | a ha ignorado, no la toma en cuenta o no le brinda cariño | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_12 | P14_1_12 | le ha dicho que usted lo engaña | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_13 | P14_1_13 | le ha hecho sentir miedo | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_14 | P14_1_14 | la ha amenazado con dejarla/abandonarla, dañarla, quitarle a los(as) hijos(as) o correrla de la casa | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_15 | P14_1_15 | la ha encerrado, le ha prohibido salir o que la visite | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_16 | P14_1_16 | la ha vigilado, espiado, la ha seguido cuando sale de su casa o se le aparece de manera sorpresiva | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_17 | P14_1_17 | a llama o le manda mensajes por teléfono todo el tiempo, para saber dónde y con quién está y qué está haciendo | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_18 | P14_1_18 | la ha amenazado con algún arma (cuchillo, navaja, pistola o rifle) o con quemarla | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_19 | P14_1_19 | la ha amenazado con matarla, matarse él o matar a los niños(as) | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_20 | P14_1_20 | le ha destruido, tirado o escondido cosas de usted o del hogar | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_21 | P14_1_21 | le ha dejado de hablar | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_22 | P14_1_22 | le revisa su correo o celular y le exige que le dé las contraseñas | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_23AB | P14_1_23AB | ha hecho que los hijos(as) o parientes se pongan en su contra | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_24AB | P14_1_24AB | se ha enojado mucho porque no está listo el quehacer, porque la comida no está como él quiere o cree que usted no cumplió con sus obligaciones | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P14_1_31 | ha publicado información personal, fotos ovideos (falsos o verdaderos), de usted para dañarla, a través del celular, correo electrónico o redessociales (como Facebook, Twitter, WhatsApp | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
Violencia sexual
| Variable 2016 | Variable 2021 | Pregunta | Respuesta |
|---|---|---|---|
| P13_1_25 | P14_1_25 | le ha exigido con amenazas o chantajes tener relaciones sexuales, aunque usted no quiera | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_26 | P14_1_26 | cuando tienen relaciones sexuales la ha obligado hacer cosas que a usted no le gustan | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_27 | P14_1_27 | ha usado su fuerza física para obligarla a tener relaciones sexuales | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_28 | P14_1_28 | a ha obligado a mirar escenas o actos sexuales o pornográficos (fotos,revistas, videos o películas pornográficas) | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_29 | P14_1_29 | la ha obligado a tener relaciones sexuales sin protección | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P14_1_30 | le ha enviado mensajes o publicado comentarios con insinuaciones sexuales, insultos u ofensas,a través del celular, correo electrónico o redessociales (como Facebook, Twitter, WhatsApp) | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
Violencia economica
| Varialbe 2016 | Variabel 2021 | Preguntar | Respuesta |
|---|---|---|---|
| P13_1_30 | P14_1_32 | le ha prohibido trabajar o estudiar | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_31 | P14_1_33 | le ha quitado su dinero o lo ha usado sin su consentimiento | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_32 | P14_1_34 | se ha adueñado o le ha quitado bienes (terrenos, casas, departamentos, coches, etcétera) | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_33AB | P14_1_35AB | se ha gastado el dinero que se necesita para la casa | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_34AB | P14_1_36 | no ha cumplido con dar el gasto o ha amenazado con no darlo | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_35 AB | P14_1_37 | aunque tenga dinero ha sido codo o tacaño con los gastos de la casa | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
| P13_1_36 AB | P14_1_38 | le ha reclamado por cómo gasta usted el dinero | 1-muchas veces 2-pocoas veces 3-una vez 4-no ocurrio 9-no especifcico b-blanco |
Factoriazación de los variables
summary(violec16)## ID_VIV ID_MUJ UPM REN_M_ELE
## Min. : 100002 Length:111256 Min. : 100002 Min. : 1.000
## 1st Qu.: 905616 Class :character 1st Qu.: 905616 1st Qu.: 2.000
## Median :1701279 Mode :character Median :1701278 Median : 2.000
## Mean :1678960 Mean :1678960 Mean : 2.138
## 3rd Qu.:2461047 3rd Qu.:2461047 3rd Qu.: 2.000
## Max. :3260801 Max. :3260801 Max. :18.000
##
## VIV_SEL PROG HOGAR DOMINIO
## Min. : 1.000 Min. : 1.0 Min. :1.000 Length:111256
## 1st Qu.: 3.000 1st Qu.: 42.0 1st Qu.:1.000 Class :character
## Median : 5.000 Median : 84.0 Median :1.000 Mode :character
## Mean : 6.797 Mean :100.1 Mean :1.016
## 3rd Qu.:11.000 3rd Qu.:138.0 3rd Qu.:1.000
## Max. :40.000 Max. :863.0 Max. :5.000
##
## CVE_ENT NOM_ENT CVE_MUN NOM_MUN
## Min. : 1.00 Length:111256 Min. : 1.00 Length:111256
## 1st Qu.: 9.00 Class :character 1st Qu.: 7.00 Class :character
## Median :17.00 Mode :character Median : 20.00 Mode :character
## Mean :16.61 Mean : 40.12
## 3rd Qu.:24.00 3rd Qu.: 47.00
## Max. :32.00 Max. :565.00
##
## COD_RES COD_RES_MU T_INSTRUM P13_1_1 P13_1_2
## Min. :1 Min. :1 Length:111256 Min. :1.000 Min. :1.000
## 1st Qu.:1 1st Qu.:1 Class :character 1st Qu.:4.000 1st Qu.:4.000
## Median :1 Median :1 Mode :character Median :4.000 Median :4.000
## Mean :1 Mean :1 Mean :3.725 Mean :3.781
## 3rd Qu.:1 3rd Qu.:1 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :1 Max. :1 Max. :9.000 Max. :9.000
## NA's :5033 NA's :5033
## P13_1_3 P13_1_4 P13_1_5 P13_1_6
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.995 Mean :3.908 Mean :3.881 Mean :3.834
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :5033 NA's :5033 NA's :5033 NA's :5033
## P13_1_7 P13_1_8 P13_1_9 P13_1_10
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.956 Mean :3.981 Mean :3.999 Mean :3.657
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :5033 NA's :5033 NA's :5033 NA's :5033
## P13_1_11 P13_1_12 P13_1_13 P13_1_14 P13_1_15
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.0
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.0
## Median :4.000 Median :4.000 Median :4.000 Median :4.000 Median :4.0
## Mean :3.665 Mean :3.729 Mean :3.748 Mean :3.747 Mean :3.9
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.0
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.0
## NA's :5033 NA's :5033 NA's :5033 NA's :5033 NA's :5033
## P13_1_16 P13_1_17 P13_1_18 P13_1_19 P13_1_20
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00
## Median :4.000 Median :4.000 Median :4.000 Median :4.000 Median :4.00
## Mean :3.889 Mean :3.821 Mean :3.978 Mean :3.938 Mean :3.89
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.00
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.00
## NA's :5033 NA's :5033 NA's :5033 NA's :5033 NA's :5033
## P13_1_21 P13_1_22 P13_1_23AB P13_1_24AB
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00
## Median :4.000 Median :4.000 Median :4.000 Median :4.00
## Mean :3.489 Mean :3.858 Mean :3.891 Mean :3.74
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.00
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :4.00
## NA's :5033 NA's :5033 NA's :18811 NA's :18811
## P13_1_25 P13_1_26 P13_1_27 P13_1_28 P13_1_29
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.00 Median :4.000 Median :4.000
## Mean :3.902 Mean :3.947 Mean :3.93 Mean :3.991 Mean :3.948
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.00 Max. :9.000 Max. :9.000
## NA's :5033 NA's :5033 NA's :5033 NA's :5033 NA's :5033
## P13_1_30 P13_1_31 P13_1_32 P13_1_33AB
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.836 Mean :3.947 Mean :3.986 Mean :3.753
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :4.000
## NA's :5033 NA's :5033 NA's :5033 NA's :18811
## P13_1_34AB P13_1_35AB P13_1_36AB P13_2_1
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:1.00
## Median :4.000 Median :4.000 Median :4.000 Median :2.00
## Mean :3.769 Mean :3.757 Mean :3.741 Mean :2.39
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:3.00
## Max. :9.000 Max. :9.000 Max. :4.000 Max. :9.00
## NA's :18811 NA's :18811 NA's :18811 NA's :96592
## P13_3_1 P13_2_2 P13_3_2 P13_2_3
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.28 Mean :2.16 Mean :3.38 Mean :1.62
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :3.00
## NA's :96592 NA's :99290 NA's :99290 NA's :110619
## P13_3_3 P13_2_4 P13_3_4 P13_2_5
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.54 Mean :1.57 Mean :3.62 Mean :1.79
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :4.00 Max. :9.00
## NA's :110619 NA's :106309 NA's :106309 NA's :104730
## P13_3_5 P13_2_6 P13_3_6 P13_2_7
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.54 Mean :2.14 Mean :3.32 Mean :1.41
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :4.00 Max. :3.00
## NA's :104730 NA's :102543 NA's :102543 NA's :108102
## P13_3_7 P13_2_8 P13_3_8 P13_2_9
## Min. :1.00 Min. :1.0 Min. :1.0 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.0 1st Qu.:4.0 1st Qu.:1.00
## Median :4.00 Median :1.0 Median :4.0 Median :1.00
## Mean :3.59 Mean :1.4 Mean :3.7 Mean :1.48
## 3rd Qu.:4.00 3rd Qu.:2.0 3rd Qu.:4.0 3rd Qu.:2.00
## Max. :4.00 Max. :9.0 Max. :9.0 Max. :3.00
## NA's :108102 NA's :109702 NA's :109702 NA's :110818
## P13_3_9 P13_2_10 P13_3_10 P13_2_11
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:2.00
## Median :4.00 Median :2.00 Median :2.00 Median :2.00
## Mean :3.76 Mean :3.74 Mean :2.75 Mean :2.06
## 3rd Qu.:4.00 3rd Qu.:9.00 3rd Qu.:4.00 3rd Qu.:3.00
## Max. :4.00 Max. :9.00 Max. :4.00 Max. :3.00
## NA's :110818 NA's :94371 NA's :94371 NA's :95671
## P13_3_11 P13_2_12 P13_3_12 P13_2_13
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.16 Mean :2.13 Mean :3.13 Mean :1.74
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :95671 NA's :97902 NA's :97902 NA's :99423
## P13_3_13 P13_2_14 P13_3_14 P13_2_15
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.37 Mean :2.67 Mean :3.01 Mean :1.81
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :4.00 Max. :3.00
## NA's :99423 NA's :98600 NA's :98600 NA's :106347
## P13_3_15 P13_2_16 P13_3_16 P13_2_17
## Min. :1.00 Min. :1 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1 1st Qu.:2.00 1st Qu.:2.00
## Median :4.00 Median :2 Median :4.00 Median :3.00
## Mean :3.33 Mean :2 Mean :3.23 Mean :2.34
## 3rd Qu.:4.00 3rd Qu.:3 3rd Qu.:4.00 3rd Qu.:3.00
## Max. :4.00 Max. :9 Max. :4.00 Max. :3.00
## NA's :106347 NA's :105581 NA's :105581 NA's :103103
## P13_3_17 P13_2_18 P13_3_18 P13_2_19
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :2.00 Median :1.00 Median :4.00 Median :1.00
## Mean :2.58 Mean :1.39 Mean :3.66 Mean :1.46
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :103103 NA's :109584 NA's :109584 NA's :107608
## P13_3_19 P13_2_20 P13_3_20 P13_2_21
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.0
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:2.0
## Median :4.00 Median :2.00 Median :4.00 Median :3.0
## Mean :3.42 Mean :1.86 Mean :3.42 Mean :2.5
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:3.0
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :9.0
## NA's :107608 NA's :105248 NA's :105248 NA's :86416
## P13_3_21 P13_2_22 P13_3_22 P13_2_23AB
## Min. :1.00 Min. :1.00 Min. :1.0 Min. :1.0
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.0 1st Qu.:1.0
## Median :4.00 Median :2.00 Median :2.0 Median :2.0
## Mean :3.04 Mean :2.25 Mean :2.6 Mean :1.8
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.0 3rd Qu.:2.0
## Max. :9.00 Max. :3.00 Max. :4.0 Max. :9.0
## NA's :86416 NA's :104304 NA's :104304 NA's :106772
## P13_3_23AB P13_2_24AB P13_3_24AB P13_2_25
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.16 Mean :2.34 Mean :3.08 Mean :1.65
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :106772 NA's :100555 NA's :100555 NA's :106563
## P13_3_25 P13_2_26 P13_3_26 P13_2_27
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1.0 1st Qu.:3.00 1st Qu.:1.00
## Median :4.00 Median :1.0 Median :4.00 Median :1.00
## Mean :3.35 Mean :1.6 Mean :3.37 Mean :1.53
## 3rd Qu.:4.00 3rd Qu.:2.0 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :3.0 Max. :4.00 Max. :9.00
## NA's :106563 NA's :108466 NA's :108466 NA's :107563
## P13_3_27 P13_2_28 P13_3_28 P13_2_29
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.48 Mean :1.74 Mean :3.41 Mean :1.72
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :107563 NA's :110478 NA's :110478 NA's :108765
## P13_3_29 P13_2_30 P13_3_30 P13_2_31
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.43 Mean :2.12 Mean :3.24 Mean :1.66
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :108765 NA's :103338 NA's :103338 NA's :108369
## P13_3_31 P13_2_32 P13_3_32 P13_2_33AB
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00
## Median :4.00 Median :1.00 Median :4.00 Median :2.00
## Mean :3.36 Mean :1.61 Mean :3.52 Mean :1.76
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :108369 NA's :110079 NA's :110079 NA's :101582
## P13_3_33AB P13_2_34AB P13_3_34AB P13_2_35AB
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.28 Mean :2.86 Mean :2.92 Mean :1.88
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :4.00 Max. :9.00
## NA's :101582 NA's :102229 NA's :102229 NA's :102170
## P13_3_35AB P13_2_36AB P13_3_36AB P13_4
## Min. :1.00 Min. :1.00 Min. :1.0 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.0 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :3.0 Median :2.00
## Mean :3.06 Mean :2.26 Mean :2.9 Mean :1.77
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.0 3rd Qu.:2.00
## Max. :9.00 Max. :3.00 Max. :4.0 Max. :9.00
## NA's :102170 NA's :100959 NA's :100959 NA's :66889
## P13_5_1 P13_5_2 P13_5_3 P13_5_4
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:2.00
## Median :1.00 Median :2.00 Median :2.00 Median :2.00
## Mean :1.21 Mean :1.57 Mean :1.89 Mean :1.84
## 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :2.00 Max. :2.00 Max. :2.00 Max. :2.00
## NA's :90803 NA's :90803 NA's :90803 NA's :90803
## P13_5_5 P13_5_6 P13_5_7 P13_6
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.0
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.0
## Median :2.00 Median :2.00 Median :2.00 Median :2.0
## Mean :1.93 Mean :1.93 Mean :1.97 Mean :1.9
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.0
## Max. :2.00 Max. :2.00 Max. :2.00 Max. :9.0
## NA's :90803 NA's :90803 NA's :90803 NA's :66889
## P13_7_1 P13_7_2 P13_8_1 P13_8_2
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :2.14 Mean :2.17 Mean :2.09 Mean :2.08
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :66889 NA's :66889 NA's :107315 NA's :107315
## P13_8_3 P13_8_4 P13_8_5 P13_8_6
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :2.18 Mean :2.11 Mean :2.14 Mean :2.15
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :107315 NA's :107315 NA's :107315 NA's :107315
## P13_8_7 P13_8_8 P13_8_9 P13_8_10
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :2.06 Mean :2.14 Mean :2.16 Mean :1.65
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :107315 NA's :107315 NA's :107315 NA's :107315
## P13_8_11 P13_9_1_1 P13_9_1_2 P13_9_1_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :2.00 Median :1.00 Median :2.00 Median :3.00
## Mean :2.03 Mean :1.48 Mean :2.46 Mean :3.11
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :9.00 Max. :5.00 Max. :4.00 Max. :4.00
## NA's :107315 NA's :110866 NA's :111074 NA's :111191
## P13_10_1 P13_11_1 P13_12_1 P13_9_2_1
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.00
## Median :5.00 Median :1.00 Median :1.00 Median :1.00
## Mean :4.88 Mean :1.47 Mean :1.53 Mean :1.49
## 3rd Qu.:6.00 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:2.00
## Max. :8.00 Max. :9.00 Max. :9.00 Max. :5.00
## NA's :110866 NA's :110866 NA's :110866 NA's :110767
## P13_9_2_2 P13_9_2_3 P13_10_2 P13_11_2
## Min. :2.00 Min. :3.0 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:3.0 1st Qu.:4.00 1st Qu.:1.00
## Median :2.00 Median :3.0 Median :5.00 Median :1.00
## Mean :2.47 Mean :3.1 Mean :4.75 Mean :1.29
## 3rd Qu.:3.00 3rd Qu.:3.0 3rd Qu.:6.00 3rd Qu.:1.00
## Max. :4.00 Max. :4.0 Max. :8.00 Max. :9.00
## NA's :111013 NA's :111169 NA's :110767 NA's :110767
## P13_12_2 P13_9_3_1 P13_9_3_2 P13_9_3_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :1.00 Median :1.00 Median :2.00 Median :3.00
## Mean :1.36 Mean :1.90 Mean :2.52 Mean :3.09
## 3rd Qu.:1.00 3rd Qu.:2.25 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :9.00 Max. :5.00 Max. :5.00 Max. :4.00
## NA's :110767 NA's :111144 NA's :111229 NA's :111245
## P13_10_3 P13_11_3 P13_12_3 P13_9_4_1
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.0 1st Qu.:1.00 1st Qu.:1.00
## Median :5.00 Median :1.0 Median :1.00 Median :1.00
## Mean :4.75 Mean :1.3 Mean :1.36 Mean :1.53
## 3rd Qu.:6.00 3rd Qu.:1.0 3rd Qu.:1.00 3rd Qu.:2.00
## Max. :8.00 Max. :3.0 Max. :4.00 Max. :5.00
## NA's :111144 NA's :111144 NA's :111144 NA's :111042
## P13_9_4_2 P13_9_4_3 P13_10_4 P13_11_4
## Min. :2.00 Min. :3.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:3.00 1st Qu.:4.00 1st Qu.:1.00
## Median :3.00 Median :3.00 Median :5.00 Median :1.00
## Mean :2.71 Mean :3.21 Mean :4.81 Mean :2.58
## 3rd Qu.:3.00 3rd Qu.:3.00 3rd Qu.:6.00 3rd Qu.:1.00
## Max. :5.00 Max. :5.00 Max. :8.00 Max. :9.00
## NA's :111136 NA's :111228 NA's :111042 NA's :111042
## P13_12_4 P13_9_5_1 P13_9_5_2 P13_9_5_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :1.00 Median :1.00 Median :2.00 Median :3.00
## Mean :2.63 Mean :1.55 Mean :2.46 Mean :3.22
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :9.00 Max. :5.00 Max. :4.00 Max. :5.00
## NA's :111042 NA's :111004 NA's :111118 NA's :111202
## P13_10_5 P13_11_5 P13_12_5 P13_9_6_1
## Min. :1.0 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.0 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.00
## Median :5.0 Median :1.00 Median :1.00 Median :1.00
## Mean :4.6 Mean :1.25 Mean :1.31 Mean :1.55
## 3rd Qu.:6.0 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:2.00
## Max. :8.0 Max. :9.00 Max. :9.00 Max. :5.00
## NA's :111004 NA's :111004 NA's :111004 NA's :111038
## P13_9_6_2 P13_9_6_3 P13_10_6 P13_11_6
## Min. :2.00 Min. :3.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:3.00 1st Qu.:4.00 1st Qu.:1.00
## Median :2.00 Median :3.00 Median :5.00 Median :1.00
## Mean :2.31 Mean :3.13 Mean :4.79 Mean :1.33
## 3rd Qu.:3.00 3rd Qu.:3.00 3rd Qu.:6.00 3rd Qu.:1.00
## Max. :4.00 Max. :4.00 Max. :8.00 Max. :9.00
## NA's :111157 NA's :111210 NA's :111038 NA's :111038
## P13_12_6 P13_9_7_1 P13_9_7_2 P13_9_7_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :1.00 Median :2.00 Median :2.00 Median :3.00
## Mean :1.42 Mean :1.69 Mean :2.33 Mean :3.39
## 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:4.00
## Max. :9.00 Max. :5.00 Max. :4.00 Max. :4.00
## NA's :111038 NA's :110689 NA's :111065 NA's :111207
## P13_10_7 P13_11_7 P13_12_7 P13_9_8_1
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.0 1st Qu.:1.00 1st Qu.:1.00
## Median :4.00 Median :1.0 Median :1.00 Median :3.00
## Mean :4.15 Mean :1.3 Mean :1.48 Mean :2.52
## 3rd Qu.:6.00 3rd Qu.:2.0 3rd Qu.:2.00 3rd Qu.:3.00
## Max. :8.00 Max. :3.0 Max. :4.00 Max. :5.00
## NA's :110689 NA's :110689 NA's :110689 NA's :110998
## P13_9_8_2 P13_9_8_3 P13_10_8 P13_11_8
## Min. :2.00 Min. :3.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:4.00 1st Qu.:4.00 1st Qu.:1.00
## Median :3.00 Median :4.00 Median :5.00 Median :1.00
## Mean :3.19 Mean :3.91 Mean :4.53 Mean :1.15
## 3rd Qu.:4.00 3rd Qu.:4.00 3rd Qu.:6.00 3rd Qu.:1.00
## Max. :5.00 Max. :4.00 Max. :8.00 Max. :3.00
## NA's :111175 NA's :111223 NA's :110998 NA's :110998
## P13_12_8 P13_9_9_1 P13_9_9_2 P13_9_9_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.0
## 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:3.00 1st Qu.:3.0
## Median :1.00 Median :3.00 Median :3.00 Median :3.5
## Mean :1.22 Mean :2.69 Mean :3.07 Mean :3.5
## 3rd Qu.:1.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:4.0
## Max. :3.00 Max. :5.00 Max. :4.00 Max. :4.0
## NA's :110998 NA's :111050 NA's :111212 NA's :111244
## P13_10_9 P13_11_9 FAC_VIV FAC_MUJ
## Min. :1.00 Min. :1.00 Min. : 29.0 Min. : 29
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.: 122.0 1st Qu.: 158
## Median :5.00 Median :1.00 Median : 206.0 Median : 275
## Mean :4.71 Mean :1.07 Mean : 271.9 Mean : 418
## 3rd Qu.:6.00 3rd Qu.:1.00 3rd Qu.: 328.0 3rd Qu.: 507
## Max. :8.00 Max. :3.00 Max. :2879.0 Max. :13706
## NA's :111050 NA's :111050
## ESTRATO UPM_DIS EST_DIS
## Min. :1.000 Min. : 1 Min. : 10
## 1st Qu.:2.000 1st Qu.: 4984 1st Qu.:1540
## Median :2.000 Median : 9432 Median :3020
## Mean :2.181 Mean : 9388 Mean :3015
## 3rd Qu.:3.000 3rd Qu.:13783 3rd Qu.:4420
## Max. :4.000 Max. :17996 Max. :6190
## violec16$P13_1_1=as.factor(violec16$P13_1_1)
violec16$P13_1_2=as.factor(violec16$P13_1_2)
violec16$P13_1_3=as.factor(violec16$P13_1_3)
violec16$P13_1_4=as.factor(violec16$P13_1_4)
violec16$P13_1_5=as.factor(violec16$P13_1_5)
violec16$P13_1_6=as.factor(violec16$P13_1_6)
violec16$P13_1_7=as.factor(violec16$P13_1_7)
violec16$P13_1_8=as.factor(violec16$P13_1_8)
violec16$P13_1_9=as.factor(violec16$P13_1_9)
violec16$P13_1_10=as.factor(violec16$P13_1_10)
violec16$P13_1_11=as.factor(violec16$P13_1_11)
violec16$P13_1_12=as.factor(violec16$P13_1_12)
violec16$P13_1_13=as.factor(violec16$P13_1_13)
violec16$P13_1_14=as.factor(violec16$P13_1_14)
violec16$P13_1_15=as.factor(violec16$P13_1_15)
violec16$P13_1_16=as.factor(violec16$P13_1_16)
violec16$P13_1_17=as.factor(violec16$P13_1_17)
violec16$P13_1_18=as.factor(violec16$P13_1_18)
violec16$P13_1_19=as.factor(violec16$P13_1_19)
violec16$P13_1_20=as.factor(violec16$P13_1_20)
violec16$P13_1_21=as.factor(violec16$P13_1_21)
violec16$P13_1_22=as.factor(violec16$P13_1_22)
violec16$P13_1_23AB=as.factor(violec16$P13_1_23AB)
violec16$P13_1_24AB=as.factor(violec16$P13_1_24AB)
violec16$P13_1_25=as.factor(violec16$P13_1_25)
violec16$P13_1_26=as.factor(violec16$P13_1_26)
violec16$P13_1_27=as.factor(violec16$P13_1_27)
violec16$P13_1_28=as.factor(violec16$P13_1_28)
violec16$P13_1_29=as.factor(violec16$P13_1_29)
violec16$P13_1_30=as.factor(violec16$P13_1_30)
violec16$P13_1_31=as.factor(violec16$P13_1_31)
violec16$P13_1_32=as.factor(violec16$P13_1_32)
violec16$P13_1_33AB=as.factor(violec16$P13_1_33AB)
violec16$P13_1_34AB=as.factor(violec16$P13_1_34AB)
violec16$P13_1_35AB=as.factor(violec16$P13_1_35AB)
violec16$P13_1_36AB=as.factor(violec16$P13_1_36AB)summary(violec21)## ID_VIV ID_PER UPM VIV_SEL
## Min. : 100003 Length:110127 Min. : 100003 Min. : 1.000
## 1st Qu.: 901896 Class :character 1st Qu.: 901896 1st Qu.: 3.000
## Median :1700133 Mode :character Median :1700133 Median : 5.000
## Mean :1673100 Mean :1673100 Mean : 6.787
## 3rd Qu.:2500213 3rd Qu.:2500213 3rd Qu.:11.000
## Max. :3260787 Max. :3260787 Max. :24.000
##
## HOGAR N_REN DOMINIO CVE_ENT
## Min. :1.000 Min. : 1.000 Length:110127 Min. : 1.00
## 1st Qu.:1.000 1st Qu.: 1.000 Class :character 1st Qu.: 9.00
## Median :1.000 Median : 2.000 Mode :character Median :17.00
## Mean :1.016 Mean : 2.078 Mean :16.55
## 3rd Qu.:1.000 3rd Qu.: 2.000 3rd Qu.:25.00
## Max. :5.000 Max. :18.000 Max. :32.00
##
## NOM_ENT CVE_MUN NOM_MUN T_INSTRUM
## Length:110127 Min. : 1.00 Length:110127 Length:110127
## Class :character 1st Qu.: 7.00 Class :character Class :character
## Mode :character Median : 19.00 Mode :character Mode :character
## Mean : 38.83
## 3rd Qu.: 44.00
## Max. :570.00
##
## P14_1_1 P14_1_2 P14_1_3 P14_1_4 P14_1_5
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00
## Median :4.000 Median :4.000 Median :4.000 Median :4.000 Median :4.00
## Mean :3.738 Mean :3.796 Mean :3.988 Mean :3.916 Mean :3.88
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.00
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.00
## NA's :4849 NA's :4849 NA's :4849 NA's :4849 NA's :4849
## P14_1_6 P14_1_7 P14_1_8 P14_1_9 P14_1_10
## Min. :1.000 Min. :1.00 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:4.00 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.00 Median :4.00 Median :4.000 Median :4.000
## Mean :3.852 Mean :3.95 Mean :3.98 Mean :3.997 Mean :3.686
## 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.00 Max. :9.00 Max. :9.000 Max. :9.000
## NA's :4849 NA's :4849 NA's :4849 NA's :4849 NA's :4849
## P14_1_11 P14_1_12 P14_1_13 P14_1_14
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.671 Mean :3.708 Mean :3.752 Mean :3.768
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :4849 NA's :4849 NA's :4849 NA's :4849
## P14_1_15 P14_1_16 P14_1_17 P14_1_18 P14_1_19
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.00 Median :4.000 Median :4.000
## Mean :3.894 Mean :3.883 Mean :3.79 Mean :3.975 Mean :3.937
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.00 Max. :9.000 Max. :9.000
## NA's :4849 NA's :4849 NA's :4849 NA's :4849 NA's :4849
## P14_1_20 P14_1_21 P14_1_22 P14_1_23AB
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.893 Mean :3.547 Mean :3.849 Mean :3.883
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :4.000
## NA's :4849 NA's :4849 NA's :4849 NA's :19436
## P14_1_24AB P14_1_25 P14_1_26 P14_1_27
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.792 Mean :3.898 Mean :3.936 Mean :3.927
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :4.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :19436 NA's :4849 NA's :4849 NA's :4849
## P14_1_28 P14_1_29 P14_1_30 P14_1_31
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.987 Mean :3.938 Mean :3.983 Mean :3.998
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :4849 NA's :4849 NA's :4849 NA's :4849
## P14_1_32 P14_1_33 P14_1_34 P14_1_35AB
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.835 Mean :3.941 Mean :3.983 Mean :3.774
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :4.000
## NA's :4849 NA's :4849 NA's :4849 NA's :19436
## P14_1_36AB P14_1_37AB P14_1_38AB P14_2_1
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:1.00
## Median :4.000 Median :4.000 Median :4.000 Median :2.00
## Mean :3.776 Mean :3.757 Mean :3.761 Mean :2.16
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.00
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :9.00
## NA's :19436 NA's :19436 NA's :19436 NA's :96154
## P14_3_1 P14_2_2 P14_3_2 P14_2_3
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.41 Mean :2.07 Mean :3.43 Mean :1.47
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :4.00 Max. :3.00
## NA's :96154 NA's :99141 NA's :99141 NA's :109395
## P14_3_3 P14_2_4 P14_3_4 P14_2_5
## Min. :1.0 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.0 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :4.0 Median :1.00 Median :4.00 Median :2.00
## Mean :3.6 Mean :1.49 Mean :3.67 Mean :1.68
## 3rd Qu.:4.0 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.0 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :109395 NA's :105809 NA's :105809 NA's :103800
## P14_3_5 P14_2_6 P14_3_6 P14_2_7
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.59 Mean :2.11 Mean :3.36 Mean :1.33
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :3.00
## NA's :103800 NA's :102571 NA's :102571 NA's :106975
## P14_3_7 P14_2_8 P14_3_8 P14_2_9
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :4.00 Median :1.00 Median :4.00 Median :1.00
## Mean :3.63 Mean :1.29 Mean :3.67 Mean :1.34
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :106975 NA's :108777 NA's :108777 NA's :109768
## P14_3_9 P14_2_10 P14_3_10 P14_2_11
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :2.00 Median :2.00
## Mean :3.74 Mean :3.49 Mean :2.85 Mean :2.02
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:3.00
## Max. :4.00 Max. :9.00 Max. :4.00 Max. :9.00
## NA's :109768 NA's :94934 NA's :94934 NA's :94980
## P14_3_11 P14_2_12 P14_3_12 P14_2_13
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.24 Mean :2.07 Mean :3.21 Mean :1.64
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :94980 NA's :96275 NA's :96275 NA's :98858
## P14_3_13 P14_2_14 P14_3_14 P14_2_15
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.41 Mean :2.45 Mean :3.11 Mean :1.72
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :98858 NA's :98972 NA's :98972 NA's :105248
## P14_3_15 P14_2_16 P14_3_16 P14_2_17
## Min. :1.0 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.0 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:2.00
## Median :4.0 Median :2.00 Median :4.00 Median :2.00
## Mean :3.4 Mean :1.84 Mean :3.33 Mean :2.26
## 3rd Qu.:4.0 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:3.00
## Max. :9.0 Max. :3.00 Max. :4.00 Max. :9.00
## NA's :105248 NA's :104527 NA's :104527 NA's :100778
## P14_3_17 P14_2_18 P14_3_18 P14_2_19
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :3.00 Median :1.00 Median :4.00 Median :1.00
## Mean :2.81 Mean :1.31 Mean :3.68 Mean :1.38
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :100778 NA's :108615 NA's :108615 NA's :106715
## P14_3_19 P14_2_20 P14_3_20 P14_2_21
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:2.00
## Median :4.00 Median :2.00 Median :4.00 Median :3.00
## Mean :3.49 Mean :1.73 Mean :3.47 Mean :2.43
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:3.00
## Max. :9.00 Max. :3.00 Max. :4.00 Max. :9.00
## NA's :106715 NA's :104653 NA's :104653 NA's :88838
## P14_3_21 P14_2_22 P14_3_22 P14_2_23AB
## Min. :1.0 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.0 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.0 Median :2.00 Median :3.00 Median :2.00
## Mean :3.1 Mean :2.13 Mean :2.83 Mean :1.75
## 3rd Qu.:4.0 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :9.0 Max. :9.00 Max. :9.00 Max. :3.00
## NA's :88838 NA's :103121 NA's :103121 NA's :105328
## P14_3_23AB P14_2_24AB P14_3_24AB P14_2_25
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.0 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.0 Median :4.00 Median :1.00
## Mean :3.26 Mean :2.2 Mean :3.19 Mean :1.54
## 3rd Qu.:4.00 3rd Qu.:3.0 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.0 Max. :4.00 Max. :3.00
## NA's :105328 NA's :101708 NA's :101708 NA's :105416
## P14_3_25 P14_2_26 P14_3_26 P14_2_27
## Min. :1.0 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.0 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00
## Median :4.0 Median :1.00 Median :4.00 Median :1.00
## Mean :3.4 Mean :1.48 Mean :3.46 Mean :1.41
## 3rd Qu.:4.0 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.0 Max. :3.00 Max. :4.00 Max. :9.00
## NA's :105416 NA's :107088 NA's :107088 NA's :106597
## P14_3_27 P14_2_28 P14_3_28 P14_2_29
## Min. :1.00 Min. :1.00 Min. :1.0 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:4.0 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.0 Median :1.00
## Mean :3.55 Mean :1.67 Mean :3.5 Mean :1.59
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.0 3rd Qu.:2.00
## Max. :9.00 Max. :3.00 Max. :4.0 Max. :3.00
## NA's :106597 NA's :109378 NA's :109378 NA's :107370
## P14_3_29 P14_2_30 P14_3_30 P14_2_31
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:4.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.48 Mean :1.72 Mean :2.92 Mean :1.46
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :3.00
## NA's :107370 NA's :109164 NA's :109164 NA's :109860
## P14_3_31 P14_2_32 P14_3_32 P14_2_33
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :2.00
## Mean :3.28 Mean :2.02 Mean :3.39 Mean :1.58
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :9.00 Max. :3.00
## NA's :109860 NA's :102092 NA's :102092 NA's :107205
## P14_3_33 P14_2_34 P14_3_34 P14_2_35AB
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:4.00 1st Qu.:1.00
## Median :4.00 Median :1.00 Median :4.00 Median :2.00
## Mean :3.47 Mean :1.51 Mean :3.61 Mean :1.66
## 3rd Qu.:4.00 3rd Qu.:2.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.00 Max. :9.00 Max. :3.00
## NA's :107205 NA's :108953 NA's :108953 NA's :101555
## P14_3_35AB P14_2_36AB P14_3_36AB P14_2_37AB
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:1.0 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.0 Median :4.00 Median :2.00
## Mean :3.39 Mean :2.7 Mean :3.02 Mean :1.83
## 3rd Qu.:4.00 3rd Qu.:2.0 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :9.0 Max. :9.00 Max. :3.00
## NA's :101555 NA's :101699 NA's :101699 NA's :101332
## P14_3_37AB P14_2_38AB P14_3_38AB P14_4
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :4.00 Median :2.00 Median :4.00 Median :1.00
## Mean :3.11 Mean :2.16 Mean :3.01 Mean :1.69
## 3rd Qu.:4.00 3rd Qu.:3.00 3rd Qu.:4.00 3rd Qu.:2.00
## Max. :4.00 Max. :3.00 Max. :4.00 Max. :9.00
## NA's :101332 NA's :100915 NA's :100915 NA's :68551
## P14_5_1 P14_5_2 P14_5_3 P14_5_4
## Min. :1.0 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:1.0 1st Qu.:1.0 1st Qu.:2.00 1st Qu.:2.00
## Median :1.0 Median :2.0 Median :2.00 Median :2.00
## Mean :1.2 Mean :1.6 Mean :1.91 Mean :1.83
## 3rd Qu.:1.0 3rd Qu.:2.0 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :2.0 Max. :2.0 Max. :2.00 Max. :2.00
## NA's :88944 NA's :88944 NA's :88944 NA's :88944
## P14_5_5 P14_5_6 P14_5_7 P14_6
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :1.93 Mean :1.94 Mean :1.98 Mean :1.82
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :2.00 Max. :2.00 Max. :2.00 Max. :9.00
## NA's :88944 NA's :88944 NA's :88944 NA's :68551
## P14_7_1 P14_7_2 P14_8_1 P14_8_2
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:2.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :2.13 Mean :2.13 Mean :1.98 Mean :2.24
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :68551 NA's :68551 NA's :106976 NA's :106976
## P14_8_3 P14_8_4 P14_8_5 P14_8_6
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:2.00
## Median :2.00 Median :2.00 Median :2.00 Median :2.00
## Mean :2.08 Mean :2.18 Mean :2.14 Mean :2.13
## 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :106976 NA's :106976 NA's :106976 NA's :106976
## P14_8_7 P14_8_8 P14_8_9 P14_8_10
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.:2.0 1st Qu.:1.00 1st Qu.:2.00
## Median :2.00 Median :2.0 Median :2.00 Median :2.00
## Mean :2.13 Mean :2.2 Mean :1.96 Mean :2.22
## 3rd Qu.:2.00 3rd Qu.:2.0 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.0 Max. :9.00 Max. :9.00
## NA's :106976 NA's :106976 NA's :106976 NA's :106976
## P14_8_10E R14_8_10X P14_9_1_1 P14_9_1_2
## Length:110127 Min. :11 Min. :1.0 Min. :2.00
## Class :character 1st Qu.:11 1st Qu.:1.0 1st Qu.:2.00
## Mode :character Median :11 Median :1.0 Median :2.00
## Mean :11 Mean :1.5 Mean :2.36
## 3rd Qu.:11 3rd Qu.:2.0 3rd Qu.:3.00
## Max. :11 Max. :5.0 Max. :4.00
## NA's :110023 NA's :109198 NA's :109646
## P14_9_1_3 P14_10_1 P14_11_1 P14_12_1
## Min. :3.00 Min. :1979 Min. : 1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:2014 1st Qu.: 6.00 1st Qu.:1.00
## Median :3.00 Median :2018 Median :10.00 Median :1.00
## Mean :3.09 Mean :2531 Mean :12.76 Mean :1.34
## 3rd Qu.:3.00 3rd Qu.:2020 3rd Qu.:14.00 3rd Qu.:1.00
## Max. :4.00 Max. :9999 Max. :99.00 Max. :9.00
## NA's :109889 NA's :109198 NA's :109198 NA's :109198
## P14_13_1 P14_9_2_1 P14_9_2_2 P14_9_2_3
## Min. :1.0 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:1.0 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :1.0 Median :1.00 Median :2.00 Median :3.00
## Mean :1.4 Mean :1.74 Mean :2.46 Mean :3.28
## 3rd Qu.:1.0 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :9.0 Max. :5.00 Max. :5.00 Max. :5.00
## NA's :109198 NA's :109956 NA's :110075 NA's :110109
## P14_10_2 P14_11_2 P14_12_2 P14_13_2
## Min. :1985 Min. : 1.0 Min. :1.0 Min. :1.00
## 1st Qu.:2017 1st Qu.: 5.5 1st Qu.:1.0 1st Qu.:1.00
## Median :2020 Median : 7.0 Median :1.0 Median :1.00
## Mean :2298 Mean :10.2 Mean :1.4 Mean :1.39
## 3rd Qu.:2021 3rd Qu.:14.0 3rd Qu.:2.0 3rd Qu.:1.00
## Max. :8888 Max. :38.0 Max. :3.0 Max. :4.00
## NA's :109956 NA's :109956 NA's :109956 NA's :109956
## P14_9_3_1 P14_9_3_2 P14_9_3_3 P14_10_3
## Min. :1.00 Min. :2.00 Min. :3.00 Min. :1981
## 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00 1st Qu.:2013
## Median :1.00 Median :3.00 Median :3.00 Median :2020
## Mean :1.75 Mean :2.73 Mean :3.26 Mean :4020
## 3rd Qu.:2.25 3rd Qu.:3.00 3rd Qu.:3.75 3rd Qu.:8888
## Max. :5.00 Max. :4.00 Max. :4.00 Max. :9999
## NA's :109827 NA's :109985 NA's :110089 NA's :109827
## P14_11_3 P14_12_3 P14_13_3 P14_9_4_1
## Min. : 1.00 Min. :1.0 Min. :1.00 Min. :1.00
## 1st Qu.: 6.00 1st Qu.:1.0 1st Qu.:1.00 1st Qu.:1.00
## Median :13.00 Median :1.0 Median :1.00 Median :1.00
## Mean :27.68 Mean :2.6 Mean :2.65 Mean :1.59
## 3rd Qu.:33.00 3rd Qu.:2.0 3rd Qu.:3.00 3rd Qu.:2.00
## Max. :99.00 Max. :9.0 Max. :9.00 Max. :5.00
## NA's :109827 NA's :109827 NA's :109827 NA's :109809
## P14_9_4_2 P14_9_4_3 P14_10_4 P14_11_4
## Min. :2.00 Min. :3.00 Min. :1991 Min. : 1.00
## 1st Qu.:2.00 1st Qu.:3.00 1st Qu.:2011 1st Qu.: 6.00
## Median :2.00 Median :3.00 Median :2017 Median : 7.00
## Mean :2.49 Mean :3.18 Mean :2673 Mean :11.18
## 3rd Qu.:3.00 3rd Qu.:3.00 3rd Qu.:2020 3rd Qu.:14.00
## Max. :5.00 Max. :5.00 Max. :9999 Max. :99.00
## NA's :109963 NA's :110059 NA's :109809 NA's :109809
## P14_12_4 P14_13_4 P14_9_5_1 P14_9_5_2
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :2.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00
## Median :1.00 Median :1.00 Median :1.00 Median :2.00
## Mean :1.32 Mean :1.43 Mean :1.54 Mean :2.41
## 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:3.00
## Max. :9.00 Max. :9.00 Max. :5.00 Max. :5.00
## NA's :109809 NA's :109809 NA's :109718 NA's :109899
## P14_9_5_3 P14_10_5 P14_11_5 P14_12_5
## Min. :3.00 Min. :1979 Min. : 1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:2015 1st Qu.: 6.00 1st Qu.:1.00
## Median :3.00 Median :2018 Median :10.00 Median :1.00
## Mean :3.21 Mean :2460 Mean :13.68 Mean :1.37
## 3rd Qu.:3.00 3rd Qu.:2020 3rd Qu.:15.00 3rd Qu.:1.00
## Max. :5.00 Max. :9999 Max. :99.00 Max. :9.00
## NA's :110012 NA's :109718 NA's :109718 NA's :109718
## P14_13_5 P14_9_6_1 P14_9_6_2 P14_9_6_3
## Min. :1.00 Min. :1.0 Min. :2.00 Min. :3.00
## 1st Qu.:1.00 1st Qu.:1.0 1st Qu.:2.00 1st Qu.:3.00
## Median :1.00 Median :2.0 Median :2.00 Median :3.00
## Mean :1.45 Mean :1.6 Mean :2.23 Mean :3.26
## 3rd Qu.:1.00 3rd Qu.:2.0 3rd Qu.:2.00 3rd Qu.:4.00
## Max. :9.00 Max. :5.0 Max. :5.00 Max. :4.00
## NA's :109718 NA's :109625 NA's :109951 NA's :110066
## P14_10_6 P14_11_6 P14_12_6 P14_13_6
## Min. :1964 Min. : 1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2011 1st Qu.: 6.00 1st Qu.:1.00 1st Qu.:1.00
## Median :2017 Median : 7.00 Median :1.00 Median :1.00
## Mean :2851 Mean :11.89 Mean :1.29 Mean :1.43
## 3rd Qu.:2020 3rd Qu.:14.00 3rd Qu.:1.00 3rd Qu.:1.00
## Max. :9999 Max. :99.00 Max. :9.00 Max. :9.00
## NA's :109625 NA's :109625 NA's :109625 NA's :109625
## P14_9_7_1 P14_9_7_2 P14_9_7_3 P14_10_7
## Min. :1.00 Min. :2.0 Min. :3.00 Min. :1977
## 1st Qu.:1.00 1st Qu.:3.0 1st Qu.:3.00 1st Qu.:2015
## Median :3.00 Median :3.0 Median :4.00 Median :2020
## Mean :2.36 Mean :3.1 Mean :3.69 Mean :4104
## 3rd Qu.:3.00 3rd Qu.:3.0 3rd Qu.:4.00 3rd Qu.:8888
## Max. :5.00 Max. :5.0 Max. :4.00 Max. :9999
## NA's :109932 NA's :110037 NA's :110114 NA's :109932
## P14_11_7 P14_12_7 P14_13_7 P14_9_8_1
## Min. : 1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.: 6.00 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.00
## Median :11.00 Median :1.00 Median :1.00 Median :3.00
## Mean :31.06 Mean :2.93 Mean :2.92 Mean :2.83
## 3rd Qu.:35.00 3rd Qu.:2.50 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :99.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :109932 NA's :109932 NA's :109932 NA's :109944
## P14_9_8_2 P14_9_8_3 P14_10_8 P14_11_8
## Min. :2.00 Min. :3.00 Min. :1993 Min. : 1.00
## 1st Qu.:3.00 1st Qu.:4.00 1st Qu.:2015 1st Qu.: 6.00
## Median :3.00 Median :9.00 Median :2019 Median :11.00
## Mean :4.06 Mean :7.07 Mean :3034 Mean :18.44
## 3rd Qu.:3.00 3rd Qu.:9.00 3rd Qu.:2021 3rd Qu.:19.00
## Max. :9.00 Max. :9.00 Max. :9999 Max. :99.00
## NA's :110077 NA's :110113 NA's :109944 NA's :109944
## P14_12_8 P14_13_8 P14_9_9_1 P14_9_9_2
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :2.0
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.0
## Median :1.00 Median :1.00 Median :1.00 Median :2.0
## Mean :1.63 Mean :1.62 Mean :1.59 Mean :2.4
## 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:3.0
## Max. :9.00 Max. :9.00 Max. :5.00 Max. :5.0
## NA's :109944 NA's :109944 NA's :109092 NA's :109681
## P14_9_9_3 P14_10_9 P14_11_9 P14_12_9
## Min. :3.00 Min. :1981 Min. : 1.00 Min. :1.00
## 1st Qu.:3.00 1st Qu.:2007 1st Qu.: 6.00 1st Qu.:1.00
## Median :3.00 Median :2015 Median :11.00 Median :1.00
## Mean :3.15 Mean :2677 Mean :13.58 Mean :1.34
## 3rd Qu.:3.00 3rd Qu.:2020 3rd Qu.:17.00 3rd Qu.:2.00
## Max. :5.00 Max. :9999 Max. :99.00 Max. :9.00
## NA's :109993 NA's :109092 NA's :109092 NA's :109092
## P14_13_9 P14_9_10_1 P14_9_10_2 P14_9_10_3
## Min. :1.00 Min. :1.00 Min. :2.00 Min. :3.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:3.00
## Median :1.00 Median :1.00 Median :2.00 Median :3.00
## Mean :1.46 Mean :1.74 Mean :2.42 Mean :3.33
## 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:4.00
## Max. :9.00 Max. :5.00 Max. :5.00 Max. :5.00
## NA's :109092 NA's :109818 NA's :110022 NA's :110106
## P14_10_10 P14_11_10 P14_12_10 P14_13_10
## Min. :1930 Min. : 1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2012 1st Qu.: 6.00 1st Qu.:1.00 1st Qu.:1.00
## Median :2019 Median :11.00 Median :1.00 Median :1.00
## Mean :3081 Mean :13.67 Mean :1.24 Mean :1.33
## 3rd Qu.:2021 3rd Qu.:18.00 3rd Qu.:1.00 3rd Qu.:1.00
## Max. :8888 Max. :38.00 Max. :3.00 Max. :4.00
## NA's :109818 NA's :109818 NA's :109818 NA's :109818
## FAC_VIV FAC_MUJ ESTRATO UPM_DIS
## Min. : 12 Min. : 12.0 Min. :1.000 Min. : 1
## 1st Qu.: 132 1st Qu.: 172.0 1st Qu.:2.000 1st Qu.: 4875
## Median : 225 Median : 296.0 Median :2.000 Median : 9228
## Mean : 295 Mean : 458.8 Mean :2.181 Mean : 9283
## 3rd Qu.: 358 3rd Qu.: 554.0 3rd Qu.:3.000 3rd Qu.:13608
## Max. :2826 Max. :8836.0 Max. :4.000 Max. :17795
##
## EST_DIS
## Min. : 1.0
## 1st Qu.:154.0
## Median :301.0
## Mean :299.1
## 3rd Qu.:440.0
## Max. :617.0
## violec21$P14_1_1=as.factor(violec21$P14_1_1)
violec21$P14_1_2=as.factor(violec21$P14_1_2)
violec21$P14_1_3=as.factor(violec21$P14_1_3)
violec21$P14_1_4=as.factor(violec21$P14_1_4)
violec21$P14_1_5=as.factor(violec21$P14_1_5)
violec21$P14_1_6=as.factor(violec21$P14_1_6)
violec21$P14_1_7=as.factor(violec21$P14_1_7)
violec21$P14_1_8=as.factor(violec21$P14_1_8)
violec21$P14_1_9=as.factor(violec21$P14_1_9)
violec21$P14_1_10=as.factor(violec21$P14_1_10)
violec21$P14_1_11=as.factor(violec21$P14_1_11)
violec21$P14_1_12=as.factor(violec21$P14_1_12)
violec21$P14_1_13=as.factor(violec21$P14_1_13)
violec21$P14_1_14=as.factor(violec21$P14_1_14)
violec21$P14_1_15=as.factor(violec21$P14_1_15)
violec21$P14_1_16=as.factor(violec21$P14_1_16)
violec21$P14_1_17=as.factor(violec21$P14_1_17)
violec21$P14_1_18=as.factor(violec21$P14_1_18)
violec21$P14_1_19=as.factor(violec21$P14_1_19)
violec21$P14_1_20=as.factor(violec21$P14_1_20)
violec21$P14_1_21=as.factor(violec21$P14_1_21)
violec21$P14_1_22=as.factor(violec21$P14_1_22)
violec21$P14_1_23AB=as.factor(violec21$P14_1_23AB)
violec21$P14_1_24AB=as.factor(violec21$P14_1_24AB)
violec21$P14_1_25=as.factor(violec21$P14_1_25)
violec21$P14_1_26=as.factor(violec21$P14_1_26)
violec21$P14_1_27=as.factor(violec21$P14_1_27)
violec21$P14_1_28=as.factor(violec21$P14_1_28)
violec21$P14_1_29=as.factor(violec21$P14_1_29)
violec21$P14_1_30=as.factor(violec21$P14_1_30)
violec21$P14_1_31=as.factor(violec21$P14_1_31)
violec21$P14_1_32=as.factor(violec21$P14_1_32)
violec21$P14_1_33=as.factor(violec21$P14_1_33)
violec21$P14_1_34=as.factor(violec21$P14_1_34)
violec21$P14_1_35AB=as.factor(violec21$P14_1_35AB)
violec21$P14_1_36AB=as.factor(violec21$P14_1_36AB)
violec21$P14_1_37AB=as.factor(violec21$P14_1_37AB)
violec21$P14_1_38AB=as.factor(violec21$P14_1_38AB)3. Re-codificación de las variables a las 4 formas de violencia
Primera Analisis
table(violec21$P14_1_1)##
## 1 2 3 4 9
## 3917 6036 4020 91243 62table(violec21$P14_1_2)##
## 1 2 3 4 9
## 3250 4328 3408 94230 62table(violec21$P14_1_3)##
## 1 2 3 4 9
## 277 254 201 104484 62table(violec21$P14_1_4)##
## 1 2 3 4 9
## 1638 1583 1097 100898 62table(violec21$P14_1_5)##
## 1 2 3 4 9
## 2022 2612 1693 98889 62library(janitor)## Warning: Paket 'janitor' wurde unter R Version 4.4.1 erstellt##
## Attache Paket: 'janitor'## Die folgenden Objekte sind maskiert von 'package:stats':
##
## chisq.test, fisher.testtabyl(violec21,P14_1_1,P14_1_2)## P14_1_1 1 2 3 4 9 NA_
## 1 2753 538 107 519 0 0
## 2 214 2758 667 2397 0 0
## 3 42 245 1239 2494 0 0
## 4 241 787 1395 88820 0 0
## 9 0 0 0 0 62 0
## <NA> 0 0 0 0 0 4849tabyl(violec21,P14_1_1,P14_1_3)## P14_1_1 1 2 3 4 9 NA_
## 1 256 116 65 3480 0 0
## 2 10 116 59 5851 0 0
## 3 3 6 45 3966 0 0
## 4 8 16 32 91187 0 0
## 9 0 0 0 0 62 0
## <NA> 0 0 0 0 0 4849Eliminacion de 9 = no especificado
violec_especif16 = violec16 %>%
dplyr::filter(!(P13_1_1 == 9 |
P13_1_2 == 9 |
P13_1_3 == 9 |
P13_1_4 == 9 |
P13_1_5 == 9 |
P13_1_28 == 9))table(violec_especif16$P13_1_1)##
## 1 2 3 4 9
## 4336 6556 3771 91419 0table(violec_especif16$P13_1_2)##
## 1 2 3 4 9
## 3650 4665 3650 94117 0table(violec_especif16$P13_1_3)##
## 1 2 3 4 9
## 210 224 203 105445 0table(violec_especif16$P13_1_4)##
## 1 2 3 4 9
## 1841 1812 1293 101136 0table(violec_especif16$P13_1_5)##
## 1 2 3 4 9
## 2057 2706 1762 99557 0table(violec_especif16$P13_1_6)##
## 1 2 3 4 9
## 2932 3722 2059 97369 0table(violec_especif16$P13_1_7)##
## 1 2 3 4 9
## 647 895 1612 102928 0table(violec_especif16$P13_1_8)##
## 1 2 3 4 9
## 365 440 749 104528 0table(violec_especif16$P13_1_9)##
## 1 2 3 4 9
## 78 154 206 105644 0# P13_1_1 no existe 9
# P13_1_2 9 = 0
# P13_1_3 9 = 1
# P13_1_4 9 = 2
# P13_1_5 9 = 0
# P13_1_6 9 = 0
# P13_1_7 9 = 2
# P13_1_8 9 = 1
# P13_1_9 9 = 0
#violencia psicologica
table(violec_especif16$P13_1_10)##
## 1 2 3 4 9
## 5266 9669 1949 89198 0table(violec_especif16$P13_1_11)##
## 1 2 3 4 9
## 6598 7509 1478 90497 0table(violec_especif16$P13_1_12)##
## 1 2 3 4 9
## 5314 5500 2539 92729 0table(violec_especif16$P13_1_13)##
## 1 2 3 4 9
## 5604 4433 1796 94249 0table(violec_especif16$P13_1_14)##
## 1 2 3 4 9
## 4551 5837 2268 93426 0table(violec_especif16$P13_1_15)##
## 1 2 3 4 9
## 2229 2002 678 101173 0table(violec_especif16$P13_1_16)##
## 1 2 3 4 9
## 2081 2634 960 100407 0table(violec_especif16$P13_1_17)##
## 1 2 3 4 9
## 3894 3760 499 97929 0table(violec_especif16$P13_1_18)##
## 1 2 3 4 9
## 469 470 733 104410 0table(violec_especif16$P13_1_19)##
## 1 2 3 4 9
## 1123 1351 1174 102434 0table(violec_especif16$P13_1_20)##
## 1 2 3 4 9
## 1918 2569 1520 100075 0table(violec_especif16$P13_1_21)##
## 1 2 3 4 9
## 8034 14032 2772 81244 0table(violec_especif16$P13_1_22)##
## 1 2 3 4 9
## 2836 3177 939 99130 0table(violec_especif16$P13_1_23AB)##
## 1 2 3 4 9
## 1787 2062 635 87958 0table(violec_especif16$P13_1_24AB)##
## 1 2 3 4
## 3711 5945 1045 81741#violencia sexual
table(violec_especif16$P13_1_25)##
## 1 2 3 4 9
## 2174 2028 491 101389 0table(violec_especif16$P13_1_26)##
## 1 2 3 4 9
## 1135 1285 370 103292 0table(violec_especif16$P13_1_27)##
## 1 2 3 4 9
## 1445 1593 655 102389 0table(violec_especif16$P13_1_28)##
## 1 2 3 4 9
## 274 358 146 105304 0table(violec_especif16$P13_1_29)##
## 1 2 3 4 9
## 1414 850 227 103591 0#violencia economica
table(violec_especif16$P13_1_30)##
## 1 2 3 4 9
## 3645 2872 1401 98164 0table(violec_especif16$P13_1_31)##
## 1 2 3 4 9
## 1111 1247 529 103195 0table(violec_especif16$P13_1_32)##
## 1 2 3 4 9
## 309 339 528 104906 0table(violec_especif16$P13_1_33AB)##
## 1 2 3 4
## 4437 4253 984 82768table(violec_especif16$P13_1_34AB)##
## 1 2 3 4 9
## 3982 4366 678 83416 0table(violec_especif16$P13_1_35AB)##
## 1 2 3 4 9
## 4896 3640 550 83356 0table(violec_especif16$P13_1_36AB)##
## 1 2 3 4
## 4238 5123 935 82146#en todo las variables excepto estos con AB, eliminé todo los 9, porque los mismos 62 personas siempre pusieron 9#violencia21_fisica
violec_especif21 = violec21 %>% dplyr::filter(P14_1_1 != "9")
table(violec_especif21$P14_1_1)##
## 1 2 3 4 9
## 3917 6036 4020 91243 0table(violec_especif21$P14_1_2)##
## 1 2 3 4 9
## 3250 4328 3408 94230 0table(violec_especif21$P14_1_3)##
## 1 2 3 4 9
## 277 254 201 104484 0table(violec_especif21$P14_1_4)##
## 1 2 3 4 9
## 1638 1583 1097 100898 0table(violec_especif21$P14_1_5)##
## 1 2 3 4 9
## 2022 2612 1693 98889 0table(violec_especif21$P14_1_6)##
## 1 2 3 4 9
## 2543 3268 1745 97660 0table(violec_especif21$P14_1_7)##
## 1 2 3 4 9
## 772 874 1506 102064 0table(violec_especif21$P14_1_8)##
## 1 2 3 4 9
## 357 358 635 103866 0table(violec_especif21$P14_1_9)##
## 1 2 3 4 9
## 69 104 186 104857 0#violencia21 psicologica
table(violec_especif21$P14_1_10)##
## 1 2 3 4 9
## 4853 8468 1872 90023 0table(violec_especif21$P14_1_11)##
## 1 2 3 4 9
## 6262 7281 1604 90069 0table(violec_especif21$P14_1_12)##
## 1 2 3 4 9
## 5713 5736 2403 91364 0table(violec_especif21$P14_1_13)##
## 1 2 3 4 9
## 5466 4266 1537 93947 0table(violec_especif21$P14_1_14)##
## 1 2 3 4 9
## 4345 4939 1871 94061 0table(violec_especif21$P14_1_15)##
## 1 2 3 4 9
## 2340 1894 645 100337 0table(violec_especif21$P14_1_16)##
## 1 2 3 4 9
## 2261 2518 821 99616 0table(violec_especif21$P14_1_17)##
## 1 2 3 4 9
## 4423 4236 690 95867 0table(violec_especif21$P14_1_18)##
## 1 2 3 4 9
## 493 401 618 103704 0table(violec_especif21$P14_1_19)##
## 1 2 3 4 9
## 1147 1200 1065 101804 0table(violec_especif21$P14_1_20)##
## 1 2 3 4 9
## 1912 2295 1267 99742 0table(violec_especif21$P14_1_21)##
## 1 2 3 4 9
## 7551 11602 2136 83927 0table(violec_especif21$P14_1_22)##
## 1 2 3 4 9
## 3052 3047 907 98210 0table(violec_especif21$P14_1_23AB)##
## 1 2 3 4
## 1802 2188 809 85892table(violec_especif21$P14_1_24AB)##
## 1 2 3 4
## 2978 4508 933 82272#violencia21 sexual
table(violec_especif21$P14_1_25)##
## 1 2 3 4 9
## 2155 2039 517 100505 0table(violec_especif21$P14_1_26)##
## 1 2 3 4 9
## 1331 1331 377 102177 0table(violec_especif21$P14_1_27)##
## 1 2 3 4 9
## 1524 1417 589 101686 0table(violec_especif21$P14_1_28)##
## 1 2 3 4 9
## 274 341 134 104467 0table(violec_especif21$P14_1_29)##
## 1 2 3 4 9
## 1623 872 262 102459 0table(violec_especif21$P14_1_30)##
## 1 2 3 4 9
## 354 475 134 104253 0#violencia21 economica
table(violec_especif21$P14_1_31)##
## 1 2 3 4 9
## 66 112 89 104949 0table(violec_especif21$P14_1_32)##
## 1 2 3 4 9
## 3485 2713 1837 97181 0table(violec_especif21$P14_1_33)##
## 1 2 3 4 9
## 1203 1155 564 102294 0table(violec_especif21$P14_1_34)##
## 1 2 3 4 9
## 332 294 548 104042 0table(violec_especif21$P14_1_35AB)##
## 1 2 3 4
## 4212 3530 830 82119table(violec_especif21$P14_1_36AB)##
## 1 2 3 4
## 3978 3916 534 82263table(violec_especif21$P14_1_37AB)##
## 1 2 3 4
## 4962 3305 528 81896table(violec_especif21$P14_1_38AB)##
## 1 2 3 4
## 4072 4283 857 81479#en todo las variables excepto estos con AB, eliminé todo los 9, porque los mismos 62 personas siempre pusieron 9#violencia16 fisica
violec_especif16$violencia16_fisica1 = factor(violec_especif16$P13_1_1,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica2 = factor(violec_especif16$P13_1_2,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica3 = factor(violec_especif16$P13_1_3,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica4 = factor(violec_especif16$P13_1_4,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica5 = factor(violec_especif16$P13_1_5,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica6 = factor(violec_especif16$P13_1_6,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica7 = factor(violec_especif16$P13_1_7,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica8 = factor(violec_especif16$P13_1_8,
labels = c("1","1","1","0"))
violec_especif16$violencia16_fisica9 = factor(violec_especif16$P13_1_9,
labels = c("1","1","1","0"))
levels(violec_especif16$violencia16_fisica1)## [1] "1" "0"table(violec_especif16$violencia16_fisica1)##
## 1 0
## 14663 91419# violencia16 psicologica
violec_especif16$violencia16_psicologica1 = factor(violec_especif16$P13_1_10,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica2 = factor(violec_especif16$P13_1_11,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica3 = factor(violec_especif16$P13_1_12,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica4 = factor(violec_especif16$P13_1_13,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica5 = factor(violec_especif16$P13_1_14,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica6 = factor(violec_especif16$P13_1_15,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica7 = factor(violec_especif16$P13_1_16,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica8 = factor(violec_especif16$P13_1_17,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica9 = factor(violec_especif16$P13_1_18,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica10 = factor(violec_especif16$P13_1_19,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica11 = factor(violec_especif16$P13_1_20,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica12 = factor(violec_especif16$P13_1_21,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica13 = factor(violec_especif16$P13_1_22,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica14 = factor(violec_especif16$P13_1_23AB,
labels = c("1","1","1","0"))
violec_especif16$violencia16_psicologica15 = factor(violec_especif16$P13_1_24AB,
labels = c("1","1","1","0"))
#vioelencia16 sexual
violec_especif16$violencia16_sexual1 = factor(violec_especif16$P13_1_25,
labels = c("1","1","1","0"))
violec_especif16$violencia16_sexual2 = factor(violec_especif16$P13_1_26,
labels = c("1","1","1","0"))
violec_especif16$violencia16_sexual3 = factor(violec_especif16$P13_1_27,
labels = c("1","1","1","0"))
violec_especif16$violencia16_sexual4 = factor(violec_especif16$P13_1_28,
labels = c("1","1","1","0"))
violec_especif16$violencia16_sexual5 = factor(violec_especif16$P13_1_29,
labels = c("1","1","1","0"))
#violencia16 economica
violec_especif16$violencia16_economica1 = factor(violec_especif16$P13_1_30,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica2 = factor(violec_especif16$P13_1_31,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica3 = factor(violec_especif16$P13_1_32,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica4 = factor(violec_especif16$P13_1_33AB,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica5 = factor(violec_especif16$P13_1_34AB,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica6 = factor(violec_especif16$P13_1_35AB,
labels = c("1","1","1","0"))
violec_especif16$violencia16_economica7 = factor(violec_especif16$P13_1_36AB,
labels = c("1","1","1","0"))
#violencia16 fisica
violec_especif16$violencia16_fisica1=as.character(violec_especif16$violencia16_fisica1)
violec_especif16$violencia16_fisica2=as.character(violec_especif16$violencia16_fisica2)
violec_especif16$violencia16_fisica3=as.character(violec_especif16$violencia16_fisica3)
violec_especif16$violencia16_fisica4=as.character(violec_especif16$violencia16_fisica4)
violec_especif16$violencia16_fisica5=as.character(violec_especif16$violencia16_fisica5)
violec_especif16$violencia16_fisica6=as.character(violec_especif16$violencia16_fisica6)
violec_especif16$violencia16_fisica7=as.character(violec_especif16$violencia16_fisica7)
violec_especif16$violencia16_fisica8=as.character(violec_especif16$violencia16_fisica8)
violec_especif16$violencia16_fisica9=as.character(violec_especif16$violencia16_fisica9)
violec_especif16$violencia16_fisica1=as.numeric(violec_especif16$violencia16_fisica1)
violec_especif16$violencia16_fisica2=as.numeric(violec_especif16$violencia16_fisica2)
violec_especif16$violencia16_fisica3=as.numeric(violec_especif16$violencia16_fisica3)
violec_especif16$violencia16_fisica4=as.numeric(violec_especif16$violencia16_fisica4)
violec_especif16$violencia16_fisica5=as.numeric(violec_especif16$violencia16_fisica5)
violec_especif16$violencia16_fisica6=as.numeric(violec_especif16$violencia16_fisica6)
violec_especif16$violencia16_fisica7=as.numeric(violec_especif16$violencia16_fisica7)
violec_especif16$violencia16_fisica8=as.numeric(violec_especif16$violencia16_fisica8)
violec_especif16$violencia16_fisica9=as.numeric(violec_especif16$violencia16_fisica9)
#violencia16 psicologica
violec_especif16$violencia16_psicologica1=as.character(violec_especif16$violencia16_psicologica1)
violec_especif16$violencia16_psicologica2=as.character(violec_especif16$violencia16_psicologica2)
violec_especif16$violencia16_psicologica3=as.character(violec_especif16$violencia16_psicologica3)
violec_especif16$violencia16_psicologica4=as.character(violec_especif16$violencia16_psicologica4)
violec_especif16$violencia16_psicologica5=as.character(violec_especif16$violencia16_psicologica5)
violec_especif16$violencia16_psicologica6=as.character(violec_especif16$violencia16_psicologica6)
violec_especif16$violencia16_psicologica7=as.character(violec_especif16$violencia16_psicologica7)
violec_especif16$violencia16_psicologica8=as.character(violec_especif16$violencia16_psicologica8)
violec_especif16$violencia16_psicologica9=as.character(violec_especif16$violencia16_psicologica9)
violec_especif16$violencia16_psicologica10=as.character(violec_especif16$violencia16_psicologica10)
violec_especif16$violencia16_psicologica11=as.character(violec_especif16$violencia16_psicologica11)
violec_especif16$violencia16_psicologica12=as.character(violec_especif16$violencia16_psicologica12)
violec_especif16$violencia16_psicologica13=as.character(violec_especif16$violencia16_psicologica13)
violec_especif16$violencia16_psicologica14=as.character(violec_especif16$violencia16_psicologica14)
violec_especif16$violencia16_psicologica15=as.character(violec_especif16$violencia16_psicologica15)
violec_especif16$violencia16_psicologica1=as.numeric(violec_especif16$violencia16_psicologica1)
violec_especif16$violencia16_psicologica2=as.numeric(violec_especif16$violencia16_psicologica2)
violec_especif16$violencia16_psicologica3=as.numeric(violec_especif16$violencia16_psicologica3)
violec_especif16$violencia16_psicologica4=as.numeric(violec_especif16$violencia16_psicologica4)
violec_especif16$violencia16_psicologica5=as.numeric(violec_especif16$violencia16_psicologica5)
violec_especif16$violencia16_psicologica6=as.numeric(violec_especif16$violencia16_psicologica6)
violec_especif16$violencia16_psicologica7=as.numeric(violec_especif16$violencia16_psicologica7)
violec_especif16$violencia16_psicologica8=as.numeric(violec_especif16$violencia16_psicologica8)
violec_especif16$violencia16_psicologica9=as.numeric(violec_especif16$violencia16_psicologica9)
violec_especif16$violencia16_psicologica10=as.numeric(violec_especif16$violencia16_psicologica10)
violec_especif16$violencia16_psicologica11=as.numeric(violec_especif16$violencia16_psicologica11)
violec_especif16$violencia16_psicologica12=as.numeric(violec_especif16$violencia16_psicologica12)
violec_especif16$violencia16_psicologica13=as.numeric(violec_especif16$violencia16_psicologica13)
violec_especif16$violencia16_psicologica14=as.numeric(violec_especif16$violencia16_psicologica14)
violec_especif16$violencia16_psicologica15=as.numeric(violec_especif16$violencia16_psicologica15)
#violencia16 sexual
violec_especif16$violencia16_sexual1=as.character(violec_especif16$violencia16_sexual1)
violec_especif16$violencia16_sexual2=as.character(violec_especif16$violencia16_sexual2)
violec_especif16$violencia16_sexual3=as.character(violec_especif16$violencia16_sexual3)
violec_especif16$violencia16_sexual4=as.character(violec_especif16$violencia16_sexual4)
violec_especif16$violencia16_sexual5=as.character(violec_especif16$violencia16_sexual5)
violec_especif16$violencia16_sexual1=as.numeric(violec_especif16$violencia16_sexual1)
violec_especif16$violencia16_sexual2=as.numeric(violec_especif16$violencia16_sexual2)
violec_especif16$violencia16_sexual3=as.numeric(violec_especif16$violencia16_sexual3)
violec_especif16$violencia16_sexual4=as.numeric(violec_especif16$violencia16_sexual4)
violec_especif16$violencia16_sexual5=as.numeric(violec_especif16$violencia16_sexual5)
#violencia economica
violec_especif16$violencia16_economica1=as.character (violec_especif16$violencia16_economica1)
violec_especif16$violencia16_economica2=as.character(violec_especif16$violencia16_economica2)
violec_especif16$violencia16_economica3=as.character(violec_especif16$violencia16_economica3)
violec_especif16$violencia16_economica4=as.character(violec_especif16$violencia16_economica4)
violec_especif16$violencia16_economica5=as.character(violec_especif16$violencia16_economica5)
violec_especif16$violencia16_economica6=as.character(violec_especif16$violencia16_economica6)
violec_especif16$violencia16_economica7=as.character(violec_especif16$violencia16_economica7)
violec_especif16$violencia16_economica1=as.numeric(violec_especif16$violencia16_economica1)
violec_especif16$violencia16_economica2=as.numeric(violec_especif16$violencia16_economica2)
violec_especif16$violencia16_economica3=as.numeric(violec_especif16$violencia16_economica3)
violec_especif16$violencia16_economica4=as.numeric(violec_especif16$violencia16_economica4)
violec_especif16$violencia16_economica5=as.numeric(violec_especif16$violencia16_economica5)
violec_especif16$violencia16_economica6=as.numeric(violec_especif16$violencia16_economica6)
violec_especif16$violencia16_economica7=as.numeric(violec_especif16$violencia16_economica7)
table(violec_especif16$violencia16_fisica1)##
## 0 1
## 91419 14663table(violec_especif16$violencia16_fisica2)##
## 0 1
## 94117 11965table(violec_especif16$violencia16_fisica3)##
## 0 1
## 105445 637table(violec_especif16$violencia16_economica1)##
## 0 1
## 98164 7918# 0 = no sufrio de violencia, 1= Si sufrio de violencia#violencia21_fisica
violec_especif21 = violec21 %>% dplyr::filter(P14_1_1 != "9")
table(violec_especif21$P14_1_1)##
## 1 2 3 4 9
## 3917 6036 4020 91243 0table(violec_especif21$P14_1_2)##
## 1 2 3 4 9
## 3250 4328 3408 94230 0table(violec_especif21$P14_1_3)##
## 1 2 3 4 9
## 277 254 201 104484 0table(violec_especif21$P14_1_4)##
## 1 2 3 4 9
## 1638 1583 1097 100898 0table(violec_especif21$P14_1_5)##
## 1 2 3 4 9
## 2022 2612 1693 98889 0table(violec_especif21$P14_1_6)##
## 1 2 3 4 9
## 2543 3268 1745 97660 0table(violec_especif21$P14_1_7)##
## 1 2 3 4 9
## 772 874 1506 102064 0table(violec_especif21$P14_1_8)##
## 1 2 3 4 9
## 357 358 635 103866 0table(violec_especif21$P14_1_9)##
## 1 2 3 4 9
## 69 104 186 104857 0#violencia psicologica
table(violec_especif21$P14_1_10)##
## 1 2 3 4 9
## 4853 8468 1872 90023 0table(violec_especif21$P14_1_11)##
## 1 2 3 4 9
## 6262 7281 1604 90069 0table(violec_especif21$P14_1_12)##
## 1 2 3 4 9
## 5713 5736 2403 91364 0table(violec_especif21$P14_1_13)##
## 1 2 3 4 9
## 5466 4266 1537 93947 0table(violec_especif21$P14_1_14)##
## 1 2 3 4 9
## 4345 4939 1871 94061 0table(violec_especif21$P14_1_15)##
## 1 2 3 4 9
## 2340 1894 645 100337 0table(violec_especif21$P14_1_16)##
## 1 2 3 4 9
## 2261 2518 821 99616 0table(violec_especif21$P14_1_17)##
## 1 2 3 4 9
## 4423 4236 690 95867 0table(violec_especif21$P14_1_18)##
## 1 2 3 4 9
## 493 401 618 103704 0table(violec_especif21$P14_1_19)##
## 1 2 3 4 9
## 1147 1200 1065 101804 0table(violec_especif21$P14_1_20)##
## 1 2 3 4 9
## 1912 2295 1267 99742 0table(violec_especif21$P14_1_21)##
## 1 2 3 4 9
## 7551 11602 2136 83927 0table(violec_especif21$P14_1_22)##
## 1 2 3 4 9
## 3052 3047 907 98210 0table(violec_especif21$P14_1_23AB)##
## 1 2 3 4
## 1802 2188 809 85892table(violec_especif21$P14_1_24AB)##
## 1 2 3 4
## 2978 4508 933 82272table(violec_especif21$P14_1_31)##
## 1 2 3 4 9
## 66 112 89 104949 0#violencia sexual
table(violec_especif21$P14_1_25)##
## 1 2 3 4 9
## 2155 2039 517 100505 0table(violec_especif21$P14_1_26)##
## 1 2 3 4 9
## 1331 1331 377 102177 0table(violec_especif21$P14_1_27)##
## 1 2 3 4 9
## 1524 1417 589 101686 0table(violec_especif21$P14_1_28)##
## 1 2 3 4 9
## 274 341 134 104467 0table(violec_especif21$P14_1_29)##
## 1 2 3 4 9
## 1623 872 262 102459 0table(violec_especif21$P14_1_30)##
## 1 2 3 4 9
## 354 475 134 104253 0#violencia economica
table(violec_especif21$P14_1_32)##
## 1 2 3 4 9
## 3485 2713 1837 97181 0table(violec_especif21$P14_1_33)##
## 1 2 3 4 9
## 1203 1155 564 102294 0table(violec_especif21$P14_1_34)##
## 1 2 3 4 9
## 332 294 548 104042 0table(violec_especif21$P14_1_35AB)##
## 1 2 3 4
## 4212 3530 830 82119table(violec_especif21$P14_1_36AB)##
## 1 2 3 4
## 3978 3916 534 82263table(violec_especif21$P14_1_37AB)##
## 1 2 3 4
## 4962 3305 528 81896table(violec_especif21$P14_1_38AB)##
## 1 2 3 4
## 4072 4283 857 81479#en todo las variables excepto estos con AB, eliminé todo los 9, porque los mismos 62 personas siempre pusieron 9#violencia21 fisica
violec_especif21$violencia21_fisica1 = factor(violec_especif21$P14_1_1,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica2 = factor(violec_especif21$P14_1_2,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica3 = factor(violec_especif21$P14_1_3,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica4 = factor(violec_especif21$P14_1_4,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica5 = factor(violec_especif21$P14_1_5,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica6 = factor(violec_especif21$P14_1_6,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica7 = factor(violec_especif21$P14_1_7,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica8 = factor(violec_especif21$P14_1_8,
labels = c("1","1","1","0"))
violec_especif21$violencia21_fisica9 = factor(violec_especif21$P14_1_9,
labels = c("1","1","1","0"))
levels(violec_especif21$violencia21_fisica1)## [1] "1" "0"table(violec_especif21$violencia21_fisica1)##
## 1 0
## 13973 91243# violencia21 psicologica
violec_especif21$violencia21_psicologica1 = factor(violec_especif21$P14_1_10,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica2 = factor(violec_especif21$P14_1_11,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica3 = factor(violec_especif21$P14_1_12,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica4 = factor(violec_especif21$P14_1_13,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica5 = factor(violec_especif21$P14_1_14,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica6 = factor(violec_especif21$P14_1_15,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica7 = factor(violec_especif21$P14_1_16,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica8 = factor(violec_especif21$P14_1_17,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica9 = factor(violec_especif21$P14_1_18,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica10 = factor(violec_especif21$P14_1_19,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica11 = factor(violec_especif21$P14_1_20,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica12 = factor(violec_especif21$P14_1_21,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica13 = factor(violec_especif21$P14_1_22,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica14 = factor(violec_especif21$P14_1_23AB,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica15 = factor(violec_especif21$P14_1_24AB,
labels = c("1","1","1","0"))
violec_especif21$violencia21_psicologica16 = factor(violec_especif21$P14_1_31,
labels = c("1","1","1","0"))
#vioelencia sexual
violec_especif21$violencia21_sexual1 = factor(violec_especif21$P14_1_25,
labels = c("1","1","1","0"))
violec_especif21$violencia21_sexual2 = factor(violec_especif21$P14_1_26,
labels = c("1","1","1","0"))
violec_especif21$violencia21_sexual3 = factor(violec_especif21$P14_1_27,
labels = c("1","1","1","0"))
violec_especif21$violencia21_sexual4 = factor(violec_especif21$P14_1_28,
labels = c("1","1","1","0"))
violec_especif21$violencia21_sexual5 = factor(violec_especif21$P14_1_29,
labels = c("1","1","1","0"))
violec_especif21$violencia21_sexual6 = factor(violec_especif21$P14_1_30,
labels = c("1","1","1","0"))
#violencia21 economica
violec_especif21$violencia21_economica1 = factor(violec_especif21$P14_1_32,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica2 = factor(violec_especif21$P14_1_33,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica3 = factor(violec_especif21$P14_1_34,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica4 = factor(violec_especif21$P14_1_35AB,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica5 = factor(violec_especif21$P14_1_36AB,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica6 = factor(violec_especif21$P14_1_37AB,
labels = c("1","1","1","0"))
violec_especif21$violencia21_economica7 = factor(violec_especif21$P14_1_38AB,
labels = c("1","1","1","0"))
#violencia21 fisica
violec_especif21$violencia21_fisica1=as.character(violec_especif21$violencia21_fisica1)
violec_especif21$violencia21_fisica2=as.character(violec_especif21$violencia21_fisica2)
violec_especif21$violencia21_fisica3=as.character(violec_especif21$violencia21_fisica3)
violec_especif21$violencia21_fisica4=as.character(violec_especif21$violencia21_fisica4)
violec_especif21$violencia21_fisica5=as.character(violec_especif21$violencia21_fisica5)
violec_especif21$violencia21_fisica6=as.character(violec_especif21$violencia21_fisica6)
violec_especif21$violencia21_fisica7=as.character(violec_especif21$violencia21_fisica7)
violec_especif21$violencia21_fisica8=as.character(violec_especif21$violencia21_fisica8)
violec_especif21$violencia21_fisica9=as.character(violec_especif21$violencia21_fisica9)
violec_especif21$violencia21_fisica1=as.numeric(violec_especif21$violencia21_fisica1)
violec_especif21$violencia21_fisica2=as.numeric(violec_especif21$violencia21_fisica2)
violec_especif21$violencia21_fisica3=as.numeric(violec_especif21$violencia21_fisica3)
violec_especif21$violencia21_fisica4=as.numeric(violec_especif21$violencia21_fisica4)
violec_especif21$violencia21_fisica5=as.numeric(violec_especif21$violencia21_fisica5)
violec_especif21$violencia21_fisica6=as.numeric(violec_especif21$violencia21_fisica6)
violec_especif21$violencia21_fisica7=as.numeric(violec_especif21$violencia21_fisica7)
violec_especif21$violencia21_fisica8=as.numeric(violec_especif21$violencia21_fisica8)
violec_especif21$violencia21_fisica9=as.numeric(violec_especif21$violencia21_fisica9)
#violencia21 psicologica
violec_especif21$violencia21_psicologica1=as.character(violec_especif21$violencia21_psicologica1)
violec_especif21$violencia21_psicologica2=as.character(violec_especif21$violencia21_psicologica2)
violec_especif21$violencia21_psicologica3=as.character(violec_especif21$violencia21_psicologica3)
violec_especif21$violencia21_psicologica4=as.character(violec_especif21$violencia21_psicologica4)
violec_especif21$violencia21_psicologica5=as.character(violec_especif21$violencia21_psicologica5)
violec_especif21$violencia21_psicologica6=as.character(violec_especif21$violencia21_psicologica6)
violec_especif21$violencia21_psicologica7=as.character(violec_especif21$violencia21_psicologica7)
violec_especif21$violencia21_psicologica8=as.character(violec_especif21$violencia21_psicologica8)
violec_especif21$violencia21_psicologica9=as.character(violec_especif21$violencia21_psicologica9)
violec_especif21$violencia21_psicologica10=as.character(violec_especif21$violencia21_psicologica10)
violec_especif21$violencia21_psicologica11=as.character(violec_especif21$violencia21_psicologica11)
violec_especif21$violencia21_psicologica12=as.character(violec_especif21$violencia21_psicologica12)
violec_especif21$violencia21_psicologica13=as.character(violec_especif21$violencia21_psicologica13)
violec_especif21$violencia21_psicologica14=as.character(violec_especif21$violencia21_psicologica14)
violec_especif21$violencia21_psicologica15=as.character(violec_especif21$violencia21_psicologica15)
violec_especif21$violencia21_psicologica16=as.character(violec_especif21$violencia21_psicologica16)
violec_especif21$violencia21_psicologica1=as.numeric(violec_especif21$violencia21_psicologica1)
violec_especif21$violencia21_psicologica2=as.numeric(violec_especif21$violencia21_psicologica2)
violec_especif21$violencia21_psicologica3=as.numeric(violec_especif21$violencia21_psicologica3)
violec_especif21$violencia21_psicologica4=as.numeric(violec_especif21$violencia21_psicologica4)
violec_especif21$violencia21_psicologica5=as.numeric(violec_especif21$violencia21_psicologica5)
violec_especif21$violencia21_psicologica6=as.numeric(violec_especif21$violencia21_psicologica6)
violec_especif21$violencia21_psicologica7=as.numeric(violec_especif21$violencia21_psicologica7)
violec_especif21$violencia21_psicologica8=as.numeric(violec_especif21$violencia21_psicologica8)
violec_especif21$violencia21_psicologica9=as.numeric(violec_especif21$violencia21_psicologica9)
violec_especif21$violencia21_psicologica10=as.numeric(violec_especif21$violencia21_psicologica10)
violec_especif21$violencia21_psicologica11=as.numeric(violec_especif21$violencia21_psicologica11)
violec_especif21$violencia21_psicologica12=as.numeric(violec_especif21$violencia21_psicologica12)
violec_especif21$violencia21_psicologica13=as.numeric(violec_especif21$violencia21_psicologica13)
violec_especif21$violencia21_psicologica14=as.numeric(violec_especif21$violencia21_psicologica14)
violec_especif21$violencia21_psicologica15=as.numeric(violec_especif21$violencia21_psicologica15)
violec_especif21$violencia21_psicologica16=as.numeric(violec_especif21$violencia21_psicologica16)
#violencia21 sexual
violec_especif21$violencia21_sexual1=as.character(violec_especif21$violencia21_sexual1)
violec_especif21$violencia21_sexual2=as.character(violec_especif21$violencia21_sexual2)
violec_especif21$violencia21_sexual3=as.character(violec_especif21$violencia21_sexual3)
violec_especif21$violencia21_sexual4=as.character(violec_especif21$violencia21_sexual4)
violec_especif21$violencia21_sexual5=as.character(violec_especif21$violencia21_sexual5)
violec_especif21$violencia21_sexual6=as.character(violec_especif21$violencia21_sexual6)
violec_especif21$violencia21_sexual1=as.numeric(violec_especif21$violencia21_sexual1)
violec_especif21$violencia21_sexual2=as.numeric(violec_especif21$violencia21_sexual2)
violec_especif21$violencia21_sexual3=as.numeric(violec_especif21$violencia21_sexual3)
violec_especif21$violencia21_sexual4=as.numeric(violec_especif21$violencia21_sexual4)
violec_especif21$violencia21_sexual5=as.numeric(violec_especif21$violencia21_sexual5)
violec_especif21$violencia21_sexual6=as.numeric(violec_especif21$violencia21_sexual6)
#violencia21 economica
violec_especif21$violencia21_economica1=as.character (violec_especif21$violencia21_economica1)
violec_especif21$violencia21_economica2=as.character(violec_especif21$violencia21_economica2)
violec_especif21$violencia21_economica3=as.character(violec_especif21$violencia21_economica3)
violec_especif21$violencia21_economica4=as.character(violec_especif21$violencia21_economica4)
violec_especif21$violencia21_economica5=as.character(violec_especif21$violencia21_economica5)
violec_especif21$violencia21_economica6=as.character(violec_especif21$violencia21_economica6)
violec_especif21$violencia21_economica7=as.character(violec_especif21$violencia21_economica7)
violec_especif21$violencia21_economica1=as.numeric(violec_especif21$violencia21_economica1)
violec_especif21$violencia21_economica2=as.numeric(violec_especif21$violencia21_economica2)
violec_especif21$violencia21_economica3=as.numeric(violec_especif21$violencia21_economica3)
violec_especif21$violencia21_economica4=as.numeric(violec_especif21$violencia21_economica4)
violec_especif21$violencia21_economica5=as.numeric(violec_especif21$violencia21_economica5)
violec_especif21$violencia21_economica6=as.numeric(violec_especif21$violencia21_economica6)
violec_especif21$violencia21_economica7=as.numeric(violec_especif21$violencia21_economica7)
table(violec_especif21$violencia21_fisica1)##
## 0 1
## 91243 13973table(violec_especif21$violencia21_fisica2)##
## 0 1
## 94230 10986table(violec_especif21$violencia21_fisica3)##
## 0 1
## 104484 732table(violec_especif21$violencia21_economica1)##
## 0 1
## 97181 8035# 0 = no sufrio de violencia21, 1= Si sufrio de violencia# hier schreiben wir alles um, damit wir nur noch No y Si haben
# violencia16 fisica
violec_especif16$viol16_fis_total =
(violec_especif16$violencia16_fisica1+
violec_especif16$violencia16_fisica2+
violec_especif16$violencia16_fisica3+
violec_especif16$violencia16_fisica4+
violec_especif16$violencia16_fisica5+
violec_especif16$violencia16_fisica6+
violec_especif16$violencia16_fisica7+
violec_especif16$violencia16_fisica8+
violec_especif16$violencia16_fisica9)
violec_especif16$viol16_fis_total## [1] 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 4 0 0 6 0 0 0 0 0 0 0 0 0 1 0 0 0 2
## [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 4 2 0
## [73] 3 0 0 0 0 3 0 0 0 0 1 0 0 2 0 6 0 4 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 3 0 0
## [109] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 3
## [145] 0 0 0 0 0 0 0 4 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [181] 0 0 0 0 0 0 0 4 0 0 1 0 0 0 3 3 0 0 0 0 0 0 5 0 0 0 0 0 6 0 0 0 0 1 0 0
## [217] 0 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 0 0 0 0 0 6 0 0 0 0 0 0
## [253] 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0
## [289] 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 7 1 0 0 0 0 0 0 0 3 1 0 4 0 0 1
## [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [361] 0 1 6 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 3 0 0 0 0
## [397] 0 0 0 0 0 0 4 0 0 0 0 0 0 0 6 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [433] 0 0 0 0 0 0 4 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## [469] 0 0 1 0 0 4 3 0 0 0 3 0 0 0 0 0 4 0 2 1 1 0 3 0 5 0 0 0 0 0 1 5 0 0 0 0
## [505] 0 1 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 3 0 1 0 0
## [541] 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 7 0 0 0 0 0 0 0 0 0 2 0
## [577] 0 0 0 0 3 0 0 0 0 0 0 5 0 4 0 6 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0
## [613] 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 2 0 0 2 0 1 0 5 0 0 0 0 0 1 0 0 0 0 0 0
## [649] 0 2 0 0 0 0 0 0 0 1 4 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0
## [685] 2 0 0 6 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 3 0 2 2 0 0 0 0 0 0 4 0 0 0 0 0 0
## [721] 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0
## [757] 0 0 0 0 0 0 0 3 6 3 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 3 1
## [793] 0 2 5 0 0 0 0 0 2 1 0 0 0 0 5 0 3 0 0 0 4 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0
## [829] 0 0 0 2 0 0 0 0 0 0 0 3 0 0 3 0 0 6 0 0 0 0 1 2 0 3 1 0 0 0 2 6 0 0 0 0
## [865] 6 0 0 1 0 4 2 0 0 0 0 0 0 0 0 0 3 0 4 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0
## [901] 0 0 0 0 4 3 0 1 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 3 2 1 0 0 0 0 0 0 0 0 0
## [937] 0 0 0 0 0 0 0 0 0 0 5 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 1 0
## [973] 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
## [1009] 0 8 0 2 0 0 0 1 0 0 0 0 3 0 0 0 0 7 1 1 2 0 3 5 2 0 0 0 1 1 0 0 0 0 0 0
## [1045] 0 0 0 0 3 0 0 0 0 3 0 2 0 0 0 0 0 1 0 0 0 4 5 5 1 5 3 1 2 0 4 0 0 0 0 0
## [1081] 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 1 0 0 2 1 0 0 1 0
## [1117] 0 0 5 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 3 5 0 0 0 0 0 0 2 6 0
## [1153] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 1 0 0
## [1189] 0 0 0 5 3 0 2 0 0 0 0 0 0 7 0 0 0 3 0 0 0 9 0 0 0 0 4 0 4 0 0 1 0 4 0 0
## [1225] 4 0 1 0 0 0 0 0 1 2 0 0 4 0 1 0 0 0 0 0 2 0 0 0 0 3 0 0 4 0 3 0 0 0 0 0
## [1261] 1 0 0 0 0 0 0 1 0 2 0 0 0 3 2 2 0 7 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 4 2 0
## [1297] 0 0 0 4 1 2 5 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 5 0 0 2
## [1333] 0 0 0 0 1 0 2 6 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 2
## [1369] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
## [1405] 0 0 0 2 3 1 0 0 0 0 0 3 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3
## [1441] 6 0 0 0 3 4 0 0 0 1 0 1 0 0 0 5 2 0 1 0 2 0 0 0 0 0 3 0 0 0 1 0 2 0 0 0
## [1477] 0 0 1 0 1 0 1 0 0 0 1 0 0 4 0 0 0 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 3 0
## [1513] 4 4 0 4 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0
## [1549] 0 0 3 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 7 1 0 0 2 1 2 0 2 0 0 0 0
## [1585] 0 0 0 5 0 2 0 1 0 4 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 3 1 0 0 1 0 0 0 0 2
## [1621] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 2 2 1 0 3 0 0 0 0 4 0 0 0 0 0
## [1657] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [1693] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 1
## [1729] 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 0 0 0 0 0 1 0 0 0 0 5 0 0 0 0 1 0 0 0
## [1765] 1 0 0 0 0 0 0 0 0 0 6 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1801] 7 4 0 0 0 2 0 0 0 1 0 0 0 4 4 0 0 2 0 2 0 2 0 0 5 0 0 0 0 0 1 0 3 3 0 0
## [1837] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 0 3 1 0 0 0 4 0 0 3 1 0 0 0 0 0 0 0 0 0
## [1873] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 1
## [1909] 0 1 0 0 0 0 0 1 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
## [1945] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 0 0 1 0 5 0 0 0 1 0 0
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## [96625] 0 0 0 0 0 0 0 0 0 0 0 4 5 2 0 0 0 0 0 1 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0
## [96661] 0 1 4 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6
## [96697] 0 0 0 0 1 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 1 0 0 0
## [96733] 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
## [96769] 0 1 0 0 0 3 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 7 2 0 0
## [96805] 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [96841] 0 0 0 0 4 4 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## [96877] 0 0 0 0 1 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0
## [96913] 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [96949] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [96985] 0 0 0 0 0 0 0 0 0 0 4 0 2 1 0 0 6 0 0 0 1 0 0 0 0 4 0 0 1 0 2 0 0 0 1 0
## [97021] 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 1 0 0 0 0 0 0 0 1 2 3 0 0 1 0 0 2 3 0 1 7
## [97057] 1 0 0 0 1 0 2 0 0 0 5 0 5 0 1 0 1 0 0 0 1 0 0 0 1 0 0 6 0 0 0 0 0 0 0 0
## [97093] 0 0 1 2 0 1 1 4 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 0 0 0 0 3 0 0 0 0 0 1 3 0
## [97129] 0 0 5 0 0 0 1 0 0 0 0 0 0 4 1 0 0 1 4 6 0 0 0 0 0 0 2 0 0 0 0 2 1 0 0 1
## [97165] 0 0 3 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2 0 0 0 0
## [97201] 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0
## [97237] 0 1 5 5 0 4 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 5 0 0 1 0 4 2 0 0 0 2 4 0 0 0
## [97273] 0 0 2 0 0 0 0 0 0 2 0 0 4 5 0 0 1 1 1 0 3 0 0 0 0 0 0 0 0 0 0 0 1 6 0 0
## [97309] 2 0 2 0 0 3 5 6 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 3 0 0 0 1 0 0 0 0 4 1 0 0
## [97345] 0 1 0 2 0 4 4 0 4 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0
## [97381] 0 0 0 2 1 0 0 0 0 0 0 0 9 0 5 5 6 0 2 0 3 0 1 1 0 0 0 0 0 0 2 5 0 0 0 0
## [97417] 2 5 5 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0
## [97453] 1 0 0 0 0 0 1 0 0 6 0 2 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [97489] 0 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 0 0 0 0 0 2 5 0 0 0 0 0 0 0 3 0 2 0 3 0
## [97525] 0 0 0 0 0 0 0 0 1 0 0 0 0 1 3 2 6 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0
## [97561] 0 4 0 0 0 0 5 0 0 0 0 3 4 0 0 0 0 0 0 7 3 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
## [97597] 1 1 0 0 1 0 0 0 0 1 3 0 0 5 3 0 0 0 0 0 3 0 0 2 0 0 0 3 0 0 0 1 0 0 0 0
## [97633] 0 0 0 0 0 0 0 0 1 2 0 0 0 0 3 0 3 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0
## [97669] 0 0 0 1 0 0 0 0 1 2 0 0 2 3 0 1 0 0 0 0 0 2 0 0 4 0 0 0 0 0 0 0 2 0 6 0
## [97705] 1 0 0 2 0 0 0 2 0 0 0 0 0 2 3 0 0 4 0 1 4 3 0 3 0 0 6 0 0 0 0 5 1 0 0 0
## [97741] 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 3 0 0 0 0 0 0 0 1 0
## [97777] 0 0 2 0 0 0 5 0 0 2 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [97813] 1 0 0 0 0 0 1 4 0 5 0 0 2 6 0 0 0 0 0 0 1 0 0 0 0 0 3 5 0 4 0 0 0 5 0 3
## [97849] 5 3 0 0 3 5 0 0 1 0 5 0 0 2 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0
## [97885] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 1 0 0 0 0 0 0 0 8
## [97921] 3 0 0 0 3 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 0 0 0 0 0 0
## [97957] 0 3 0 2 0 0 0 0 0 3 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0
## [97993] 0 0 0 0 0 0 0 0 0 6 0 4 0 0 0 0 0 0 0 0 0 0 2 0 0 4 3 0 0 0 3 0 0 0 3 2
## [98029] 0 1 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 6 5 3 0 9 7 0 0 5 0 0 0 0 3 0 0 0 1 0
## [98065] 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 1
## [98101] 0 0 0 0 1 4 0 7 0 0 0 0 0 0 1 0 0 0 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98137] 2 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 9 0 6 0 0 0 4 0
## [98173] 0 0 1 0 0 0 0 0 0 0 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0
## [98209] 0 0 0 0 0 0 3 0 0 1 0 0 4 0 0 0 0 0 0 1 0 6 0 0 0 0 3 1 0 0 0 0 0 0 0 0
## [98245] 0 0 6 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
## [98281] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0
## [98317] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 2 0 0 0 6 0 3 0 0 0 0 0 0 0
## [98353] 0 0 0 0 4 0 4 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [98389] 4 0 4 0 0 0 0 5 0 0 1 6 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0
## [98425] 0 0 0 0 0 1 0 0 0 0 0 1 0 0 3 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98461] 4 0 0 0 0 0 2 0 3 0 0 0 2 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 3 0 0 3 0 0 2
## [98497] 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 5 0 0 0 0 0 2 3 0 0 0
## [98533] 0 4 0 4 0 0 0 2 2 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
## [98569] 0 0 5 0 0 0 0 0 0 0 0 0 0 6 1 0 7 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 1 0 0
## [98605] 0 0 0 0 0 0 0 0 0 0 0 1 0 2 3 0 0 0 1 2 0 0 0 0 0 0 0 0 2 0 1 3 1 0 2 3
## [98641] 0 2 0 0 0 2 0 0 0 0 0 0 8 0 2 0 0 0 0 0 0 0 0 0 0 0 1 1 4 0 0 0 0 0 0 0
## [98677] 1 0 7 1 0 3 1 1 1 2 0 0 0 0 0 0 0 0 6 0 2 0 5 0 2 1 0 0 0 0 3 1 4 0 2 0
## [98713] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 5 2 0
## [98749] 0 0 0 0 0 0 4 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 9 0 0 0 1 0 0 3
## [98785] 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 1 0 1 0 0 2 0 1 3 5 0 0 1 2 0
## [98821] 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 3 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 0
## [98857] 0 0 0 0 0 3 0 2 0 0 0 0 0 0 2 2 1 2 0 3 1 0 0 0 0 0 0 5 0 0 0 0 4 1 2 0
## [98893] 0 0 3 0 0 2 7 0 2 5 0 0 3 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 5 0 6 0 0 0 0
## [98929] 2 0 0 3 1 0 4 1 0 3 0 6 0 1 0 0 0 2 0 5 0 0 0 0 4 0 0 0 0 0 0 0 5 0 0 0
## [98965] 2 0 0 5 0 0 1 0 6 4 0 0 4 0 0 0 2 2 1 0 0 0 1 0 0 0 0 3 0 0 0 4 0 1 4 0
## [99001] 0 0 0 1 0 0 1 0 3 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 4 0 0 0 0 2 0 0 0 0 0 0
## [99037] 4 0 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 1 0 0 1 0 0 2 0 0 0 0 0 2 0 1 0 0
## [99073] 0 0 3 0 1 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 5 0
## [99109] 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0
## [99145] 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1
## [99181] 3 0 0 0 4 1 0 2 4 0 0 0 0 0 0 0 0 0 0 7 0 2 0 0 0 0 6 0 0 0 0 0 0 0 0 1
## [99217] 0 0 0 0 0 0 0 0 1 4 0 0 6 4 2 0 0 0 3 0 0 0 0 0 2 0 0 7 0 5 0 0 0 0 0 0
## [99253] 0 0 0 0 0 0 0 7 0 8 0 0 0 0 2 0 0 1 0 0 0 0 0 0 1 0 0 2 0 0 0 0 4 0 0 0
## [99289] 0 0 0 3 0 0 0 0 0 0 0 5 3 0 0 0 5 5 1 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 0
## [99325] 3 0 2 0 0 0 0 4 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 4 0 6 0 0 0 0 1 0 0
## [99361] 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0
## [99397] 0 2 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 6 0 5 0 0 0 1 0 0 0 0 5 0 0 9 0 0 0
## [99433] 1 0 0 1 0 0 2 0 0 0 0 0 2 0 0 0 6 4 0 5 0 0 0 0 0 6 0 0 6 0 0 0 0 1 0 0
## [99469] 0 0 0 0 0 0 0 1 0 2 0 3 0 0 4 0 0 3 0 2 0 0 2 0 0 0 0 1 0 0 0 0 0 5 0 0
## [99505] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
## [99541] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 3 0 0 0 0 0 0 0 4 1 0 3 0 0 0 0 1 5 0 0 0
## [99577] 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 1 0 5 0 0 0 0 0 1 0 3 2 0 1 0 0 0
## [99613] 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 3 0 0 0 0
## [99649] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 7 0 0 0 0 0 0 0 0
## [99685] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
## [99721] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 1 0 0 3 0
## [99757] 0 1 0 0 5 0 0 0 0 1 0 0 0 0 0 6 0 0 3 0 0 0 4 5 0 0 0 0 0 0 0 0 0 0 0 0
## [99793] 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99829] 0 0 0 0 0 0 0 7 0 0 0 0 0 0 2 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99865] 5 0 0 0 0 0 0 0 1 0 0 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4
## [99901] 0 0 1 0 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3
## [99937] 0 0 0 0 0 0 5 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [99973] 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 5 0 0 0 0 0 0 0
## [ reached getOption("max.print") -- omitted 6083 entries ]table(violec_especif16$viol16_fis_total)##
## 0 1 2 3 4 5 6 7 8 9
## 87130 6316 3920 2881 2289 1857 911 475 163 140hist(violec_especif16$viol16_fis_total)
violec_especif16$viol16_fis_disc = factor(violec_especif16$viol16_fis_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"))
table(violec_especif16$viol16_fis_disc)##
## No Sí
## 87130 18952# violencia16 psicica
violec_especif16$viol16_psi_total =
(violec_especif16$violencia16_psicologica1+
violec_especif16$violencia16_psicologica2+
violec_especif16$violencia16_psicologica3+
violec_especif16$violencia16_psicologica4+
violec_especif16$violencia16_psicologica5+
violec_especif16$violencia16_psicologica6+
violec_especif16$violencia16_psicologica7+
violec_especif16$violencia16_psicologica8+
violec_especif16$violencia16_psicologica9+
violec_especif16$violencia16_psicologica10+
violec_especif16$violencia16_psicologica11+
violec_especif16$violencia16_psicologica12+
violec_especif16$violencia16_psicologica13+
violec_especif16$violencia16_psicologica14+
violec_especif16$violencia16_psicologica15)
violec_especif16$viol16_psi_total## [1] 2 0 2 2 5 9 NA 1 NA 0 NA 3 0 NA 1 NA 5 13 9 NA NA 9 0 0
## [25] 0 0 0 0 0 NA 0 2 0 3 0 5 3 0 3 0 1 0 0 NA 1 4 1 4
## [49] 0 0 1 2 0 10 0 0 0 NA 4 6 1 NA 0 NA 7 0 0 NA 4 12 0 NA
## [73] 5 0 4 NA NA 7 2 0 1 NA 4 3 0 6 5 10 0 4 1 NA 0 NA 5 0
## [97] NA 0 NA 0 0 9 NA NA 0 11 0 0 2 0 0 0 0 0 11 3 0 0 0 0
## [121] 4 4 NA NA 0 1 6 0 0 5 NA 0 1 NA NA 0 NA 0 0 11 0 0 NA 6
## [145] 2 NA 1 0 0 NA 0 11 0 6 0 2 0 0 0 0 0 0 0 0 0 3 NA 0
## [169] 1 0 0 0 0 NA 0 0 0 0 0 0 NA 0 0 0 0 0 0 7 0 5 2 NA
## [193] NA 0 9 4 4 NA NA 0 NA NA 12 NA 0 3 1 5 9 NA NA NA 4 4 0 4
## [217] NA 6 2 2 0 2 5 0 5 NA 1 NA NA 0 2 0 0 NA 5 NA 2 0 0 5
## [241] 0 4 NA NA 0 10 0 1 3 NA 0 0 0 1 0 0 0 0 2 7 NA NA 1 0
## [265] 0 NA 0 0 4 3 0 NA 0 2 7 NA 0 0 0 NA 0 2 NA 0 0 0 0 0
## [289] 0 0 NA NA 0 1 NA 0 1 1 9 0 0 0 0 0 0 0 0 4 12 2 7 1
## [313] 1 0 5 0 2 3 4 0 NA NA NA NA 0 0 0 NA NA 0 0 0 0 0 6 0
## [337] 0 0 0 4 2 1 0 0 NA NA 0 0 8 0 NA 1 7 0 0 0 0 NA 1 NA
## [361] 0 7 7 0 0 1 1 0 2 3 NA 1 9 0 1 2 NA 1 NA 1 2 1 7 0
## [385] 2 2 0 0 NA 0 NA 5 NA 0 0 0 5 NA NA 0 0 NA 9 2 0 0 0 NA
## [409] 3 NA 8 2 NA NA 3 1 3 1 0 6 NA 1 0 NA NA 0 0 0 4 3 2 NA
## [433] 0 0 NA 1 NA 0 7 3 2 0 1 0 0 2 5 3 NA 2 7 0 2 0 8 2
## [457] 0 NA 5 NA 0 0 NA 1 0 NA 0 NA NA 1 4 1 0 3 10 0 0 0 6 1
## [481] 0 0 0 9 9 NA 2 10 3 0 9 0 6 NA 0 0 0 0 6 4 0 1 0 NA
## [505] 0 NA NA 0 0 1 1 0 NA 1 8 4 1 NA 0 0 0 NA 0 1 0 NA 0 0
## [529] NA NA 0 3 3 3 NA 2 0 9 0 0 5 0 0 NA NA NA 0 NA 0 0 0 0
## [553] 0 0 0 NA 0 0 0 NA 0 10 6 0 12 2 2 0 NA 1 0 1 0 0 5 0
## [577] 0 NA 0 0 11 NA 0 0 0 NA 1 12 0 7 0 13 0 8 0 0 3 0 2 0
## [601] NA 0 NA NA NA 0 4 0 0 9 NA 1 1 NA 0 NA 6 6 NA 5 0 NA NA 3
## [625] 0 0 NA NA 4 0 NA 6 0 5 0 8 1 0 NA 0 0 6 2 NA 0 0 0 NA
## [649] 10 8 NA 0 0 1 0 7 2 2 10 0 NA 0 0 0 NA 0 1 NA 0 1 NA 0
## [673] 0 5 0 0 0 0 0 NA 4 2 3 2 6 0 1 10 NA 0 NA 0 0 0 4 2
## [697] 1 5 1 NA 0 0 0 4 0 0 8 0 0 3 NA 1 NA 8 0 0 NA 13 0 0
## [721] 0 0 9 NA 2 2 0 NA NA 1 1 0 NA 0 3 1 0 NA NA 9 NA 4 0 1
## [745] 1 3 2 NA 5 0 0 6 0 4 NA NA 3 NA 0 0 0 8 2 2 10 2 2 4
## [769] NA 1 0 0 NA NA 0 4 NA NA 4 2 6 0 3 0 NA 0 0 3 NA NA 8 4
## [793] 8 3 9 0 0 0 NA 0 3 0 0 NA 5 0 4 0 3 0 NA 0 7 0 7 0
## [817] 2 0 0 NA 0 0 0 0 1 0 0 0 0 NA NA NA 1 1 1 10 0 NA 2 0
## [841] 4 0 13 NA 0 13 NA NA 1 3 1 5 0 0 1 0 0 NA 1 15 0 0 0 0
## [865] 9 NA 0 0 0 NA 4 4 0 4 0 NA 0 0 3 1 11 2 6 2 NA 2 1 1
## [889] 0 NA 1 8 4 4 NA 7 0 NA 4 2 7 4 NA 1 3 4 0 1 0 2 NA 0
## [913] 2 0 NA 1 0 6 0 0 3 0 0 1 6 4 7 0 1 0 NA 6 2 1 1 5
## [937] NA 0 NA 3 5 2 1 0 0 3 8 0 0 5 0 0 0 2 0 2 0 1 0 0
## [961] NA NA 1 2 2 NA 0 NA 1 7 9 0 0 0 0 0 0 1 0 2 NA 1 0 0
## [985] 0 2 0 2 1 2 0 0 1 6 NA 4 NA 1 1 0 NA NA 1 0 1 1 1 0
## [1009] 0 12 2 7 NA NA NA 0 2 0 NA 0 5 NA 0 4 2 7 5 NA 7 0 9 6
## [1033] 4 7 2 0 3 5 0 0 0 3 0 NA 0 NA 0 NA 5 NA 0 8 6 8 0 7
## [1057] 9 0 2 0 0 2 0 2 NA 9 6 4 2 4 9 7 9 0 6 1 0 NA NA 0
## [1081] 0 NA 1 NA 0 0 11 0 0 0 7 NA 5 NA 0 4 0 1 3 6 7 0 3 NA
## [1105] 2 0 1 0 0 3 13 6 NA NA 2 4 NA 0 5 0 0 0 NA 0 5 0 0 1
## [1129] NA 0 NA 1 NA 1 0 0 0 10 NA 0 2 14 8 3 1 0 0 0 2 7 12 NA
## [1153] 0 0 NA 0 0 0 0 NA 0 0 0 0 NA 0 NA 0 2 1 3 0 NA 1 NA 0
## [1177] 1 0 0 0 0 0 0 0 12 7 11 0 0 1 0 5 6 NA 3 0 1 0 0 0
## [1201] 0 8 0 3 0 4 0 0 0 15 6 2 4 NA 10 NA 9 0 1 5 NA 10 2 0
## [1225] 4 NA 10 0 0 0 0 0 3 0 0 0 4 0 6 2 NA 2 0 0 3 0 1 NA
## [1249] 1 5 1 0 5 NA 6 1 NA 0 1 0 6 NA 0 0 0 NA 0 NA 0 6 3 1
## [1273] NA 5 8 0 0 15 NA 0 1 0 NA 0 NA 0 2 0 2 4 NA 2 7 12 7 0
## [1297] 0 0 NA NA 0 9 NA 5 2 0 1 0 0 NA 2 0 0 NA 1 1 NA NA 6 1
## [1321] 0 2 0 0 3 0 0 0 9 1 0 3 0 NA 2 0 2 0 4 12 NA NA 12 0
## [1345] NA NA 0 NA NA 4 NA 0 0 0 0 1 NA 0 NA 1 0 1 0 1 0 7 10 5
## [1369] 0 0 0 0 NA 6 0 0 0 0 0 4 0 NA 0 NA 11 0 0 4 0 0 0 1
## [1393] 1 0 0 6 0 2 0 0 4 0 1 0 9 2 0 8 7 6 0 0 0 0 1 4
## [1417] 8 6 6 0 0 0 0 6 0 5 4 1 NA 3 0 0 1 0 1 0 NA 14 4 12
## [1441] 9 1 2 0 6 9 1 0 0 4 0 11 2 0 1 6 3 NA 0 0 1 0 1 0
## [1465] 3 NA 8 NA 0 0 1 3 0 0 0 0 3 3 1 1 2 5 7 0 0 0 6 NA
## [1489] 0 12 0 0 0 1 3 1 1 9 8 0 0 3 5 NA 2 NA 0 0 0 3 8 0
## [1513] 12 5 0 7 8 0 0 0 0 0 0 7 NA 1 6 0 0 2 0 1 0 0 0 9
## [1537] 0 NA 0 NA 1 3 0 13 5 0 0 2 1 6 8 0 5 0 0 NA 3 0 0 3
## [1561] 0 2 0 0 7 0 0 0 NA 2 9 10 8 1 0 4 1 7 0 7 0 0 0 5
## [1585] 2 1 3 7 0 5 0 2 0 5 0 1 0 1 0 1 0 0 0 3 1 0 0 0
## [1609] 4 1 1 2 0 NA 7 NA 1 0 1 10 0 7 4 4 NA NA NA NA 0 0 0 NA
## [1633] NA 2 0 0 0 4 0 NA 12 7 NA 5 1 7 0 1 0 1 3 NA 5 0 0 0
## [1657] 0 0 NA NA 0 NA 0 1 3 1 NA 0 0 0 0 8 0 0 2 1 0 1 0 NA
## [1681] 0 NA 0 0 0 2 1 2 0 0 1 2 0 0 NA 0 0 0 2 0 2 NA 2 NA
## [1705] 0 4 14 1 1 NA 0 3 NA 1 0 2 1 0 1 0 0 2 8 0 2 0 1 5
## [1729] 0 4 NA 2 0 0 0 0 1 0 0 4 NA NA 0 0 8 0 3 1 0 0 1 NA
## [1753] 1 NA NA 11 NA 4 1 0 0 0 2 0 2 0 0 0 0 2 0 2 2 1 12 6
## [1777] 3 0 1 2 0 NA 1 NA 2 3 NA NA 10 0 0 3 0 NA 0 0 0 0 0 0
## [1801] 0 12 1 0 0 1 2 1 0 0 0 0 0 9 11 0 0 5 0 7 NA 12 1 0
## [1825] 6 2 3 NA NA 0 11 0 6 4 0 NA 0 0 0 1 0 NA 0 0 0 1 0 2
## [1849] 0 1 6 2 0 7 2 0 4 0 4 NA 0 12 3 1 0 1 7 0 0 0 NA 0
## [1873] 0 4 1 NA 2 0 0 5 NA 12 3 0 0 0 NA 6 0 0 0 NA 0 4 0 1
## [1897] 0 0 NA NA 0 0 0 3 NA 0 0 3 0 7 0 1 0 0 0 4 0 0 0 9
## [1921] 13 0 1 0 0 0 0 NA 0 NA 1 0 1 0 1 NA 0 NA 2 0 NA 3 5 NA
## [1945] 0 7 2 NA 0 0 NA 1 0 0 0 NA 3 1 0 NA 2 NA NA 0 0 0 9 0
## [1969] 0 1 1 5 NA 10 0 0 7 NA 0 4 0 0 4 NA 3 NA 0 0 NA 0 0 NA
## [1993] 10 3 NA 5 0 NA 0 5 5 0 NA 0 3 0 0 0 0 0 8 NA 0 9 0 0
## [2017] 0 0 1 1 0 0 0 1 0 8 2 11 0 NA 1 0 1 0 4 0 4 5 0 NA
## [2041] NA 0 3 2 NA 7 0 NA 0 0 7 3 NA 4 0 4 2 0 NA 0 0 0 0 0
## [2065] 0 NA 1 5 8 0 NA NA 1 2 0 2 0 0 9 0 0 NA 0 0 0 NA 2 0
## [2089] 0 0 3 7 0 NA 3 0 0 1 2 2 NA 0 7 1 2 NA 0 NA 3 0 0 0
## [2113] 6 1 0 6 5 3 8 0 0 0 3 2 0 10 0 NA 8 1 3 NA 0 10 NA 2
## [2137] 2 0 0 0 0 4 0 0 3 0 0 NA 3 NA 0 2 3 4 10 NA 3 3 NA 0
## [2161] 3 0 2 3 5 NA 3 NA 0 NA 2 0 0 1 0 NA 0 0 4 0 1 5 2 0
## [2185] 0 0 0 0 2 0 NA 0 6 1 NA 0 6 1 14 0 1 4 NA 0 0 0 1 4
## [2209] 0 1 1 1 2 NA 0 1 1 0 0 1 3 NA 3 1 5 0 NA 0 NA 0 0 0
## [2233] 0 NA NA 0 0 0 NA 0 0 1 NA 4 0 1 4 NA 2 0 2 4 1 0 3 NA
## [2257] 9 0 2 NA 1 0 14 NA NA NA 8 0 0 NA 1 0 NA NA NA 1 0 3 3 0
## [2281] 0 9 0 0 1 0 3 6 0 0 1 NA 1 NA NA 0 0 NA 0 7 2 0 0 1
## [2305] 4 0 NA 0 0 0 0 NA 0 7 0 0 0 9 1 0 0 6 0 0 0 3 NA 0
## [2329] 0 NA NA NA 4 1 0 6 NA 1 NA NA 3 5 0 3 0 0 1 2 NA 1 0 3
## [2353] 1 2 NA 0 4 3 4 0 0 3 NA 6 14 0 3 0 4 NA NA NA 1 1 1 NA
## [2377] NA 0 0 0 5 0 0 NA 0 3 0 1 2 NA 1 0 0 0 0 4 NA 0 0 1
## [2401] 0 0 4 0 0 NA 0 2 NA NA 6 0 0 NA 10 0 0 0 0 3 4 0 0 0
## [2425] NA 0 2 0 2 0 NA NA 0 1 1 0 0 0 0 NA 13 1 0 0 0 0 0 0
## [2449] 0 0 NA 0 0 0 7 4 0 0 0 1 1 1 8 0 1 0 0 0 2 0 8 0
## [2473] 2 1 0 0 4 NA 7 9 0 1 2 6 NA 0 11 11 0 5 5 1 1 3 0 0
## [2497] 9 2 0 5 2 1 9 0 0 0 0 NA 0 1 NA 5 NA 0 0 4 2 0 0 0
## [2521] 2 NA 0 1 NA NA 3 NA 4 NA 0 10 6 1 0 6 0 0 0 5 12 0 0 NA
## [2545] NA NA 1 NA 13 NA 0 0 13 4 0 8 NA 5 0 5 0 NA 4 0 2 0 NA 0
## [2569] 0 5 0 0 0 0 1 0 0 0 2 NA 0 12 NA 0 0 0 0 NA NA 1 13 0
## [2593] NA 1 NA 3 1 7 NA NA 3 0 0 5 10 0 0 NA 0 0 2 NA 0 0 0 1
## [2617] 7 NA 0 0 NA 0 0 10 6 0 0 0 2 5 6 0 0 NA 0 0 0 2 0 0
## [2641] 2 8 13 0 NA 0 2 NA 1 6 3 1 0 1 0 9 3 0 4 NA NA 0 NA NA
## [2665] 1 NA 6 0 NA 0 1 6 2 7 0 NA 7 4 10 0 3 NA 0 0 0 0 NA NA
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## [96649] 9 0 0 NA NA 0 0 0 0 1 0 0 0 2 NA 0 0 0 0 NA 0 0 0 3
## [96673] 0 0 1 1 0 0 NA 0 0 0 6 0 0 0 0 0 0 0 NA 0 0 0 0 11
## [96697] 1 0 0 2 2 NA NA 1 NA NA NA 0 0 12 0 0 0 0 1 0 0 0 0 0
## [96721] 0 0 0 3 1 0 3 NA 1 0 0 NA 0 0 0 0 0 0 0 0 4 0 0 0
## [96745] 0 3 0 0 NA 3 NA 0 12 0 0 0 0 0 NA 0 0 0 0 NA 0 0 0 0
## [96769] 1 5 0 0 0 4 0 2 0 2 0 0 15 NA 0 0 0 0 0 0 1 0 1 1
## [96793] NA 2 0 0 0 0 0 0 9 11 NA 0 6 0 1 0 0 0 0 0 0 3 0 0
## [96817] 0 0 0 NA 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 7 NA 1 0 NA
## [96841] 0 0 2 0 5 7 11 0 0 2 NA 0 NA 0 NA 1 0 1 3 3 1 0 11 0
## [96865] 1 0 0 NA 0 0 0 0 0 0 NA 0 0 NA 0 0 1 1 1 3 0 1 1 14
## [96889] 0 0 0 0 0 0 0 0 0 0 0 15 0 1 0 5 2 0 0 0 0 0 0 0
## [96913] 2 NA 0 0 0 0 0 2 1 0 0 1 2 3 1 0 1 0 0 0 0 0 1 0
## [96937] 3 0 0 1 0 NA 0 4 0 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0
## [96961] 0 0 2 0 1 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 2 0 0
## [96985] 0 0 0 0 0 1 0 0 1 0 5 0 5 1 0 0 9 0 0 0 0 0 0 NA
## [97009] 3 4 0 0 8 0 7 0 0 0 4 0 1 0 0 2 0 0 0 0 0 4 0 0
## [97033] 1 0 0 1 NA 0 0 6 0 NA 1 1 1 8 2 1 3 0 0 11 7 NA 3 13
## [97057] 3 0 1 1 1 5 1 0 0 0 7 0 8 2 1 0 0 NA 0 0 2 0 0 1
## [97081] 7 0 NA 5 0 0 0 0 NA 0 0 0 0 0 4 2 0 7 0 10 0 0 0 0
## [97105] 0 NA 0 6 0 0 0 0 1 4 3 0 0 0 2 4 NA 1 0 0 0 4 7 0
## [97129] 0 1 14 2 0 0 NA 2 0 0 0 NA 0 11 5 0 2 3 2 13 0 0 0 0
## [97153] NA 0 4 1 0 0 NA 1 1 NA 0 0 0 2 4 7 0 0 1 1 NA 0 NA 0
## [97177] NA 11 0 0 NA 0 5 0 NA 0 0 0 0 NA 1 0 NA 0 0 1 0 0 NA 1
## [97201] 0 0 1 1 1 1 0 0 3 1 0 0 NA 2 6 1 0 4 0 0 NA 3 0 0
## [97225] 4 4 NA 0 2 0 1 0 0 2 0 1 2 6 4 5 0 2 NA 0 0 0 NA 6
## [97249] 0 0 0 NA 0 0 0 0 0 8 0 0 0 0 11 0 0 NA 0 1 2 0 0 0
## [97273] 0 0 1 2 0 0 0 1 NA 0 0 4 3 13 0 0 0 0 1 0 4 0 2 0
## [97297] 1 0 0 0 0 0 1 0 2 9 0 1 9 2 2 1 0 5 11 7 1 0 0 0
## [97321] NA 0 9 0 0 0 1 0 0 0 0 1 NA NA 0 6 0 0 0 0 8 4 3 1
## [97345] 0 2 NA 2 NA 4 8 0 11 NA 7 0 NA 1 0 0 0 0 1 NA 2 0 NA 0
## [97369] 0 0 2 0 2 1 0 0 0 2 0 0 4 0 5 1 NA 0 0 2 0 0 NA 1
## [97393] 12 NA 7 10 9 1 8 0 7 1 0 1 0 0 1 5 NA 0 NA 10 0 2 0 0
## [97417] 5 11 10 0 0 0 0 0 0 4 1 0 0 0 0 0 1 0 0 0 0 0 0 2
## [97441] 0 0 12 0 1 11 NA NA 0 0 0 NA 0 NA 0 0 1 8 3 0 0 12 3 7
## [97465] NA 3 0 0 0 0 0 0 7 2 NA 0 0 NA 0 NA 3 NA 0 0 NA 0 0 0
## [97489] 1 6 0 4 0 NA 0 4 1 0 1 0 0 11 0 0 0 0 0 0 NA 1 13 0
## [97513] 0 0 NA 0 0 0 4 4 0 3 3 0 1 5 1 9 2 1 0 NA 0 1 0 0
## [97537] 0 0 2 NA 5 0 0 0 4 0 6 0 0 0 NA 0 0 0 0 1 7 4 1 1
## [97561] 0 8 0 0 0 0 5 0 0 NA NA 6 4 0 0 0 0 0 0 11 1 0 0 0
## [97585] 0 0 0 0 0 0 0 0 1 3 0 0 2 3 NA NA 2 0 0 2 0 2 0 1
## [97609] 1 13 5 1 0 0 0 0 1 NA 0 1 0 0 0 2 0 4 0 0 0 3 0 0
## [97633] 0 0 0 0 0 0 1 NA 2 1 0 0 0 NA 1 0 9 0 0 1 1 0 0 0
## [97657] 0 1 0 0 2 0 0 0 1 1 4 0 0 0 0 1 NA 0 0 0 1 8 0 4
## [97681] 4 9 0 3 0 0 NA 0 0 0 0 5 1 NA 0 0 1 0 3 NA 1 4 10 0
## [97705] 4 NA 0 0 0 0 NA 5 0 0 2 0 0 2 1 0 0 7 0 1 5 5 0 12
## [97729] 0 0 11 0 0 3 0 6 3 0 0 0 0 0 4 1 0 0 1 7 0 0 0 0
## [97753] 6 0 8 0 0 1 0 0 0 12 1 0 0 0 2 2 0 0 1 0 0 0 4 0
## [97777] 1 0 8 1 2 11 12 2 0 2 1 3 0 0 5 0 0 0 0 0 0 4 0 NA
## [97801] 0 3 0 0 NA 3 0 2 NA NA 0 0 0 NA 0 NA 2 0 6 9 0 9 0 0
## [97825] 9 10 0 0 2 0 0 1 0 0 1 0 0 0 11 10 NA 10 0 0 NA 9 0 2
## [97849] 3 0 0 0 2 NA 1 0 3 0 12 NA 0 3 0 0 0 NA 0 0 0 0 0 3
## [97873] 0 0 1 0 0 0 NA 0 NA 3 0 0 0 0 0 0 0 0 0 5 0 NA 0 1
## [97897] 2 0 0 0 1 0 0 1 0 0 0 0 11 NA 0 6 4 4 0 0 1 2 0 3
## [97921] 0 0 0 0 5 0 0 0 0 2 2 1 0 NA 0 0 0 0 0 2 0 0 NA 3
## [97945] 0 6 0 0 0 0 0 1 0 0 0 0 0 1 1 4 NA 0 0 5 0 9 1 0
## [97969] 0 0 3 1 1 0 2 0 0 0 0 0 0 0 1 0 0 5 1 0 0 2 0 5
## [97993] 1 NA 0 2 0 0 0 1 0 2 1 7 0 0 1 0 0 NA 0 0 0 0 1 0
## [98017] 0 10 12 0 NA 0 7 0 1 NA 4 2 0 0 0 4 NA 0 0 0 NA NA 0 1
## [98041] 0 0 0 0 0 13 5 5 0 9 9 0 NA 5 0 1 0 0 10 0 0 0 NA 0
## [98065] 0 1 0 0 0 1 0 0 1 NA 0 0 0 0 0 2 2 0 0 0 1 0 1 NA
## [98089] 0 1 0 0 1 0 0 3 4 1 0 0 0 0 0 0 4 8 0 5 0 0 0 0
## [98113] 0 0 1 0 0 0 0 0 2 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0
## [98137] 0 0 0 1 1 3 0 0 NA NA 0 0 0 1 0 NA 0 NA 1 0 0 0 0 0
## [98161] 0 0 2 0 15 0 8 0 4 0 8 0 0 0 3 0 1 0 0 0 0 0 7 0
## [98185] 0 9 NA 2 2 0 0 0 0 NA 0 0 0 9 0 0 0 0 0 0 3 NA 0 0
## [98209] 0 0 0 0 0 0 5 0 0 1 NA 0 9 0 0 0 0 0 1 1 2 9 0 0
## [98233] 0 0 3 1 0 0 3 0 4 4 0 0 0 0 NA 0 4 1 0 NA 0 0 0 0
## [98257] 0 0 0 0 1 0 0 3 0 0 0 0 0 0 2 2 0 NA 0 0 0 1 6 0
## [98281] 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 5 3 0 0 0 4
## [98305] 0 0 2 4 2 NA 0 0 15 0 0 0 1 0 1 0 0 0 0 NA 0 1 0 NA
## [98329] 0 0 1 NA NA 0 NA 0 0 13 2 0 0 NA 6 0 5 0 0 NA NA 0 0 NA
## [98353] 0 0 0 0 7 0 4 0 0 0 0 0 0 0 0 2 0 1 NA 1 0 0 0 NA
## [98377] 0 0 0 1 0 5 0 0 0 0 5 0 4 0 9 0 0 0 NA 9 0 0 6 11
## [98401] 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 NA 0 0 0 0 NA 0 0
## [98425] 0 0 NA NA 0 0 0 2 0 0 0 5 0 1 2 0 3 0 0 0 0 0 1 0
## [98449] 0 2 0 0 0 0 0 0 NA 0 0 0 5 0 0 NA 0 0 4 0 4 0 0 0
## [98473] 2 NA 0 0 0 0 NA 8 NA 2 0 0 6 NA 0 0 1 3 0 1 3 NA NA 6
## [98497] 0 0 0 6 NA 0 1 0 NA 0 0 0 0 0 0 2 0 NA 2 1 0 1 0 0
## [98521] 2 10 0 0 0 1 1 3 1 NA 2 NA NA 6 0 8 0 0 0 3 0 0 0 0
## [98545] 8 0 0 0 0 NA 0 0 0 0 1 0 0 0 0 2 0 0 0 2 0 0 1 1
## [98569] 0 0 8 0 0 0 0 0 2 0 0 0 0 8 0 0 12 0 NA 0 0 0 1 0
## [98593] 3 2 0 0 0 5 0 0 NA 1 1 3 0 0 0 0 3 0 0 0 0 NA 0 4
## [98617] 0 9 8 0 0 0 0 6 0 0 NA 3 0 0 0 0 2 0 8 6 1 0 4 3
## [98641] 0 8 NA 0 0 6 3 0 0 0 0 0 6 2 5 0 0 0 0 0 1 1 0 2
## [98665] 0 0 1 4 4 0 0 NA 0 0 0 NA 0 0 10 4 0 6 0 1 NA 5 0 0
## [98689] 1 0 0 1 0 0 11 0 0 0 3 0 9 2 0 0 0 0 2 0 8 NA 6 2
## [98713] 0 1 0 1 NA 1 3 0 NA 0 0 1 NA 0 0 0 0 0 0 0 0 0 6 9
## [98737] 0 0 0 0 0 0 0 1 4 15 5 0 1 1 0 8 2 0 4 0 2 0 0 4
## [98761] 0 0 0 NA NA 0 0 7 0 NA 0 0 2 NA 2 0 13 1 0 0 0 0 0 6
## [98785] 0 0 2 0 15 0 0 5 0 4 0 NA 0 0 0 NA 0 12 1 6 2 0 0 9
## [98809] 0 1 3 0 3 5 7 NA 0 1 11 0 1 0 0 0 1 0 0 NA 0 0 0 2
## [98833] 0 NA 0 0 4 1 0 5 0 0 0 15 0 0 4 0 NA 0 0 0 NA 3 NA 0
## [98857] 0 1 0 3 0 5 0 2 0 0 0 0 NA 0 4 4 0 3 0 2 0 0 0 0
## [98881] 4 0 0 12 4 3 2 0 6 5 2 0 1 0 1 1 1 0 11 0 1 10 NA 0
## [98905] 1 2 2 0 0 NA 0 3 0 0 0 0 3 1 NA 0 5 7 0 10 NA 0 3 0
## [98929] 4 0 3 1 2 0 9 0 0 10 2 5 0 1 1 0 NA 5 4 12 0 0 0 0
## [98953] 3 0 0 0 0 1 0 NA 10 0 NA 1 0 0 0 6 0 0 6 0 10 9 0 0
## [98977] 6 0 0 0 7 4 5 1 0 NA 0 0 0 0 NA NA 3 NA 0 5 0 0 6 0
## [99001] 1 0 0 2 1 0 2 2 4 0 1 0 NA 0 0 0 1 6 1 2 0 NA 0 0
## [99025] 8 NA 1 0 1 6 0 0 0 2 NA NA 2 0 NA 0 0 0 0 0 0 0 NA 0
## [99049] 2 2 NA NA 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 5 0 3 0 0
## [99073] 0 NA 10 0 5 5 0 1 NA 0 0 NA 0 0 2 0 0 0 0 0 0 0 1 0
## [99097] 0 8 0 0 0 0 0 2 0 0 7 0 0 0 0 12 0 0 0 0 1 0 0 3
## [99121] 1 0 0 0 0 0 0 0 10 0 NA NA 0 1 6 4 1 0 3 1 0 0 0 0
## [99145] 0 2 0 0 NA 0 0 NA 0 2 0 6 2 0 0 0 0 2 0 1 8 0 0 3
## [99169] 0 NA 1 NA 2 0 1 0 1 NA 0 3 11 1 0 4 9 0 0 8 3 0 1 0
## [99193] 0 0 0 NA 0 3 1 11 NA 8 1 0 1 0 12 0 0 NA 1 0 NA 0 0 2
## [99217] 2 0 NA 3 0 4 0 0 2 4 0 3 2 8 3 1 2 0 4 0 0 0 0 NA
## [99241] 0 0 2 10 0 4 0 0 0 0 0 NA 0 0 0 0 0 0 0 NA 0 10 0 0
## [99265] 0 0 8 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 NA 0 1 0 0 0
## [99289] 1 0 0 0 0 1 0 NA 0 1 0 12 NA 0 NA 0 7 7 0 0 0 NA 2 0
## [99313] 0 0 0 7 2 0 0 2 1 1 NA 8 3 0 0 0 0 5 0 7 0 0 2 3
## [99337] 4 0 7 0 9 0 1 0 0 NA 0 0 2 0 4 0 15 1 0 0 1 4 NA 1
## [99361] 0 NA 3 3 0 4 0 0 10 2 0 0 0 0 0 0 1 0 0 NA 1 1 NA 3
## [99385] 0 2 NA 1 NA NA 0 NA 0 7 0 0 0 11 8 0 3 NA 0 0 2 10 0 0
## [99409] 1 0 1 0 0 1 12 0 5 NA 0 NA 3 2 NA 0 0 8 NA 0 12 0 0 0
## [99433] 5 0 0 5 0 0 7 0 3 0 0 5 2 NA 0 0 9 5 0 10 2 7 NA NA
## [99457] 0 7 0 2 8 0 0 0 0 2 0 2 1 0 0 0 0 0 0 5 0 3 0 7
## [99481] 0 0 2 0 0 5 0 4 0 0 2 0 4 0 0 3 0 0 0 0 0 3 1 NA
## [99505] 0 NA 0 0 NA 0 0 0 0 4 0 0 NA 0 0 0 7 NA 0 0 0 NA 1 1
## [99529] 0 1 4 NA NA 0 1 0 0 2 6 0 0 0 0 NA 0 1 1 0 0 0 NA NA
## [99553] 5 0 0 5 0 0 NA 0 3 1 0 4 6 2 2 2 1 1 0 4 7 0 0 0
## [99577] 0 0 0 0 2 0 NA 0 0 0 NA 0 1 0 8 4 4 0 3 10 0 5 0 2
## [99601] 0 0 NA 4 0 2 2 0 1 0 NA NA 0 NA 2 0 6 0 0 NA NA 0 0 0
## [99625] 6 1 0 2 2 NA 0 0 0 1 1 1 0 NA 2 0 0 0 2 2 0 0 0 0
## [99649] NA 0 5 0 0 0 0 0 1 3 0 0 NA NA 0 0 1 1 0 NA 0 0 0 0
## [99673] 7 5 0 11 0 0 NA 0 NA NA 0 0 0 0 0 0 0 0 0 0 0 2 0 0
## [99697] NA 1 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 NA 0 1 NA 0 1 NA 0
## [99721] 0 0 0 0 0 NA 0 NA 3 0 0 2 0 0 0 0 2 0 0 0 0 NA 0 1
## [99745] 0 NA 0 0 0 0 0 4 0 0 11 0 NA 5 NA 0 1 0 0 NA 0 0 0 0
## [99769] 0 0 0 10 1 2 4 NA 0 0 7 9 0 NA 0 0 NA 0 0 0 0 3 0 NA
## [99793] 1 NA 2 0 NA NA 0 NA 1 0 NA 10 0 2 1 0 2 0 0 0 0 0 1 0
## [99817] 0 NA 0 0 0 0 1 NA 1 NA 0 0 1 0 0 0 0 0 1 9 0 1 NA 0
## [99841] 0 0 5 0 0 0 0 2 1 0 0 NA 0 0 NA 2 0 0 0 NA 0 0 2 0
## [99865] 6 0 0 0 2 0 0 NA 3 0 0 8 0 NA 0 2 0 1 NA 0 0 5 0 1
## [99889] 1 0 NA 0 NA 0 0 NA NA NA 1 1 0 0 5 0 1 0 NA 0 0 1 0 NA
## [99913] 6 NA 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 NA 0 0 0 0 NA 2
## [99937] 0 0 0 1 0 0 8 0 0 0 0 0 NA 0 0 0 0 0 NA 4 0 NA 0 NA
## [99961] 0 0 0 0 0 0 0 NA 0 0 NA 0 5 0 NA 0 0 1 NA NA 0 0 0 0
## [99985] 4 0 0 0 0 0 0 7 1 0 0 0 0 0 0
## [ reached getOption("max.print") -- omitted 6083 entries ]table(violec_especif16$viol16_psi_total)##
## 0 1 2 3 4 5 6 7 8 9 10 11 12
## 56932 11152 6027 3942 3032 2470 2026 1691 1352 1141 905 665 500
## 13 14 15
## 319 134 154violec_especif16$viol16_psi_disc = factor(violec_especif16$viol16_psi_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif16$viol16_psi_disc)##
## No Sí
## 56932 35510# violencia16 sexual
violec_especif16$viol16_sex_total =
(violec_especif16$violencia16_sexual1+
violec_especif16$violencia16_sexual2+
violec_especif16$violencia16_sexual3+
violec_especif16$violencia16_sexual4+
violec_especif16$violencia16_sexual5)
table(violec_especif16$violencia16_sexual5)##
## 0 1
## 103591 2491violec_especif16$viol16_sex_total## [1] 0 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 0 2 2 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0
## [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
## [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [109] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0
## [145] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [181] 0 0 0 0 0 0 0 5 0 4 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0
## [253] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [289] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0
## [325] 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [361] 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [397] 0 0 0 0 0 0 2 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [433] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 3 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0
## [469] 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0
## [505] 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0
## [541] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0
## [577] 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [613] 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 1 0 0 0 0 0 0
## [649] 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
## [685] 1 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0
## [721] 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [757] 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0
## [793] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [829] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0
## [865] 3 0 0 0 0 4 4 0 0 0 0 0 0 0 1 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [901] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0
## [937] 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
## [973] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1009] 0 5 0 1 0 0 0 0 0 0 0 0 2 0 0 1 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1045] 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 2 0 0 0 0 0
## [1081] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1117] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 2 4 0
## [1153] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1189] 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 4 0 0
## [1225] 0 1 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [1261] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 2 0
## [1297] 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1333] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
## [1369] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1405] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 4 0 0
## [1441] 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1477] 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0
## [1513] 4 0 0 2 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
## [1549] 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1585] 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [1621] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0
## [1657] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1693] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1729] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0
## [1765] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [1801] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## [1837] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
## [1873] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1909] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
## [1945] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 4 0 0 0 0 0 0
## [1981] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
## [2017] 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0
## [2053] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
## [2089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [2125] 0 0 0 0 3 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0
## [2161] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0
## [2197] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2233] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0
## [2269] 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2305] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2341] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0
## [2377] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
## [2413] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [2449] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2485] 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
## [2521] 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2
## [2557] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0
## [2593] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [2629] 0 0 2 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0
## [2665] 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
## [2701] 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0
## [2737] 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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## [98425] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98461] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98497] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
## [98533] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98569] 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
## [98605] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1
## [98641] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98677] 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98713] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 0 0 0 0 0 0 0 0 0 0 0
## [98749] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0
## [98785] 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98821] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 2 0 0
## [98857] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0
## [98893] 0 0 0 0 0 0 5 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 5 0 0 0 0
## [98929] 0 0 0 0 0 0 3 0 0 0 0 4 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0
## [98965] 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99001] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [99037] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
## [99073] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0
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## [99145] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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## [99217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0
## [99253] 0 0 0 0 0 0 0 3 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99289] 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 2
## [99325] 0 0 0 0 0 0 0 2 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0
## [99361] 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0
## [99397] 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 5 0 1 0 0 0 0 0 0 3 0 3 0 0 0
## [99433] 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 4 0 1 3 0 0 0 0 0 0 0
## [99469] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99505] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99541] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
## [99577] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99613] 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99649] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 1 1 4 0 0 0 0 0 0 0 0
## [99685] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99721] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0
## [99757] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99793] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [99829] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99865] 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99901] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99937] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99973] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
## [ reached getOption("max.print") -- omitted 6083 entries ]table(violec_especif16$viol16_sex_total)##
## 0 1 2 3 4 5
## 99446 2819 1458 1115 855 389hist(violec_especif16$viol16_sex_total)
violec_especif16$viol16_sex_disc = factor(violec_especif16$viol16_sex_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif16$viol16_sex_disc)##
## No Sí
## 99446 6636# violencia16 economica
violec_especif16$viol16_eco_total =
(violec_especif16$violencia16_economica1+
violec_especif16$violencia16_economica2+
violec_especif16$violencia16_economica3+
violec_especif16$violencia16_economica4+
violec_especif16$violencia16_economica5+
violec_especif16$violencia16_economica6+
violec_especif16$violencia16_economica7)
table(violec_especif16$violencia16_economica7)##
## 0 1
## 82146 10296violec_especif16$viol16_eco_total## [1] 0 0 0 0 2 5 NA 0 NA 0 NA 2 1 NA 0 NA 3 5 3 NA NA 6 0 0
## [25] 0 0 0 0 0 NA 0 0 0 1 0 3 2 0 0 0 0 0 0 NA 2 0 0 0
## [49] 0 0 1 0 0 4 0 0 0 NA 0 0 0 NA 0 NA 1 0 0 NA 1 6 0 NA
## [73] 2 0 0 NA NA 3 0 0 1 NA 3 3 0 2 0 4 0 1 0 NA 0 NA 1 0
## [97] NA 0 NA 0 0 3 NA NA 0 3 0 0 0 0 0 0 0 0 5 3 0 0 0 0
## [121] 1 1 NA NA 0 0 3 0 1 1 NA 0 0 NA NA 0 NA 0 0 7 0 0 NA 5
## [145] 0 NA 0 0 0 NA 0 2 0 1 0 1 0 0 0 0 0 0 0 0 0 1 NA 0
## [169] 0 0 0 0 0 NA 0 0 0 0 0 0 NA 0 0 0 0 0 0 5 0 3 0 NA
## [193] NA 0 2 0 2 NA NA 0 NA NA 6 NA 0 1 1 0 1 NA NA NA 2 2 0 1
## [217] NA 4 1 4 2 0 0 0 0 NA 0 NA NA 0 0 0 0 NA 2 NA 0 0 0 2
## [241] 0 1 NA NA 0 5 0 0 1 NA 0 0 0 1 0 0 0 0 1 2 NA NA 0 0
## [265] 0 NA 0 0 0 1 0 NA 0 1 1 NA 0 0 0 NA 0 2 NA 2 0 2 0 0
## [289] 0 1 NA NA 0 0 NA 0 0 0 3 0 0 0 0 0 0 0 0 1 4 1 4 1
## [313] 0 1 4 0 2 4 0 0 NA NA NA NA 0 0 0 NA NA 0 0 0 0 0 3 0
## [337] 2 0 0 1 0 0 0 0 NA NA 0 0 4 0 NA 0 4 0 0 0 0 NA 1 NA
## [361] 0 3 5 0 0 0 0 0 0 4 NA 0 3 1 0 1 NA 0 NA 2 0 5 1 0
## [385] 1 3 0 0 NA 0 NA 1 NA 0 0 0 0 NA NA 0 0 NA 3 5 1 0 0 NA
## [409] 0 NA 4 2 NA NA 0 1 4 1 0 3 NA 0 0 NA NA 0 0 0 1 1 0 NA
## [433] 0 0 NA 0 NA 0 3 0 2 0 0 1 0 1 3 1 NA 0 2 0 2 0 3 1
## [457] 0 NA 0 NA 0 0 NA 1 0 NA 0 NA NA 1 1 0 0 4 5 0 0 0 0 0
## [481] 0 0 0 0 1 NA 0 3 1 0 4 0 4 NA 0 0 0 0 1 2 0 1 0 NA
## [505] 0 NA NA 0 0 1 1 0 NA 0 5 1 0 NA 0 0 0 NA 0 0 1 NA 2 0
## [529] NA NA 0 1 0 1 NA 1 0 3 0 1 4 0 0 NA NA NA 0 NA 0 0 0 0
## [553] 0 0 0 NA 0 0 0 NA 0 4 3 0 5 4 3 0 NA 1 0 1 0 0 0 0
## [577] 0 NA 0 0 4 NA 0 0 0 NA 0 6 0 2 0 4 0 4 0 0 0 0 1 0
## [601] NA 0 NA NA NA 0 3 0 0 2 NA 0 0 NA 1 NA 4 2 NA 3 0 NA NA 0
## [625] 0 0 NA NA 1 0 NA 3 0 0 0 5 0 1 NA 0 0 1 1 NA 0 0 0 NA
## [649] 4 1 NA 0 0 0 0 4 0 0 5 0 NA 0 0 0 NA 0 0 NA 0 0 NA 0
## [673] 0 2 0 0 0 0 0 NA 1 0 0 1 4 0 0 0 NA 0 NA 0 0 0 0 0
## [697] 1 2 0 NA 0 0 0 0 0 0 1 0 0 0 NA 0 NA 6 0 0 NA 5 0 0
## [721] 0 0 5 NA 1 0 0 NA NA 0 0 0 NA 0 2 0 0 NA NA 4 NA 4 0 2
## [745] 0 1 3 NA 0 0 0 1 0 1 NA NA 1 NA 0 1 0 3 0 3 5 3 2 3
## [769] NA 1 0 0 NA NA 0 0 NA NA 0 0 1 0 0 0 NA 2 0 3 NA NA 1 3
## [793] 5 1 6 0 0 0 NA 0 1 0 0 NA 5 0 1 0 1 0 NA 0 4 0 1 0
## [817] 2 0 0 NA 0 0 0 0 0 0 2 0 0 NA NA NA 0 0 2 5 0 NA 2 2
## [841] 0 0 4 NA 0 6 NA NA 0 0 3 0 0 1 0 0 0 NA 0 3 0 0 0 0
## [865] 1 NA 0 0 0 NA 2 0 0 4 0 NA 0 0 1 0 3 2 3 0 NA 2 0 0
## [889] 0 NA 1 3 1 0 NA 0 0 NA 1 0 1 1 NA 0 0 2 0 1 0 1 NA 0
## [913] 0 0 NA 0 0 1 1 0 0 0 0 0 0 3 4 0 0 0 NA 1 0 0 0 0
## [937] NA 0 NA 1 4 0 2 0 0 0 4 0 0 1 0 0 0 0 0 0 0 2 0 0
## [961] NA NA 0 0 0 NA 0 NA 0 3 3 0 0 1 0 0 0 1 0 0 NA 0 0 0
## [985] 0 1 0 2 0 0 0 0 2 3 NA 4 NA 0 0 0 NA NA 0 0 0 0 1 0
## [1009] 0 6 0 2 NA NA NA 0 0 0 NA 0 0 NA 0 4 0 3 0 NA 1 0 3 1
## [1033] 3 3 0 0 2 0 0 0 0 2 0 NA 0 NA 0 NA 0 NA 0 2 4 1 0 4
## [1057] 1 0 2 2 0 0 0 0 NA 4 3 2 1 0 2 4 1 0 3 0 0 NA NA 0
## [1081] 0 NA 0 NA 0 0 5 0 0 1 4 NA 3 NA 0 0 0 0 0 0 2 0 0 NA
## [1105] 0 0 1 0 0 2 4 0 NA NA 2 2 NA 0 3 0 0 0 NA 0 0 0 0 0
## [1129] NA 0 NA 1 NA 0 0 0 0 4 NA 0 1 6 2 0 0 0 0 0 0 1 5 NA
## [1153] 0 0 NA 0 0 0 0 NA 0 1 1 0 NA 0 NA 0 0 0 0 0 NA 0 NA 0
## [1177] 1 3 0 0 0 0 0 0 1 4 4 0 0 0 0 2 6 NA 0 0 0 0 0 0
## [1201] 0 5 0 0 0 4 0 0 1 4 1 1 1 NA 3 NA 2 0 0 1 NA 5 3 0
## [1225] 0 NA 6 0 0 0 0 0 1 0 0 0 1 0 3 1 NA 1 0 0 1 0 0 NA
## [1249] 0 4 0 0 2 NA 4 0 NA 0 0 0 0 NA 0 0 0 NA 0 NA 0 1 0 0
## [1273] NA 1 4 1 0 5 NA 0 0 0 NA 0 NA 0 0 1 3 4 NA 1 4 5 2 0
## [1297] 3 0 NA NA 0 0 NA 3 0 0 0 0 0 NA 0 0 0 NA 1 0 NA NA 4 0
## [1321] 0 0 0 0 1 0 0 0 4 0 0 0 0 NA 1 0 1 0 1 5 NA NA 7 0
## [1345] NA NA 0 NA NA 1 NA 0 0 0 0 0 NA 0 NA 1 0 0 0 1 1 1 4 0
## [1369] 0 0 0 0 NA 2 1 0 0 0 0 1 0 NA 0 NA 6 0 0 0 0 0 0 0
## [1393] 0 0 0 6 0 0 0 0 0 0 0 0 3 0 0 3 0 1 1 0 0 0 1 2
## [1417] 3 1 1 0 1 0 0 1 0 2 3 0 NA 4 0 0 0 0 1 0 NA 3 1 1
## [1441] 5 0 0 0 2 5 0 0 0 0 0 2 0 0 0 3 3 NA 1 0 1 0 0 0
## [1465] 0 NA 3 NA 0 0 0 0 1 1 0 0 0 2 0 0 1 3 2 0 0 0 1 NA
## [1489] 0 4 0 0 0 2 2 1 0 4 2 0 0 1 4 NA 0 NA 0 0 0 1 2 0
## [1513] 7 1 0 2 1 0 0 0 0 0 0 4 NA 0 2 0 0 0 0 0 0 0 0 2
## [1537] 0 NA 0 NA 0 1 0 5 1 0 0 0 0 3 4 0 0 0 0 NA 0 0 0 1
## [1561] 0 0 0 0 4 0 0 0 NA 1 3 2 4 0 0 0 0 0 0 4 0 2 0 0
## [1585] 2 0 5 3 0 2 0 0 0 2 0 3 0 0 0 0 1 0 0 2 0 0 0 0
## [1609] 1 0 0 0 0 NA 4 NA 0 0 0 1 0 0 1 2 NA NA NA NA 0 0 0 NA
## [1633] NA 0 0 0 0 0 0 NA 6 3 NA 0 0 1 0 0 0 0 0 NA 1 0 0 0
## [1657] 0 0 NA NA 0 NA 0 0 3 0 NA 0 0 0 0 3 0 0 1 0 0 0 0 NA
## [1681] 0 NA 0 0 0 1 0 0 0 0 0 0 0 0 NA 0 0 0 0 0 1 NA 0 NA
## [1705] 1 0 2 0 0 NA 0 0 NA 0 0 1 1 0 2 0 0 1 0 0 0 0 0 0
## [1729] 0 0 NA 0 0 0 0 0 0 0 0 0 NA NA 0 0 5 0 3 0 0 0 0 NA
## [1753] 1 NA NA 6 NA 0 0 0 1 0 2 0 1 0 0 0 0 0 0 2 1 0 4 1
## [1777] 1 0 0 0 0 NA 0 NA 2 0 NA NA 4 0 0 5 0 NA 0 0 0 0 0 0
## [1801] 0 1 0 0 0 1 0 0 0 0 0 0 0 6 4 2 1 2 1 2 NA 5 0 0
## [1825] 1 0 3 NA NA 0 3 0 2 0 0 NA 0 0 0 0 0 NA 0 0 0 1 0 1
## [1849] 0 0 4 0 0 3 0 0 1 0 2 NA 3 5 1 0 0 0 1 0 0 0 NA 0
## [1873] 0 1 0 NA 0 0 0 0 NA 5 0 0 0 0 NA 2 0 0 0 NA 0 0 0 0
## [1897] 0 0 NA NA 0 0 0 2 NA 0 0 0 0 4 0 0 0 0 0 0 0 0 0 1
## [1921] 4 0 0 0 0 0 0 NA 0 NA 1 0 1 0 0 NA 0 NA 1 0 NA 3 1 NA
## [1945] 0 0 0 NA 0 0 NA 1 0 0 0 NA 1 0 0 NA 0 NA NA 0 0 0 1 0
## [1969] 0 0 0 0 NA 2 0 0 3 NA 0 1 0 0 5 NA 2 NA 0 0 NA 0 0 NA
## [1993] 7 0 NA 2 0 NA 0 1 2 0 NA 0 0 0 0 1 0 0 1 NA 0 1 0 0
## [2017] 0 0 0 1 0 0 0 0 0 0 1 6 0 NA 0 1 0 0 3 0 2 2 0 NA
## [2041] NA 0 0 1 NA 4 0 NA 0 0 0 1 NA 0 0 2 0 0 NA 0 0 0 0 0
## [2065] 0 NA 0 6 2 0 NA NA 0 5 0 1 0 0 1 0 0 NA 0 0 0 NA 0 0
## [2089] 2 0 0 4 0 NA 3 1 0 0 0 0 NA 0 3 0 0 NA 0 NA 1 0 2 1
## [2113] 4 0 1 0 1 2 4 0 0 0 0 2 1 0 0 NA 4 0 3 NA 0 5 NA 0
## [2137] 0 0 0 0 0 2 0 0 2 0 0 NA 1 NA 0 1 2 1 6 NA 2 2 NA 0
## [2161] 1 0 1 3 5 NA 4 NA 0 NA 0 0 0 0 0 NA 0 0 2 0 0 5 1 0
## [2185] 0 0 0 0 0 0 NA 0 4 0 NA 0 0 0 6 0 0 4 NA 0 0 0 0 0
## [2209] 0 0 0 0 0 NA 0 0 0 0 0 0 1 NA 0 0 3 0 NA 0 NA 0 0 0
## [2233] 0 NA NA 0 0 0 NA 0 2 0 NA 1 0 0 2 NA 1 0 0 0 0 0 0 NA
## [2257] 3 1 0 NA 1 0 4 NA NA NA 2 0 1 NA 0 1 NA NA NA 0 0 3 1 0
## [2281] 0 6 0 0 0 0 0 1 0 0 0 NA 0 NA NA 0 0 NA 0 0 0 0 0 0
## [2305] 0 0 NA 0 1 0 0 NA 0 2 0 0 0 5 0 0 0 2 0 0 0 0 NA 0
## [2329] 0 NA NA NA 1 1 1 1 NA 0 NA NA 3 2 0 0 0 0 0 0 NA 0 0 0
## [2353] 0 0 NA 0 1 2 4 0 0 3 NA 5 5 0 4 0 1 NA NA NA 2 0 0 NA
## [2377] NA 0 0 0 2 0 0 NA 1 3 0 0 0 NA 0 0 0 0 0 1 NA 0 0 0
## [2401] 0 0 2 0 0 NA 0 2 NA NA 3 1 0 NA 4 0 0 0 0 0 2 0 0 0
## [2425] NA 0 1 0 1 0 NA NA 0 0 0 0 0 0 0 NA 6 0 0 0 0 0 0 0
## [2449] 0 0 NA 4 0 0 4 1 0 0 0 0 0 3 4 0 3 0 0 0 1 0 5 0
## [2473] 0 0 0 0 2 NA 3 3 0 0 0 2 NA 0 6 1 0 4 3 3 1 2 0 0
## [2497] 4 0 0 4 2 1 1 0 0 0 0 NA 0 0 NA 1 NA 0 0 0 0 0 0 0
## [2521] 1 NA 0 0 NA NA 2 NA 1 NA 0 1 0 1 0 4 0 0 0 1 3 0 0 NA
## [2545] NA NA 1 NA 4 NA 0 0 4 0 0 2 NA 1 0 3 0 NA 2 0 0 0 NA 0
## [2569] 0 3 0 0 0 0 0 0 0 0 0 NA 0 3 NA 0 0 0 0 NA NA 0 3 1
## [2593] NA 0 NA 0 0 3 NA NA 1 3 0 1 3 0 0 NA 0 3 0 NA 0 0 0 2
## [2617] 0 NA 0 0 NA 0 0 3 2 0 0 0 2 2 3 0 0 NA 0 0 0 1 0 0
## [2641] 0 3 4 0 NA 0 0 NA 1 4 1 0 0 0 0 1 1 0 2 NA NA 0 NA NA
## [2665] 1 NA 1 1 NA 0 0 4 1 0 0 NA 1 0 5 0 0 NA 0 0 0 0 NA NA
## [2689] 0 0 0 0 3 0 0 0 5 0 1 0 1 0 1 NA 0 0 0 NA 0 0 6 0
## [2713] 0 4 5 2 0 0 0 2 1 1 0 NA 0 2 3 5 1 1 1 0 NA 0 1 0
## [2737] 0 0 0 NA NA 1 0 0 3 0 0 0 0 1 0 3 2 2 0 0 0 0 4 NA
## [2761] 0 0 0 0 NA 0 0 0 NA 0 1 0 1 1 NA 0 NA 0 0 0 0 0 1 0
## [2785] 0 0 0 0 1 0 NA 1 0 0 0 0 1 2 NA 0 1 2 NA 1 0 0 0 4
## [2809] 0 NA 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 NA NA 0 0 0 2 2
## [2833] 0 NA NA NA 1 NA NA NA 0 NA 0 5 2 1 0 0 0 NA 0 0 NA 0 NA 0
## [2857] 0 0 1 NA 0 4 3 3 1 0 3 0 0 0 NA 1 0 0 0 0 NA 0 0 1
## [2881] 0 NA 1 0 0 0 3 0 2 NA 1 0 0 0 0 NA 0 4 0 0 0 0 0 NA
## [2905] 0 0 0 NA NA 0 0 0 0 NA 0 0 0 2 0 2 0 NA 0 0 0 0 0 5
## [2929] NA 1 NA 0 0 0 0 0 0 0 0 0 1 0 1 2 NA 0 0 0 1 0 0 0
## [2953] 0 0 0 NA NA 0 0 0 0 0 0 0 4 1 1 1 0 0 0 2 0 0 5 NA
## [2977] 0 0 0 0 NA NA 2 2 0 1 NA NA 1 1 0 0 0 0 2 1 0 0 0 0
## [3001] 2 0 1 0 NA 0 0 0 NA 0 0 0 1 1 4 0 0 1 0 0 1 0 0 0
## [3025] 1 NA 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 1 0 4 0
## [3049] 4 0 0 0 NA 0 0 0 0 1 NA 0 0 0 2 0 2 0 0 0 0 0 0 0
## [3073] 0 NA 2 0 0 0 2 0 0 0 0 0 0 NA 0 0 0 2 0 0 2 0 0 0
## [3097] 0 NA 0 0 0 0 0 0 2 0 0 0 0 NA 7 0 0 0 0 0 0 2 1 0
## [3121] 0 0 3 2 1 0 0 0 0 NA 0 0 7 1 0 0 0 2 0 1 0 4 0 0
## [3145] 0 0 NA 0 0 0 NA 0 0 0 NA 0 0 0 0 NA NA 5 0 NA 0 0 0 NA
## [3169] 0 0 NA 0 0 0 0 0 2 NA NA NA 0 0 1 2 1 4 1 NA 0 2 0 2
## [3193] 0 0 0 0 0 NA 0 0 0 0 1 0 NA 0 0 0 6 2 0 0 2 2 1 NA
## [3217] 0 1 0 3 1 0 0 0 0 NA 0 0 0 2 0 0 0 0 NA 0 3 0 0 0
## [3241] 0 NA NA 0 0 0 0 0 0 0 1 0 0 1 3 3 NA 4 NA 0 NA 0 1 2
## [3265] 0 NA NA 0 NA 0 0 4 0 NA 0 0 0 0 0 0 0 NA 0 0 0 0 0 NA
## [3289] 0 0 0 0 1 NA 0 0 2 NA NA 0 0 0 0 0 0 0 0 0 0 1 3 2
## [3313] 0 0 0 0 0 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
## [3337] 0 0 0 0 0 0 0 1 NA 0 0 0 0 0 NA 0 5 1 0 0 0 1 2 0
## [3361] 0 NA 0 0 0 0 0 0 0 0 3 NA 0 1 0 0 0 0 1 0 NA 0 5 0
## [3385] 0 0 0 0 1 4 6 0 0 0 0 0 0 0 0 0 6 3 0 0 0 0 0 0
## [3409] NA 1 0 NA 0 1 0 1 0 0 0 0 0 NA 2 0 0 0 0 0 0 0 0 0
## [3433] 0 0 NA 0 2 0 0 0 0 NA 0 0 0 0 NA NA 0 0 4 0 0 0 0 NA
## [3457] NA 0 0 0 0 0 0 0 1 0 0 0 0 0 NA NA 1 0 NA 1 0 0 0 0
## [3481] 0 0 0 0 0 NA NA 1 0 NA 0 1 1 5 NA 0 0 3 3 0 0 3 2 0
## [3505] 4 NA 0 0 0 0 1 NA NA NA 0 0 2 0 0 NA NA NA 0 0 0 4 0 0
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## [97585] 0 0 0 0 0 0 0 0 2 2 0 0 0 1 NA NA 1 1 0 0 0 0 0 1
## [97609] 0 4 3 0 0 0 0 0 0 NA 0 0 0 1 0 1 0 3 0 0 2 2 0 0
## [97633] 0 0 0 0 0 0 0 NA 0 0 0 0 0 NA 0 0 4 0 0 0 1 0 0 0
## [97657] 0 3 0 1 1 0 0 0 0 0 1 0 0 0 1 2 NA 1 0 0 0 2 0 4
## [97681] 1 4 0 1 0 0 NA 0 0 0 0 0 1 NA 0 0 0 0 1 NA 0 2 5 0
## [97705] 0 NA 0 0 0 0 NA 1 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 1
## [97729] 1 0 1 0 0 0 0 3 0 0 0 0 0 0 1 1 0 0 0 2 0 0 0 0
## [97753] 4 0 4 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [97777] 1 0 5 0 1 1 4 0 0 0 0 0 0 0 4 0 0 0 0 0 0 2 0 NA
## [97801] 0 1 0 0 NA 1 0 2 NA NA 0 0 0 NA 0 NA 0 0 1 1 0 4 0 1
## [97825] 6 4 0 0 0 0 0 0 0 0 0 0 0 0 6 6 NA 3 0 0 NA 4 0 0
## [97849] 4 0 0 0 0 NA 0 0 1 0 5 NA 0 2 1 0 0 NA 0 0 0 0 0 0
## [97873] 0 0 0 0 0 0 NA 0 NA 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0
## [97897] 4 0 0 0 0 1 0 0 0 0 0 0 5 NA 0 0 2 0 0 0 0 2 0 0
## [97921] 1 0 0 0 1 0 0 0 0 0 3 0 0 NA 0 0 0 0 0 0 0 0 NA 0
## [97945] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 NA 0 0 0 0 2 0 0
## [97969] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [97993] 0 NA 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 NA 0 0 0 0 3 0
## [98017] 0 2 6 0 NA 0 3 0 0 NA 0 0 0 0 0 1 NA 0 0 0 NA NA 0 0
## [98041] 0 0 0 0 0 6 2 4 1 5 6 0 NA 2 0 0 0 0 2 0 0 0 NA 0
## [98065] 0 0 0 0 0 2 0 0 0 NA 0 0 0 0 0 0 1 0 0 0 0 0 0 NA
## [98089] 0 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 6 0 2 0 0 0 0
## [98113] 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98137] 0 0 0 0 0 1 0 0 NA NA 0 0 0 1 0 NA 0 NA 0 0 0 0 0 0
## [98161] 0 0 2 0 7 0 5 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 3 0
## [98185] 0 4 NA 3 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 0 2 NA 0 0
## [98209] 0 0 1 0 0 0 4 0 0 0 NA 0 2 0 0 0 0 0 0 1 1 0 0 0
## [98233] 4 0 0 0 0 0 1 0 4 0 0 0 0 1 NA 0 3 0 0 NA 0 0 0 0
## [98257] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 0 1 1 0
## [98281] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0
## [98305] 0 0 0 0 0 NA 0 0 7 0 0 0 1 0 0 0 0 0 0 NA 0 0 0 NA
## [98329] 0 0 3 NA NA 0 NA 0 0 7 0 0 0 NA 6 0 0 0 0 NA NA 0 0 NA
## [98353] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 NA 0 0 0 0 NA
## [98377] 0 0 0 0 0 3 0 0 0 0 2 0 1 0 5 1 0 0 NA 2 0 0 1 6
## [98401] 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 NA 0 0 0 0 NA 0 0
## [98425] 0 0 NA NA 0 0 0 0 1 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0
## [98449] 0 1 0 0 0 0 0 0 NA 0 0 0 1 0 0 NA 0 0 0 0 0 0 0 0
## [98473] 0 NA 0 0 0 0 NA 2 NA 3 0 0 0 NA 0 0 0 0 0 2 0 NA NA 4
## [98497] 0 0 0 0 NA 1 0 0 NA 0 0 0 0 0 0 0 0 NA 1 0 0 0 0 0
## [98521] 0 5 0 0 0 0 1 3 0 NA 2 NA NA 4 0 5 0 0 0 0 0 0 0 0
## [98545] 6 0 0 0 0 NA 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0
## [98569] 0 0 5 0 1 0 0 0 2 0 0 0 0 1 0 0 3 0 NA 0 0 0 0 0
## [98593] 0 0 1 0 0 3 0 0 NA 1 0 0 0 0 0 0 0 0 0 0 0 NA 1 1
## [98617] 0 2 2 0 0 1 0 1 0 0 NA 2 0 0 0 0 0 0 2 1 2 0 1 0
## [98641] 0 5 NA 0 0 3 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2
## [98665] 0 0 0 6 2 0 0 NA 0 0 0 NA 1 1 5 1 0 3 0 0 NA 1 0 0
## [98689] 1 0 0 2 0 0 6 0 0 0 3 0 4 4 0 0 0 0 0 0 2 NA 3 1
## [98713] 0 4 0 2 NA 1 2 0 NA 0 0 1 NA 0 0 0 0 0 1 0 0 0 3 1
## [98737] 0 0 0 0 0 0 0 0 3 3 0 0 1 0 0 0 0 0 0 0 0 0 0 2
## [98761] 0 0 0 NA NA 0 0 3 0 NA 0 0 1 NA 1 0 5 3 0 0 0 0 0 1
## [98785] 0 0 0 0 7 0 0 0 0 2 0 NA 0 0 0 NA 0 4 0 3 0 0 0 3
## [98809] 0 0 0 0 1 1 5 NA 0 0 4 0 2 0 0 0 0 0 0 NA 0 0 0 1
## [98833] 0 NA 1 0 2 2 0 1 0 0 0 7 0 0 1 0 NA 0 0 0 NA 2 NA 0
## [98857] 0 0 0 0 1 0 0 0 0 0 0 0 NA 0 1 0 1 0 0 0 0 0 0 0
## [98881] 0 0 1 4 2 0 1 0 2 2 3 0 0 1 4 0 0 0 7 0 0 6 NA 0
## [98905] 1 0 0 0 0 NA 0 1 1 0 0 0 1 0 NA 0 2 1 0 5 NA 0 0 0
## [98929] 1 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 NA 1 1 5 0 0 0 0
## [98953] 2 0 0 0 0 1 0 NA 0 0 NA 0 0 1 0 1 0 0 6 0 4 4 0 0
## [98977] 0 0 0 0 0 2 3 0 0 NA 0 0 0 0 NA NA 0 NA 0 1 0 1 3 0
## [99001] 0 0 1 0 0 0 0 0 0 0 0 0 NA 0 1 0 0 1 1 1 0 NA 0 0
## [99025] 0 NA 0 0 0 1 0 0 0 0 NA NA 0 0 NA 0 0 0 0 0 0 0 NA 0
## [99049] 1 0 NA NA 0 0 1 0 0 2 1 0 0 0 0 0 0 0 0 1 0 0 0 0
## [99073] 0 NA 0 0 1 2 0 0 NA 0 0 NA 0 0 3 0 0 0 0 0 0 0 1 0
## [99097] 0 2 0 0 0 0 0 0 0 0 4 2 0 0 0 4 0 0 0 0 0 3 0 2
## [99121] 0 0 0 0 1 0 0 0 3 0 NA NA 0 0 2 1 0 0 1 0 0 0 0 0
## [99145] 0 2 0 0 NA 0 0 NA 0 0 0 1 1 0 0 0 1 1 0 0 3 0 0 1
## [99169] 0 NA 0 NA 1 0 0 0 0 NA 0 0 3 0 0 2 2 2 1 3 0 0 1 0
## [99193] 0 0 0 NA 0 1 1 6 NA 4 0 0 3 0 1 0 0 NA 0 0 NA 0 0 0
## [99217] 0 0 NA 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 NA
## [99241] 0 0 1 5 0 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 NA 0 1 0 0
## [99265] 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 2 0 0 0
## [99289] 0 0 0 0 0 0 0 NA 0 0 0 6 NA 0 NA 0 0 4 0 0 0 NA 0 0
## [99313] 0 0 0 0 2 0 0 0 0 0 NA 2 1 0 0 0 0 2 0 1 0 0 0 0
## [99337] 0 0 0 0 0 0 0 0 0 NA 0 0 2 0 0 0 2 0 0 0 0 2 NA 0
## [99361] 0 NA 3 1 0 3 0 0 4 0 0 0 0 0 0 0 1 0 0 NA 0 0 NA 1
## [99385] 0 0 NA 0 NA NA 0 NA 0 1 0 0 0 3 1 0 1 NA 0 0 0 4 0 0
## [99409] 1 0 0 0 0 0 0 0 0 NA 0 NA 0 0 NA 0 0 5 NA 0 1 3 0 0
## [99433] 2 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 2 3 2 0 0 1 NA NA
## [99457] 0 2 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
## [99481] 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 NA
## [99505] 0 NA 0 0 NA 0 0 0 0 0 0 0 NA 0 0 0 3 NA 0 0 0 NA 0 0
## [99529] 0 0 1 NA NA 0 0 0 0 0 4 0 1 0 0 NA 0 0 0 0 0 0 NA NA
## [99553] 2 0 0 0 0 0 NA 0 3 1 0 0 0 2 1 1 1 0 0 2 0 0 0 0
## [99577] 0 0 0 0 1 0 NA 0 0 0 NA 0 0 0 4 1 0 0 0 4 0 2 0 0
## [99601] 0 1 NA 2 0 0 1 0 3 0 NA NA 0 NA 0 1 4 0 0 NA NA 0 0 0
## [99625] 5 0 0 1 1 NA 0 0 0 0 3 0 0 NA 0 0 0 0 0 0 0 0 0 0
## [99649] NA 0 0 0 0 0 0 0 0 1 0 0 NA NA 0 0 0 3 0 NA 0 0 0 0
## [99673] 3 1 1 4 0 0 NA 0 NA NA 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99697] NA 0 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 NA 0 0 NA 0 0 NA 0
## [99721] 1 0 0 0 0 NA 0 NA 1 0 0 0 2 0 0 0 0 0 0 0 0 NA 0 0
## [99745] 0 NA 0 0 0 0 0 1 0 0 0 0 NA 1 NA 0 0 0 0 NA 0 0 0 0
## [99769] 0 0 0 1 1 0 0 NA 0 0 3 4 0 NA 0 0 NA 0 0 0 0 0 0 NA
## [99793] 0 NA 0 0 NA NA 0 NA 1 0 NA 0 0 0 0 0 1 0 0 0 0 0 0 0
## [99817] 0 NA 0 0 0 0 0 NA 0 NA 0 0 0 0 0 0 0 0 1 3 1 0 NA 0
## [99841] 0 0 1 0 0 0 0 0 1 0 0 NA 0 0 NA 0 0 0 0 NA 0 0 0 0
## [99865] 4 0 0 0 1 0 0 NA 1 0 0 2 0 NA 0 2 0 0 NA 0 0 5 0 1
## [99889] 0 0 NA 0 NA 0 2 NA NA NA 0 0 0 0 2 0 0 0 NA 0 0 0 0 NA
## [99913] 6 NA 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 NA 0 0 0 0 NA 1
## [99937] 0 0 0 0 0 0 3 0 0 0 0 0 NA 0 0 0 0 0 NA 1 0 NA 0 NA
## [99961] 0 0 0 0 0 1 0 NA 0 0 NA 0 1 0 NA 0 0 1 NA NA 0 0 0 0
## [99985] 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0
## [ reached getOption("max.print") -- omitted 6083 entries ]table(violec_especif16$viol16_eco_total)##
## 0 1 2 3 4 5 6 7
## 70879 9413 4436 3100 2315 1366 665 268table(violec_especif16$violencia16_sexual5)##
## 0 1
## 103591 2491violec_especif16$viol16_eco_disc = factor(violec_especif16$viol16_eco_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif16$viol16_eco_disc)##
## No Sí
## 70879 21563# hier schreiben wir alles um, damit wir nur noch No y Si haben
# violencia2121 fisica
violec_especif21$viol21_fis_total =
(violec_especif21$violencia21_fisica1+
violec_especif21$violencia21_fisica2+
violec_especif21$violencia21_fisica3+
violec_especif21$violencia21_fisica4+
violec_especif21$violencia21_fisica5+
violec_especif21$violencia21_fisica6+
violec_especif21$violencia21_fisica7+
violec_especif21$violencia21_fisica8+
violec_especif21$violencia21_fisica9)
violec_especif21$viol21_fis_total## [1] 0 0 0 0 0 0 0 0 4 0 0 0 2 0 0 3 0 0 0 0 1 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [37] 0 0 0 0 0 0 3 0 0 2 0 0 0 0 0 0 2 0 4 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 1
## [73] 2 2 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 2 5 0 0 0 0 4 0 0 0 0 0 0
## [109] 0 0 0 1 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 1 1
## [145] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 2
## [181] 0 0 0 0 0 0 0 0 0 0 0 1 0 4 0 0 3 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [217] 0 0 0 4 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
## [253] 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 2 0 0 0
## [289] 0 2 4 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [325] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
## [361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 3 0 0 0
## [397] 0 3 0 0 0 3 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 3
## [433] 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 2 0
## [469] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 6 0 0 0 0 0 1 0 0 3 3 0
## [505] 2 0 0 0 4 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 5 0 0 2 0
## [541] 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 2
## [577] 1 0 0 1 0 0 0 2 0 2 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 4 0 0 0 3
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [649] 0 0 0 0 0 0 0 0 0 0 7 4 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
## [685] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
## [721] 0 4 0 0 0 0 0 0 0 0 1 6 0 0 4 0 5 1 0 0 0 0 1 2 0 0 2 5 0 0 0 0 0 0 0 3
## [757] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [793] 0 0 0 0 0 2 0 0 0 0 1 0 0 4 0 0 0 0 6 0 1 0 0 0 6 1 0 0 0 0 0 0 0 4 0 0
## [829] 0 0 0 5 0 5 1 0 0 0 0 0 0 0 1 0 7 0 0 0 3 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0
## [865] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
## [901] 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5
## [937] 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 3 0 0
## [973] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 2 0 1 0 0 0 0 0 0 1 0 5 0 0 0
## [1009] 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 6 0 1 0 0 0 0 6 0 0 0 2 0
## [1045] 0 0 0 0 1 0 0 3 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 1 1 0 0 0
## [1081] 0 1 1 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0
## [1117] 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0
## [1153] 0 0 0 0 0 1 5 0 5 0 0 0 0 0 0 0 0 2 0 0 1 0 0 7 0 0 0 0 0 1 0 0 0 0 0 1
## [1189] 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 5 0 0 0 1 0 0 0 0 0 0 3 2 0 0 2 0 0
## [1225] 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1261] 0 0 0 3 0 0 0 0 0 0 0 0 2 0 0 2 0 5 0 3 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1297] 0 0 0 0 1 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 6 0 0 0 0
## [1333] 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
## [1369] 0 0 0 2 0 0 0 2 0 0 0 0 0 1 1 0 0 2 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 4 0
## [1405] 0 2 0 0 1 0 0 0 0 0 0 0 0 5 2 0 0 0 4 1 0 0 0 0 2 0 0 3 0 0 2 5 2 0 0 5
## [1441] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 2 0 0 0 0 0 2 4 0 0 0 0 1 0
## [1477] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1513] 2 0 1 0 0 0 2 0 0 2 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1549] 0 0 0 0 0 0 0 0 1 3 0 6 0 0 0 0 4 0 0 0 0 0 0 0 0 0 1 0 5 0 0 0 0 0 0 0
## [1585] 0 0 0 0 0 7 0 2 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0
## [1621] 0 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 3 2 5 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
## [1657] 0 4 0 0 2 1 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0
## [1693] 0 0 0 0 0 0 2 0 0 1 0 0 0 0 7 0 0 0 0 0 0 0 1 0 1 0 0 0 0 7 0 4 0 0 0 1
## [1729] 0 0 0 3 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 3 0 0
## [1765] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [1801] 7 0 0 0 5 0 0 0 0 0 0 0 4 0 0 3 0 7 6 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0
## [1837] 0 0 0 0 0 4 0 0 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 3 0 0 0 0 0 0 6 1
## [1873] 0 0 0 0 0 0 5 0 0 0 0 0 2 1 0 0 0 0 0 7 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0
## [1909] 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 5 4 0 0 0 0 3 0 3 0 0 0 0 0 4 0 0 0 0 2
## [1945] 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1981] 2 0 0 0 0 1 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 6 0 1 0 0 0 3
## [2017] 0 0 0 0 1 0 0 0 0 0 0 0 6 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0
## [2053] 0 0 0 0 0 0 0 0 0 0 0 5 3 0 0 0 4 8 0 0 0 0 0 3 0 0 0 1 0 0 2 0 8 1 0 0
## [2089] 0 0 0 0 2 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2125] 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 3 0 0 0 0 0 0 1 0 2 2 0
## [2161] 0 0 0 4 0 0 0 1 0 4 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 6 0 0 2 0 1 4 1 0 1 0
## [2197] 3 3 0 0 0 0 0 0 0 2 0 1 3 1 0 0 3 0 0 1 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 0
## [2233] 0 0 5 0 0 0 0 5 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2269] 0 1 0 0 1 6 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 3 0 0 0 5 0 0
## [2305] 0 0 0 0 0 0 0 0 5 0 1 0 0 0 0 4 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
## [2341] 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0
## [2377] 0 1 0 0 0 0 3 0 0 0 5 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 5 0 0 0 0 0 0 0 0 0
## [2413] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0
## [2449] 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 0 2 0 2 0 0 0 0 0 3 0 0 0 0 0 0 1 0 1
## [2485] 0 0 5 0 0 0 1 2 1 0 0 0 5 0 0 3 0 0 5 4 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0
## [2521] 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 6 2 0 0 6 0 0 0 0
## [2557] 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 5 0 0 0 0 0
## [2593] 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 3 0 0 0
## [2629] 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 7 6 0 0 0 0 0 0 2
## [2665] 0 1 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
## [2701] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 5 0 0 0 0
## [2737] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 7 0 0 2 0 0 0 0 0 0 2 0 0 0 3 0
## [2773] 0 0 0 0 0 0 0 1 0 0 0 0 1 0 5 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 3 0 3
## [2809] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2845] 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2881] 0 0 0 0 0 0 0 0 1 0 1 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 3
## [2917] 0 0 1 0 0 0 0 0 0 5 5 0 0 0 0 0 0 8 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0
## [2953] 1 0 0 0 2 0 0 6 0 0 0 0 0 0 2 0 0 4 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2989] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7 0 2 0 0 0 0 0 0 0 0 6 0 2 0
## [3025] 5 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0
## [3061] 0 0 4 0 0 0 0 0 3 0 0 0 5 2 6 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [3097] 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 1 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0
## [3133] 0 8 0 0 0 0 0 0 3 0 0 0 1 0 2 0 0 0 0 0 1 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0
## [3169] 8 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [3205] 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 6 0 0 0 0 0 0
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## [98353] 4 1 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 4 0 0 0 0 1 1 0 0 0 0 0 3
## [98389] 2 0 3 2 0 0 1 1 0 0 0 0 0 0 2 1 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 6 0 0 0 1
## [98425] 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 2 0 2 0 0
## [98461] 3 2 0 0 0 0 3 0 0 4 0 0 0 0 0 0 1 5 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0
## [98497] 0 4 0 0 0 0 0 0 2 0 0 0 7 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
## [98533] 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 2 0 2 0 0 3 5 5 0 0
## [98569] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0 0
## [98605] 1 0 0 1 0 0 0 0 0 4 4 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98641] 1 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
## [98677] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7 0 0 0 0 0 0
## [98713] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 3 0 0 0 0 0 0 0 5 0 0 0
## [98749] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 3 0 0 0 0 0 0 0 0 0 4 0 0 3 0 0 1
## [98785] 2 0 0 0 1 0 0 0 0 0 0 1 0 0 0 5 0 0 3 0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 1 3
## [98821] 3 0 0 0 0 0 0 4 0 0 0 0 6 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 1 0 2 0 0 0 1 0
## [98857] 0 0 5 0 0 0 0 0 0 4 1 0 0 0 0 0 5 4 0 0 4 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0
## [98893] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0
## [98929] 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 3 2 2 2 0 0 0 1 0 1 0 0 0 0
## [98965] 0 0 0 1 0 0 0 1 0 0 0 4 0 3 0 0 0 0 0 1 0 0 1 0 0 0 1 0 3 4 0 2 0 1 0 0
## [99001] 2 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 1 4 0
## [99037] 2 2 0 2 0 3 1 0 0 0 0 0 3 8 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## [99073] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0
## [99109] 0 0 0 2 0 0 0 0 0 0 1 0 6 1 0 0 3 0 0 2 0 0 4 0 2 3 0 0 0 0 0 0 0 5 0 0
## [99145] 0 0 0 2 0 0 0 0 4 0 6 0 2 4 1 1 0 0 0 0 0 0 0 0 0 0 5 0 0 3 0 0 0 0 0 2
## [99181] 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 7 0 5 1 0 0 5 0 0 0 0 0 0 0
## [99217] 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 4 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 4 0
## [99253] 0 0 0 0 0 0 5 3 0 0 0 6 5 0 2 1 0 0 0 0 0 0 1 0 0 0 0 1 1 2 0 0 0 0 0 0
## [99289] 0 2 0 0 1 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 7 0 0
## [99325] 0 0 1 0 0 0 1 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99361] 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 3 3
## [99397] 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99433] 0 0 0 0 3 3 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0
## [99469] 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 1 0 0 0 0 0
## [99505] 0 0 0 0 1 0 0 3 0 0 1 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 7 0 0
## [99541] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 3 0 0 0 0 0 0 3 2 0 0
## [99577] 0 0 0 0 4 0 0 0 7 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 2 0 0 0 0 0 0 1 1 0
## [99613] 0 0 0 0 0 0 0 0 1 0 5 0 0 0 6 2 0 0 0 0 0 0 2 3 0 0 0 0 0 0 3 0 0 1 0 0
## [99649] 0 1 0 0 0 4 0 0 0 0 0 0 4 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 1 0 5 0 0 0
## [99685] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
## [99721] 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 3 0 0 0 0 3 0 0 0
## [99757] 0 0 0 0 0 0 2 0 4 2 2 0 4 0 0 3 0 0 6 0 0 0 1 0 0 0 0 1 5 1 1 1 0 4 4 3
## [99793] 0 2 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 0 0 1 0 0 1 0 2 0 0 5 0 0 0 7 0 0 4
## [99829] 0 0 0 0 0 0 2 4 0 4 0 0 0 0 0 0 0 0 1 2 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3
## [99865] 0 0 0 0 0 0 4 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0
## [99901] 4 1 0 4 0 0 0 0 0 0 0 0 0 2 0 4 0 0 0 0 0 0 2 5 5 0 1 1 0 0 0 0 1 0 0 0
## [99937] 0 3 0 0 2 0 2 0 0 0 0 3 0 1 0 1 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 3 0
## [99973] 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 0 3 1 0 0 0 3
## [ reached getOption("max.print") -- omitted 5217 entries ]table(violec_especif21$viol21_fis_total)##
## 0 1 2 3 4 5 6 7 8 9
## 87201 6286 3834 2732 1994 1515 895 466 217 76hist(violec_especif21$viol21_fis_total)
violec_especif21$viol21_fis_disc = factor(violec_especif21$viol21_fis_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"))
table(violec_especif21$viol_fis_disc)## < table of extent 0 ># violencia21 psicica
violec_especif21$viol21_psi_total =
(violec_especif21$violencia21_psicologica1+
violec_especif21$violencia21_psicologica2+
violec_especif21$violencia21_psicologica3+
violec_especif21$violencia21_psicologica4+
violec_especif21$violencia21_psicologica5+
violec_especif21$violencia21_psicologica6+
violec_especif21$violencia21_psicologica7+
violec_especif21$violencia21_psicologica8+
violec_especif21$violencia21_psicologica9+
violec_especif21$violencia21_psicologica10+
violec_especif21$violencia21_psicologica11+
violec_especif21$violencia21_psicologica12+
violec_especif21$violencia21_psicologica13+
violec_especif21$violencia21_psicologica14+
violec_especif21$violencia21_psicologica15+
violec_especif21$violencia21_psicologica16)
violec_especif21$viol21_psi_total## [1] 1 4 0 NA 5 4 0 0 7 0 NA NA 13 1 0 3 0 0 0 2 NA 2 NA 1
## [25] 0 1 NA 0 0 NA NA 0 1 0 4 NA NA NA NA 0 NA NA 11 0 0 8 1 NA
## [49] NA NA 0 2 5 0 2 0 0 0 NA 2 2 12 0 0 6 0 0 0 0 0 0 6
## [73] 9 1 1 0 0 2 0 0 0 1 1 1 0 0 5 0 NA NA 3 0 NA 0 NA 3
## [97] 10 0 0 0 0 NA 0 0 0 0 NA NA 0 0 NA 1 0 1 8 7 0 NA NA 2
## [121] NA NA 0 NA 0 2 NA 0 0 8 0 NA NA NA 0 0 0 6 4 4 4 2 2 2
## [145] 3 2 NA NA NA 0 NA 2 0 0 0 0 0 3 0 1 5 NA 1 0 1 2 0 0
## [169] 1 NA 0 10 0 0 NA 3 0 1 0 5 1 0 0 0 0 2 0 0 0 1 0 4
## [193] 0 6 0 1 5 NA 0 0 7 1 3 5 0 NA 2 5 0 0 3 0 0 0 NA 0
## [217] NA 0 8 4 0 0 1 7 NA NA 3 0 2 4 0 0 1 NA 2 0 1 2 0 0
## [241] 1 0 0 0 1 0 1 0 NA 0 4 0 7 0 0 0 1 NA NA NA 0 NA NA 0
## [265] 0 0 2 0 2 NA 0 NA 0 NA 0 9 0 0 7 0 NA 11 NA 0 7 NA NA 0
## [289] NA 0 6 0 0 NA 0 NA 0 0 1 0 5 2 NA NA 1 0 1 0 1 7 0 NA
## [313] 0 0 0 1 NA NA 1 0 0 0 3 0 0 0 5 0 5 0 0 10 0 3 1 0
## [337] 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 NA 0 1 0 NA 3 0 0 0
## [361] 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 8 0 1 0 1 1 0 NA NA 0
## [385] 0 NA 2 7 0 NA 0 1 10 NA 0 NA 1 4 0 NA 2 5 2 0 0 5 0 2
## [409] 1 4 1 NA NA 1 0 0 0 0 0 0 0 0 13 0 0 NA 0 0 2 0 0 9
## [433] 11 0 1 0 0 0 0 NA 1 NA 2 2 0 NA 7 0 2 0 0 0 0 NA 0 0
## [457] 0 0 NA 0 0 NA 1 0 2 0 4 0 2 10 1 0 0 NA 1 0 0 1 NA 1
## [481] 0 NA NA 1 NA 12 NA NA 0 0 0 NA 12 1 NA 0 1 0 0 0 0 10 10 0
## [505] 2 0 0 0 5 NA NA 0 0 NA 2 1 9 1 0 1 7 1 1 0 2 2 NA NA
## [529] 0 3 0 NA NA 3 1 3 1 6 8 1 0 0 1 NA NA 4 5 NA NA 0 0 4
## [553] 4 NA 0 1 2 0 0 0 0 NA NA 0 0 0 0 NA 0 12 NA 0 NA 3 6 5
## [577] 5 0 0 0 NA 0 0 8 5 5 0 2 0 5 0 0 1 0 NA 2 0 0 0 0
## [601] 0 NA 0 0 NA 0 0 NA 5 NA 0 1 NA 0 0 0 0 1 NA 1 2 NA 0 0
## [625] 10 0 NA 1 2 0 NA 0 NA 0 0 0 0 3 0 6 0 0 0 0 0 0 6 0
## [649] 2 0 0 NA 0 NA 0 0 0 NA 11 3 3 0 0 0 0 0 0 0 0 0 0 0
## [673] 1 0 0 0 0 0 2 NA 0 0 NA 8 0 2 1 0 NA 1 0 1 NA 0 0 NA
## [697] 1 0 6 NA 0 3 2 0 1 0 1 0 5 0 1 4 0 0 NA 3 6 0 0 1
## [721] NA 10 0 0 0 0 0 0 NA 0 2 7 0 1 6 0 12 0 0 0 NA 0 3 5
## [745] NA 0 3 5 NA 5 0 0 3 5 0 11 NA 1 0 0 0 0 0 1 0 0 NA NA
## [769] NA 0 0 0 0 0 1 7 0 2 0 0 0 NA 4 1 0 1 0 0 NA NA 1 NA
## [793] 2 0 5 6 NA 5 0 1 0 0 1 0 0 7 7 1 1 NA 8 7 3 NA NA 0
## [817] 9 6 NA 0 0 NA 1 0 1 7 0 7 0 NA NA NA 1 4 1 0 4 0 0 0
## [841] NA 0 0 0 7 0 0 0 10 NA NA 3 7 NA 2 2 1 0 0 NA 3 0 0 1
## [865] 0 NA 0 0 NA NA 0 0 1 NA 0 1 0 0 2 NA 0 0 0 9 0 0 0 0
## [889] NA NA 1 NA NA 0 0 0 3 0 0 0 3 4 2 2 NA 0 1 0 NA 0 0 7
## [913] NA 0 NA 0 0 NA 7 0 0 0 0 0 0 0 0 NA 0 1 NA 0 1 NA NA 13
## [937] 0 1 0 5 0 1 0 NA 0 2 0 1 0 NA 0 1 16 1 NA 0 9 NA 0 1
## [961] NA 10 NA 4 4 0 NA 5 0 5 0 NA 1 NA 4 NA 2 5 0 NA 0 3 0 2
## [985] 0 NA 0 0 0 11 1 1 NA 3 1 3 1 2 2 NA 0 0 1 0 13 0 0 2
## [1009] 0 NA 0 1 0 0 5 0 0 NA 2 0 NA 2 1 0 0 0 4 0 0 0 8 NA
## [1033] 0 NA 2 0 0 0 11 0 NA 0 8 0 NA NA 0 NA 4 0 0 3 1 4 NA 1
## [1057] 6 1 0 0 1 6 0 1 0 1 0 0 0 3 0 0 6 6 0 6 0 4 9 0
## [1081] 0 4 2 0 9 1 NA 1 2 0 0 2 9 5 0 11 0 0 0 10 0 0 11 0
## [1105] NA 3 0 0 0 0 0 1 0 0 0 0 NA NA 0 NA 0 0 0 NA 0 0 0 7
## [1129] 3 4 0 0 0 0 3 NA 0 NA 0 1 0 0 NA 2 13 1 2 6 0 0 NA 0
## [1153] 0 NA 0 2 4 8 5 0 13 0 2 0 3 0 3 0 0 10 0 0 NA 2 0 12
## [1177] 0 NA 0 0 0 6 NA 0 NA 0 1 6 0 NA 0 2 0 1 1 0 NA 0 1 NA
## [1201] 0 0 0 0 3 2 4 0 NA 0 3 0 0 0 NA 1 3 5 7 0 NA 0 NA 0
## [1225] NA 0 0 0 0 0 1 0 0 0 2 3 0 5 10 0 NA 0 0 0 0 NA 0 2
## [1249] NA 8 1 NA NA 0 0 0 0 4 0 0 NA 1 NA 3 1 6 NA NA 0 0 NA 7
## [1273] 13 1 0 NA 1 9 NA 8 NA 5 4 1 NA 2 NA 0 0 6 9 0 0 NA 0 1
## [1297] NA 0 0 0 1 NA NA NA 0 0 2 NA NA 11 NA 0 0 0 0 0 NA 3 0 0
## [1321] 0 3 NA 0 0 1 3 9 0 3 NA NA 0 0 2 0 1 0 0 0 4 0 NA NA
## [1345] 0 0 0 0 3 0 NA NA 0 3 1 1 4 1 0 2 NA 1 NA NA NA 2 0 NA
## [1369] 3 1 0 1 0 0 0 6 NA 0 0 NA NA 0 5 1 0 2 1 0 0 6 NA 1
## [1393] 0 7 6 2 5 0 1 6 3 0 9 NA 0 3 0 0 5 NA NA NA 0 0 0 0
## [1417] 0 5 NA 0 1 0 12 3 0 2 0 0 9 1 NA 1 0 7 2 15 8 0 2 10
## [1441] 0 0 0 2 0 0 1 3 NA NA NA NA 0 0 2 NA NA 0 2 0 0 0 10 0
## [1465] 0 1 NA 0 7 7 0 NA 0 NA 6 4 1 0 1 NA 7 NA 1 0 4 6 0 0
## [1489] 1 0 3 0 0 5 0 NA 1 0 0 0 0 0 0 0 2 NA 0 3 0 0 0 NA
## [1513] 5 2 2 NA 0 0 NA 0 1 11 0 0 0 NA 3 0 7 NA 0 6 0 0 0 0
## [1537] NA 0 0 NA 0 0 NA 1 1 0 0 0 0 NA 0 1 3 NA 0 1 2 13 0 11
## [1561] 0 0 0 1 9 0 1 0 0 3 NA 0 0 0 1 0 13 NA 0 1 0 0 NA 0
## [1585] 1 0 5 0 0 7 0 10 0 0 NA 2 2 NA 0 12 0 0 0 0 0 0 11 1
## [1609] 0 NA 10 2 0 4 NA 0 NA 0 0 0 0 NA 0 1 5 0 0 3 3 1 8 NA
## [1633] 9 0 0 0 5 2 5 0 0 7 0 0 NA 0 2 NA 0 0 NA 0 0 1 1 NA
## [1657] 7 11 0 0 0 0 1 6 0 0 NA 3 0 NA 1 2 0 9 1 NA 0 3 NA 3
## [1681] 0 0 NA 1 0 0 0 4 0 0 0 NA 3 4 0 0 2 0 4 NA 0 1 0 0
## [1705] NA 0 13 NA 0 0 0 0 0 0 2 4 7 NA 0 0 0 13 NA 9 0 NA NA NA
## [1729] 0 NA 0 2 NA 7 4 NA 5 NA 0 1 1 0 0 0 NA 0 0 0 0 9 0 3
## [1753] NA 0 0 5 NA 0 5 0 0 4 5 0 0 1 0 NA 0 0 1 0 0 NA 0 0
## [1777] 0 2 0 2 0 NA 1 0 0 0 NA 7 NA 0 NA 5 3 0 0 6 0 0 1 2
## [1801] 9 0 0 0 10 0 NA 0 0 0 NA 3 2 NA 1 9 NA 10 10 0 NA 0 0 0
## [1825] 12 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 0 0 6
## [1849] 0 5 3 2 0 NA 0 6 0 1 NA 6 NA 0 9 6 0 1 1 0 10 0 10 1
## [1873] NA 0 0 0 0 0 6 0 0 0 1 0 3 0 0 0 8 4 0 12 0 NA 0 0
## [1897] 4 0 0 4 9 1 2 0 0 0 0 1 0 0 0 NA 0 11 NA 0 0 0 0 0
## [1921] NA 0 0 NA 12 9 0 NA 0 2 NA 0 1 1 NA 0 0 NA 5 0 0 0 0 6
## [1945] NA 0 0 0 0 2 0 0 NA 0 0 0 0 16 1 0 0 8 0 12 6 7 0 0
## [1969] 4 1 1 NA 0 2 0 1 1 1 0 NA NA 8 NA NA 0 9 1 0 1 10 NA NA
## [1993] 0 NA 0 1 0 5 NA 0 4 2 0 1 3 NA NA 0 NA 13 NA 2 NA 0 7 11
## [2017] 0 2 NA NA 2 0 0 6 NA 6 3 0 12 NA 7 NA 1 1 1 11 15 1 NA 0
## [2041] NA 3 0 0 0 0 NA 0 NA 5 2 1 0 3 0 0 0 3 1 NA 0 NA 0 5
## [2065] 9 1 0 NA 6 10 0 0 0 0 0 NA 0 0 1 5 0 0 10 0 12 1 0 0
## [2089] 0 0 0 0 3 0 NA NA 0 NA 0 NA 9 0 0 0 1 0 0 0 1 0 4 0
## [2113] 0 0 NA 7 0 0 0 0 NA NA 0 NA NA 0 0 0 NA 4 0 NA 13 0 0 1
## [2137] 0 0 NA 4 0 0 1 0 NA 6 11 8 8 0 0 0 0 0 1 6 NA 1 3 0
## [2161] 0 NA 0 6 0 NA 0 4 NA 13 0 0 NA 5 0 5 0 2 0 0 0 2 3 NA
## [2185] 0 11 4 NA 11 7 4 8 0 0 1 NA 10 5 0 0 0 0 NA 3 3 7 NA NA
## [2209] 8 13 0 0 4 4 NA 1 3 0 0 1 0 NA NA 5 NA NA 0 NA 0 0 1 1
## [2233] NA 0 9 0 0 1 0 8 0 9 0 1 0 5 7 0 0 0 0 0 0 3 0 0
## [2257] 0 2 0 3 0 0 0 0 0 NA 2 0 1 7 0 0 12 10 4 7 0 10 0 0
## [2281] 0 0 0 0 0 NA NA 0 0 0 NA 0 0 4 0 1 1 4 0 0 0 8 0 0
## [2305] 0 0 4 0 0 NA 0 3 7 0 5 0 NA 0 NA 5 NA NA 0 8 1 0 NA 0
## [2329] 0 0 0 0 0 0 0 2 7 0 1 5 0 0 NA 0 0 3 5 NA 0 NA 3 NA
## [2353] 0 7 0 1 4 0 NA 0 2 NA NA 8 0 0 5 0 0 11 NA 0 0 NA 0 0
## [2377] 0 NA 8 3 NA 0 5 0 0 0 3 0 0 1 0 0 0 3 0 6 0 NA 0 1
## [2401] 10 0 6 0 1 NA 7 2 0 0 0 0 11 0 0 0 NA NA NA 0 0 1 0 NA
## [2425] 0 0 0 0 0 0 NA 0 4 1 0 0 0 0 2 0 0 NA NA 9 0 0 0 NA
## [2449] 0 NA 0 0 0 0 0 5 0 0 0 0 2 1 0 10 0 0 7 0 5 0 3 0
## [2473] 0 NA 5 NA 0 2 0 0 3 10 0 12 0 5 7 0 0 0 4 3 1 NA 0 2
## [2497] 13 0 0 2 0 0 NA 5 0 NA 0 0 1 NA 0 0 0 8 0 0 NA 0 0 0
## [2521] 1 0 3 0 0 3 NA 0 NA 9 0 0 1 NA NA NA 0 2 5 NA 0 0 0 0
## [2545] 8 NA 2 7 11 NA 0 11 2 0 0 1 0 NA 0 3 NA NA 4 1 0 0 1 0
## [2569] NA 0 0 0 NA 0 0 0 0 NA 10 0 0 0 0 0 1 NA 5 NA 0 0 0 0
## [2593] 0 0 1 0 0 1 9 1 NA 0 0 0 3 NA 0 1 0 1 1 5 0 0 0 0
## [2617] 11 0 0 0 0 0 0 0 2 1 0 0 7 3 NA 0 0 0 2 6 0 0 5 0
## [2641] 0 0 0 0 0 1 7 NA 1 0 0 0 0 0 7 8 12 NA 0 0 0 1 0 3
## [2665] 0 2 0 3 NA 0 0 0 2 0 0 0 1 0 1 0 0 0 0 0 3 0 0 0
## [2689] 0 0 0 0 0 3 2 6 NA 4 NA 0 3 NA 0 0 0 0 0 0 0 0 1 0
## [2713] 1 0 0 0 0 6 NA 0 1 0 0 NA 0 NA 5 NA 0 0 NA NA 0 0 NA 5
## [2737] 0 0 0 2 0 NA 0 0 0 0 0 0 0 0 0 0 NA 14 0 0 6 0 0 NA
## [2761] 0 NA 2 0 1 0 3 NA 0 0 5 2 0 0 0 0 NA 3 0 10 0 NA 0 0
## [2785] 5 0 7 0 4 0 3 0 0 2 0 2 0 0 NA 2 0 0 0 0 0 0 NA 5
## [2809] 0 0 0 NA 0 0 0 1 0 NA 0 0 NA 0 0 NA 6 1 6 0 NA 1 10 NA
## [2833] 1 0 0 1 0 0 0 0 1 0 0 1 0 0 0 3 0 0 1 0 0 1 0 0
## [2857] 2 0 1 0 0 NA 4 0 0 0 0 0 0 6 0 NA NA 0 2 0 0 NA 2 0
## [2881] 1 0 0 0 4 0 2 1 1 0 2 1 NA 4 0 0 0 2 0 0 0 6 5 0
## [2905] 0 NA 2 0 0 0 0 5 0 0 0 7 1 1 1 0 0 0 0 5 0 7 6 0
## [2929] 2 0 0 0 0 NA 0 3 1 0 0 NA NA NA 2 0 1 NA 5 0 5 0 0 0
## [2953] 3 NA 8 NA NA 0 0 13 0 0 0 0 0 0 3 0 0 6 1 0 1 7 0 0
## [2977] 0 0 0 0 0 NA 0 5 0 0 0 0 3 NA 4 0 0 0 0 0 0 0 0 0
## [3001] 0 2 6 0 11 0 0 0 10 10 NA 0 NA 0 0 1 0 0 0 0 8 0 7 NA
## [3025] 14 0 4 0 NA 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 5
## [3049] 0 0 NA 2 NA 3 10 0 0 0 1 0 0 0 4 1 2 0 0 0 9 0 NA 0
## [3073] 9 3 12 0 0 NA 0 NA 0 1 0 0 1 0 0 0 NA 0 NA NA NA NA NA 0
## [3097] NA 1 0 0 0 NA 0 0 0 NA 0 0 0 0 0 0 0 0 0 3 3 NA 0 0
## [3121] 2 2 0 0 0 0 0 0 3 0 0 0 0 12 0 1 0 0 0 0 0 5 0 0
## [3145] 0 1 3 0 0 0 0 0 7 0 11 0 0 0 0 0 1 0 0 0 0 0 0 0
## [3169] 10 NA 1 0 0 1 3 NA 0 0 1 NA NA 0 0 0 0 0 0 3 0 0 0 0
## [3193] 0 NA 0 0 0 3 1 NA 1 1 NA 0 0 14 0 1 0 0 0 2 0 0 3 1
## [3217] 0 0 0 0 0 NA 0 0 NA 1 0 0 0 0 0 0 0 10 0 0 0 1 0 0
## [3241] 0 0 1 0 0 0 0 0 0 0 0 1 5 2 0 0 NA NA 3 0 4 0 9 0
## [3265] 0 4 NA 0 1 4 0 0 0 0 3 0 4 0 1 6 0 0 0 0 0 0 0 0
## [3289] 0 2 NA 2 0 0 0 NA 2 0 2 0 0 2 NA 0 1 NA 0 0 0 2 0 NA
## [3313] 0 NA 1 0 0 1 NA 1 4 0 0 0 0 0 4 0 0 0 7 0 0 0 0 0
## [3337] 1 1 0 0 0 NA NA 0 0 0 0 0 5 0 0 NA 0 NA 0 NA 0 0 0 1
## [3361] 0 0 0 0 2 NA NA NA 0 8 NA NA NA 0 0 0 0 0 0 0 NA 0 0 0
## [3385] 0 0 0 NA 0 0 0 0 1 NA NA 0 0 0 0 0 0 0 1 0 0 0 0 2
## [3409] 0 0 0 0 2 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 0 NA 1 0 0
## [3433] 0 2 0 0 0 0 0 NA 0 0 NA 0 NA 0 NA 0 0 0 0 0 NA 0 0 0
## [3457] 1 0 NA 15 0 9 0 0 0 0 1 0 0 NA 1 NA 0 7 2 NA 0 0 0 1
## [3481] 5 0 0 0 NA 0 NA 0 0 0 0 0 0 0 0 0 0 NA 9 4 0 0 0 NA
## [3505] 1 0 1 0 0 0 0 NA NA 0 0 0 0 1 0 0 0 0 0 0 0 0 7 0
## [3529] 0 0 NA NA NA 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 1 0 NA
## [3553] 0 1 0 2 1 0 0 1 0 0 4 1 NA 0 0 0 0 NA 0 NA 0 0 NA 0
## [3577] 0 0 1 0 1 0 0 0 0 0 0 0 0 0 6 0 0 1 0 0 1 1 1 7
## [3601] 0 0 0 0 0 1 1 0 0 0 0 1 0 2 0 2 0 NA 4 0 0 9 3 0
## [3625] 0 NA 0 0 1 0 0 0 0 1 2 9 0 NA 0 0 0 7 0 0 0 0 0 0
## [3649] 15 NA 0 0 3 NA NA 0 0 4 0 NA 0 NA 0 2 0 13 4 0 0 1 0 NA
## [3673] 0 8 NA 1 NA 0 0 0 0 0 NA 0 0 0 NA 1 0 0 NA NA 12 0 0 0
## [3697] 7 1 0 1 2 1 0 0 0 0 1 2 13 0 2 3 5 1 0 0 NA 0 1 2
## [3721] 1 0 0 0 15 0 NA 0 0 2 13 NA 0 0 0 3 0 NA 9 0 5 3 NA NA
## [3745] 0 0 0 0 NA 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [3769] 4 9 8 0 NA 1 0 0 0 0 0 NA 7 0 0 0 0 0 0 0 0 NA 0 0
## [3793] 0 0 0 5 1 4 0 0 0 0 NA 0 0 0 3 0 2 NA 0 0 0 0 0 0
## [3817] NA 0 6 3 1 0 16 0 0 0 2 1 3 NA 0 0 0 0 0 6 0 NA 0 0
## [3841] NA 0 NA NA 1 0 0 0 0 NA 0 0 2 NA NA 0 0 0 0 0 0 0 6 2
## [3865] NA 1 5 NA 0 1 0 1 NA NA NA NA NA 0 0 0 0 1 16 0 6 NA 0 0
## [3889] NA 0 0 1 2 2 6 0 3 0 9 0 0 NA 0 NA 0 0 1 0 NA 0 1 0
## [3913] 0 1 0 0 1 3 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 NA NA
## [3937] 0 0 0 0 NA NA 0 0 NA NA 1 4 0 0 0 0 0 0 0 0 0 NA 0 NA
## [3961] 1 0 0 2 0 0 NA 0 7 9 0 0 0 0 NA 0 0 0 0 0 0 0 4 NA
## [3985] NA 0 0 3 0 0 NA NA NA NA 0 0 3 3 0 NA 0 4 8 0 0 2 10 4
## [4009] NA 0 1 0 1 0 0 0 0 1 0 0 0 NA NA 0 0 0 5 4 0 0 0 0
## [4033] 0 0 1 0 0 0 0 NA NA 0 NA 0 0 0 0 0 0 0 NA 0 1 0 0 0
## [4057] 1 NA 0 0 0 0 0 NA NA 0 NA 0 0 NA 0 0 0 NA 0 0 1 0 0 0
## [4081] 0 1 0 9 NA 3 0 NA NA 0 0 NA NA 0 0 NA 0 12 0 0 2 3 0 0
## [4105] 0 0 9 0 1 0 1 1 3 0 0 1 0 0 0 0 4 NA 0 0 0 0 NA 0
## [4129] 0 0 0 0 0 0 0 0 NA 0 0 NA 0 2 0 0 0 0 0 NA 6 1 0 0
## [4153] NA 0 0 0 2 0 0 1 0 4 0 NA 3 0 0 0 1 0 NA 0 0 0 10 0
## [4177] NA 5 0 0 0 0 0 NA 0 2 0 0 0 0 0 0 NA 0 0 0 0 0 0 NA
## [4201] NA NA 0 2 1 0 16 0 NA 3 1 NA 0 0 0 7 NA NA 0 0 2 0 0 0
## [4225] NA 1 0 0 NA 0 0 0 2 0 0 4 0 0 0 2 5 0 1 0 0 0 1 2
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## [98305] 1 0 0 0 0 0 0 NA 0 2 0 0 0 1 10 0 NA NA 4 0 NA 0 10 7
## [98329] 0 2 6 0 0 2 0 0 0 3 0 0 0 0 0 0 3 1 1 NA 1 0 1 0
## [98353] 9 4 0 NA 1 4 3 3 0 0 0 1 0 0 2 3 0 0 0 3 0 9 0 4
## [98377] 1 NA 4 0 8 7 0 0 0 0 2 9 7 0 3 7 0 0 1 2 0 1 5 0
## [98401] 6 0 NA 4 2 4 0 0 0 0 0 2 4 NA NA 0 0 0 0 14 0 0 0 2
## [98425] 0 0 0 0 NA 1 0 0 0 9 1 0 2 0 0 0 0 2 0 0 0 NA 0 0
## [98449] 0 7 0 2 0 0 4 4 3 3 1 1 10 8 NA 0 4 1 7 3 1 9 NA 2
## [98473] NA 3 0 0 4 7 1 NA 0 0 2 0 0 0 0 1 0 0 0 0 0 0 2 0
## [98497] 0 5 0 0 0 NA 2 0 1 NA 1 1 14 8 0 0 0 0 0 NA 0 NA 0 5
## [98521] 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 NA NA NA 0 0 0 0 0 0 0
## [98545] NA 5 0 1 0 0 0 0 0 0 0 1 0 0 1 1 4 NA 1 1 2 5 0 0
## [98569] 0 0 0 NA 3 0 0 2 2 1 2 2 2 2 5 0 6 0 0 0 0 NA 0 0
## [98593] 0 0 0 0 0 0 0 1 4 4 0 0 0 1 NA 2 0 0 0 0 1 11 13 0
## [98617] 1 3 0 0 12 0 2 0 0 0 0 0 0 0 0 0 NA NA 0 0 4 0 0 0
## [98641] 3 NA 2 1 0 0 0 NA 0 8 0 NA 0 0 0 0 0 0 0 0 NA 0 NA 0
## [98665] 0 2 0 0 0 0 0 0 3 4 0 3 NA NA NA NA NA NA 0 NA NA 0 0 0
## [98689] 1 0 7 0 6 0 0 1 0 0 0 2 9 0 0 0 0 12 0 0 0 0 0 0
## [98713] 0 1 0 NA 0 0 0 0 0 0 4 0 0 0 0 0 NA 3 0 0 0 6 0 0
## [98737] 3 0 0 NA 3 2 1 0 11 3 0 0 0 0 9 3 5 1 0 1 3 2 2 0
## [98761] 3 1 3 1 1 1 1 8 0 0 0 0 0 1 0 NA 0 11 0 0 6 1 0 2
## [98785] 2 0 0 2 0 NA NA NA 0 0 0 5 0 1 2 10 1 1 1 0 0 NA 0 0
## [98809] 0 0 7 1 2 0 NA 1 1 0 6 8 13 0 1 0 0 0 1 7 0 3 0 0
## [98833] 11 0 0 1 1 0 5 0 NA 9 1 0 0 NA 0 0 1 NA 2 0 0 NA 0 0
## [98857] 0 NA 13 1 0 NA 0 7 0 11 3 0 0 NA 0 0 7 4 NA 2 5 NA 1 0
## [98881] 4 0 0 1 3 2 0 0 NA NA 0 1 0 0 0 0 1 NA 5 2 1 1 0 0
## [98905] NA 0 0 4 0 NA 0 0 2 7 3 0 0 NA 0 0 0 0 6 6 NA 1 0 0
## [98929] NA 1 0 0 1 1 0 NA 4 0 0 0 1 0 0 3 0 0 0 NA 5 1 0 12
## [98953] 6 4 0 0 0 10 0 2 NA 0 0 2 0 0 1 10 NA 2 NA 0 0 3 0 5
## [98977] 0 1 1 0 2 0 0 1 0 NA 3 2 NA 0 8 0 6 4 0 9 0 2 2 0
## [99001] 4 2 0 0 0 0 0 NA 8 0 0 0 5 NA 1 0 7 1 9 3 0 0 0 1
## [99025] 0 0 0 0 4 0 2 0 0 3 NA 1 4 5 0 0 0 12 0 1 1 0 NA 0
## [99049] 8 13 0 1 0 NA NA NA NA 0 0 0 1 2 NA 2 1 0 5 0 0 0 0 0
## [99073] 0 NA NA NA 0 0 0 0 5 11 3 NA 0 4 NA 0 0 0 0 NA 0 0 0 5
## [99097] 5 0 NA 0 NA NA 1 1 0 0 0 0 NA 0 0 5 5 NA 0 0 0 2 4 0
## [99121] 6 0 NA 0 6 0 0 2 6 NA 11 0 1 8 NA NA 0 NA 0 0 0 11 3 0
## [99145] 0 2 1 2 0 1 3 0 15 0 8 2 3 9 2 4 2 NA 0 3 0 NA 0 2
## [99169] 0 2 7 0 0 4 0 0 1 1 2 3 0 5 12 0 3 5 2 3 6 0 1 1
## [99193] 5 4 NA 0 0 0 NA 0 NA 10 13 2 9 2 0 5 8 0 1 0 0 0 0 0
## [99217] 3 0 0 3 0 NA 0 0 6 NA 0 NA NA 7 0 0 0 6 0 0 1 11 0 0
## [99241] NA 0 0 0 4 8 0 0 0 NA 1 NA 0 0 NA 0 0 0 5 5 NA 0 5 7
## [99265] 4 NA 4 3 NA 0 0 1 NA 0 3 0 NA 4 1 1 1 6 3 0 0 2 0 NA
## [99289] 1 2 0 0 1 0 0 1 0 1 0 0 0 2 0 NA 4 NA 0 1 0 NA NA 0
## [99313] 0 0 0 0 3 1 0 0 0 12 0 0 1 NA 2 0 1 0 1 0 1 9 0 0
## [99337] 0 0 0 3 0 0 0 0 0 0 0 1 NA 4 0 0 0 0 0 0 NA 0 NA 0
## [99361] 0 2 NA 1 1 NA NA 0 NA NA NA NA 1 1 NA 4 0 3 4 1 NA 0 2 NA
## [99385] 0 8 0 0 0 0 2 1 0 0 13 NA NA 0 0 0 NA 0 0 0 NA NA 0 8
## [99409] NA 1 0 3 0 4 0 3 1 1 0 0 0 1 0 NA 1 0 1 0 0 0 0 0
## [99433] 10 0 0 0 1 15 0 9 0 NA 7 0 9 0 0 NA 0 4 0 0 0 0 0 NA
## [99457] 1 0 5 NA 8 0 2 7 0 0 9 0 0 0 0 0 2 5 NA NA 0 0 1 0
## [99481] 0 NA 0 0 0 0 0 0 0 6 2 0 3 0 0 NA 0 3 4 0 3 0 0 NA
## [99505] 0 0 2 8 4 1 1 8 1 0 8 0 0 1 0 NA 0 0 0 0 NA 0 NA NA
## [99529] 0 0 11 0 0 0 0 0 0 15 0 0 0 NA 0 2 0 0 12 NA 0 0 NA 0
## [99553] 0 0 0 3 2 NA 6 NA 0 0 0 0 0 10 0 0 0 0 NA 0 3 0 0 NA
## [99577] NA 2 0 0 4 0 0 NA 6 0 0 0 0 NA NA 3 0 0 NA 3 3 0 0 3
## [99601] 2 0 8 0 0 NA 0 0 0 4 5 0 2 1 0 0 0 NA NA 0 2 1 13 0
## [99625] 4 0 11 6 0 1 2 1 0 0 6 3 0 0 0 0 0 0 9 0 0 1 1 0
## [99649] 0 1 3 0 1 4 0 5 0 1 0 0 8 2 0 0 NA 0 2 0 1 0 1 0
## [99673] NA 0 NA 0 4 0 6 0 7 NA NA 1 3 0 0 4 1 NA 0 0 0 NA 0 0
## [99697] 6 1 0 1 0 6 5 0 0 2 0 0 0 NA 0 0 0 0 0 0 0 0 NA 0
## [99721] 0 0 1 NA 0 4 4 1 2 1 1 2 NA 10 3 NA NA 0 0 4 5 0 3 0
## [99745] 0 8 1 2 0 0 0 1 NA 2 0 0 0 NA 0 0 0 0 6 0 5 2 3 0
## [99769] 12 2 0 0 NA 5 8 0 3 1 10 3 NA NA 0 6 4 2 2 1 NA 1 8 1
## [99793] 1 9 0 0 0 0 0 0 0 0 0 4 2 0 0 NA 0 NA NA 0 0 0 6 0
## [99817] 0 1 1 NA 5 1 0 NA NA 0 0 11 0 NA 0 0 0 0 2 6 0 7 2 3
## [99841] 0 1 0 0 0 0 1 3 2 0 1 0 0 NA 0 2 0 3 1 NA NA 0 0 3
## [99865] NA 0 1 NA 0 0 5 NA 0 9 0 NA NA NA 1 0 NA 0 2 0 NA NA 0 0
## [99889] 0 0 6 0 0 0 1 0 2 NA NA 0 5 3 0 4 0 0 NA 0 0 NA NA 0
## [99913] 0 1 1 2 NA 0 0 0 1 1 0 12 7 0 5 NA 0 NA 0 0 0 NA 0 NA
## [99937] 0 7 0 0 1 NA 9 0 NA 2 4 2 0 4 2 1 0 0 0 0 0 12 NA 0
## [99961] 0 0 0 1 0 0 0 0 0 0 5 NA 0 0 0 2 5 1 1 0 0 0 8 NA
## [99985] 3 2 4 0 4 7 0 0 NA 6 1 0 0 0 3
## [ reached getOption("max.print") -- omitted 5217 entries ]table(violec_especif21$viol21_psi_total)##
## 0 1 2 3 4 5 6 7 8 9 10 11 12
## 58179 10204 5411 3665 2636 2171 1833 1592 1232 1040 942 671 475
## 13 14 15 16
## 350 168 74 48violec_especif21$viol21_psi_disc = factor(violec_especif21$viol21_psi_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif21$viol21_psi_disc)##
## No Sí
## 58179 32512# violencia21 sexual
violec_especif21$viol21_sex_total =
(violec_especif21$violencia21_sexual1+
violec_especif21$violencia21_sexual2+
violec_especif21$violencia21_sexual3+
violec_especif21$violencia21_sexual4+
violec_especif21$violencia21_sexual5+
violec_especif21$violencia21_sexual6)
table(violec_especif21$violencia21_sexual5)##
## 0 1
## 102459 2757violec_especif21$viol21_sex_total## [1] 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [37] 0 0 2 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 0
## [73] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 0 0 0 0 0 0
## [109] 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [145] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
## [181] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
## [217] 0 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [253] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0
## [289] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0
## [361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 0 0 0
## [397] 0 0 0 0 0 3 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
## [433] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [469] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0
## [505] 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [541] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
## [577] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 6 0 0 0 0
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [649] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [685] 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 0
## [721] 0 4 0 0 0 0 1 0 0 0 0 1 0 0 2 0 6 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 4
## [757] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [793] 0 0 0 3 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0
## [829] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [865] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [901] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## [937] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [973] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0
## [1009] 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 5 0 0 0 0 0 0 0 0 0 0 2 0
## [1045] 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0
## [1081] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1117] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [1153] 0 0 0 0 0 2 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0
## [1189] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
## [1225] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1261] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 2 0 1 0 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0
## [1297] 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0
## [1333] 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
## [1369] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1405] 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1441] 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 3 3 0 0 0 0 0 0
## [1477] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1513] 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1549] 0 0 0 0 0 0 0 0 0 6 0 3 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 1 0
## [1585] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1621] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
## [1657] 1 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1693] 1 2 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 1 0 0 0 0
## [1729] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## [1765] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0
## [1801] 4 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 2 5 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0
## [1837] 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 3 0
## [1873] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0
## [1909] 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## [1945] 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1981] 4 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 1 3
## [2017] 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 2 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2053] 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 3 0 4 0 0 0
## [2089] 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
## [2125] 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 4 0
## [2161] 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 0 1 0 0 0 0
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## [99145] 0 0 0 0 0 0 0 0 5 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0
## [99181] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0
## [99217] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0
## [99253] 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99289] 0 0 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
## [99325] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99361] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0
## [99397] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99433] 3 0 0 0 0 3 0 2 0 0 0 0 5 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 0 0 1 0
## [99469] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
## [99505] 0 0 1 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 5 0 0
## [99541] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
## [99577] 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0
## [99613] 0 0 0 0 0 0 0 0 0 0 4 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
## [99649] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99685] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99721] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
## [99757] 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 4 0 0 2 0 1 2 0 0 0 1 0 0 0
## [99793] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 4
## [99829] 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
## [99865] 0 0 0 0 0 0 0 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99901] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 1 0 0 0 0 0 0 0 0 0
## [99937] 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99973] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2
## [ reached getOption("max.print") -- omitted 5217 entries ]table(violec_especif21$viol21_sex_total)##
## 0 1 2 3 4 5 6
## 98106 3046 1472 1172 968 341 111hist(violec_especif21$viol21_sex_total)
violec_especif21$viol21_sex_disc = factor(violec_especif21$viol21_sex_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif21$viol21_sex_disc)##
## No Sí
## 98106 7110# violencia21 economica
violec_especif21$viol21_eco_total =
(violec_especif21$violencia21_economica1+
violec_especif21$violencia21_economica2+
violec_especif21$violencia21_economica3+
violec_especif21$violencia21_economica4+
violec_especif21$violencia21_economica5+
violec_especif21$violencia21_economica6+
violec_especif21$violencia21_economica7)
table(violec_especif21$violencia21_economica7)##
## 0 1
## 81479 9212violec_especif21$viol21_eco_total## [1] 0 4 0 NA 4 0 3 1 0 0 NA NA 5 0 0 1 0 0 0 1 NA 0 NA 0
## [25] 0 0 NA 0 0 NA NA 0 1 0 3 NA NA NA NA 0 NA NA 4 0 0 0 0 NA
## [49] NA NA 0 1 1 0 1 0 0 0 NA 1 0 6 0 0 0 0 0 0 0 0 0 0
## [73] 0 0 0 0 0 2 0 0 0 0 1 0 0 0 1 0 NA NA 3 0 NA 0 NA 1
## [97] 6 0 0 0 0 NA 0 0 0 0 NA NA 0 0 NA 0 0 0 2 3 0 NA NA 0
## [121] NA NA 0 NA 0 0 NA 0 0 4 0 NA NA NA 0 0 2 3 3 1 0 2 0 0
## [145] 2 0 NA NA NA 0 NA 1 0 0 0 0 0 1 0 0 3 NA 0 0 1 0 1 0
## [169] 0 NA 0 3 0 0 NA 4 0 0 0 5 0 0 0 0 0 2 0 0 0 0 0 1
## [193] 0 2 0 0 3 NA 0 0 2 0 0 2 0 NA 2 2 0 0 0 0 0 0 NA 0
## [217] NA 0 5 4 1 0 0 3 NA NA 0 0 0 4 0 0 0 NA 0 0 0 0 0 0
## [241] 0 0 0 0 0 0 0 0 NA 0 4 0 2 0 1 1 0 NA NA NA 0 NA NA 0
## [265] 0 0 3 0 0 NA 0 NA 0 NA 0 5 0 0 1 0 NA 1 NA 0 6 NA NA 0
## [289] NA 1 4 0 0 NA 1 NA 0 0 1 1 3 0 NA NA 0 0 0 0 0 0 0 NA
## [313] 0 0 0 1 NA NA 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0
## [337] 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 NA 0 4 4 NA 4 0 0 0
## [361] 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 NA NA 0
## [385] 0 NA 0 6 0 NA 0 0 5 NA 0 NA 0 2 0 NA 1 1 1 0 0 2 0 1
## [409] 0 0 0 NA NA 0 0 0 1 0 0 0 0 0 4 0 0 NA 0 0 0 0 0 4
## [433] 1 0 0 0 0 0 1 NA 0 NA 1 1 0 NA 5 0 0 0 0 0 0 NA 0 0
## [457] 0 0 NA 0 0 NA 3 0 1 0 0 0 1 4 1 0 0 NA 2 0 0 0 NA 2
## [481] 0 NA NA 0 NA 3 NA NA 0 0 0 NA 5 0 NA 0 0 0 0 0 0 0 5 0
## [505] 0 1 0 0 1 NA NA 0 0 NA 0 0 4 1 0 0 0 0 0 0 0 0 NA NA
## [529] 0 1 0 NA NA 1 0 1 2 4 4 0 0 0 0 NA NA 2 0 NA NA 0 0 1
## [553] 2 NA 0 0 0 0 0 1 0 NA NA 0 0 0 0 NA 0 4 NA 0 NA 0 1 3
## [577] 1 0 0 0 NA 0 0 3 0 0 0 0 0 3 0 0 0 0 NA 0 0 0 0 0
## [601] 0 NA 0 0 NA 0 0 NA 0 NA 0 1 NA 0 0 0 0 0 NA 0 0 NA 3 0
## [625] 6 2 NA 0 0 0 NA 0 NA 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0
## [649] 2 0 0 NA 0 NA 0 0 0 NA 4 0 0 0 0 0 0 0 0 0 0 0 0 0
## [673] 0 0 0 1 0 0 0 NA 0 0 NA 2 0 4 0 0 NA 2 0 1 NA 0 0 NA
## [697] 0 0 3 NA 0 2 0 0 0 0 0 0 1 0 0 2 0 1 NA 0 1 0 0 0
## [721] NA 6 0 1 0 0 5 0 NA 0 0 1 0 1 1 0 4 0 0 0 NA 0 1 2
## [745] NA 0 2 2 NA 2 0 0 0 2 0 7 NA 0 0 0 0 0 0 1 0 0 NA NA
## [769] NA 0 0 0 0 0 0 5 0 3 0 0 0 NA 5 1 1 1 0 0 NA NA 0 NA
## [793] 0 0 0 1 NA 0 0 1 0 0 1 0 0 3 4 0 0 NA 3 4 0 NA NA 0
## [817] 5 2 NA 0 0 NA 0 2 1 2 0 1 0 NA NA NA 0 0 0 0 3 0 0 0
## [841] NA 0 0 0 0 0 0 0 3 NA NA 1 0 NA 1 0 0 0 0 NA 1 0 0 0
## [865] 0 NA 0 0 NA NA 0 0 0 NA 0 0 1 0 1 NA 0 0 0 2 0 0 1 0
## [889] NA NA 0 NA NA 0 1 0 1 0 0 1 2 6 1 0 NA 0 0 0 NA 0 0 1
## [913] NA 0 NA 0 0 NA 1 0 0 0 0 0 0 0 0 NA 0 0 NA 0 1 NA NA 7
## [937] 0 0 0 0 0 0 0 NA 0 0 0 1 0 NA 0 0 5 2 NA 0 3 NA 0 0
## [961] NA 5 NA 4 0 0 NA 0 0 0 0 NA 1 NA 1 NA 0 1 0 NA 0 0 0 0
## [985] 0 NA 0 0 0 6 0 1 NA 0 0 0 2 1 0 NA 0 0 0 0 5 0 1 2
## [1009] 2 NA 0 0 0 0 4 0 0 NA 1 0 NA 0 0 0 0 1 1 0 0 0 5 NA
## [1033] 1 NA 0 0 0 0 4 0 NA 1 3 0 NA NA 0 NA 0 0 0 4 0 2 NA 0
## [1057] 4 0 0 0 0 4 0 0 0 0 0 0 0 1 1 1 3 3 0 1 1 1 4 1
## [1081] 0 1 2 1 5 1 NA 0 0 0 0 0 1 1 0 5 0 0 0 1 0 0 6 0
## [1105] NA 1 0 0 0 0 0 0 0 0 0 0 NA NA 0 NA 0 0 0 NA 0 0 0 4
## [1129] 1 3 0 0 0 0 0 NA 0 NA 0 0 0 0 NA 0 7 0 0 3 0 0 NA 0
## [1153] 0 NA 0 2 2 0 1 0 5 0 2 0 0 2 0 0 0 3 0 0 NA 0 0 5
## [1177] 0 NA 0 0 0 1 NA 0 NA 0 0 4 0 NA 0 1 0 0 0 0 NA 0 0 NA
## [1201] 0 0 0 0 4 0 2 0 NA 0 0 1 0 0 NA 0 0 1 2 0 NA 1 NA 0
## [1225] NA 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 NA 0 0 0 0 NA 1 0
## [1249] NA 1 0 NA NA 0 0 0 0 2 0 0 NA 0 NA 4 0 4 NA NA 0 2 NA 1
## [1273] 1 0 0 NA 1 7 NA 4 NA 0 0 0 NA 1 NA 0 0 2 3 0 0 NA 0 2
## [1297] NA 0 0 0 0 NA NA NA 0 0 0 NA NA 3 NA 0 0 0 0 0 NA 4 0 0
## [1321] 0 0 NA 0 0 1 1 3 0 0 NA NA 0 0 2 0 1 0 0 0 2 0 NA NA
## [1345] 0 0 0 0 0 0 NA NA 0 0 0 0 1 0 0 1 NA 0 NA NA NA 0 0 NA
## [1369] 4 0 0 0 0 0 0 5 NA 0 0 NA NA 1 1 0 0 0 0 0 0 0 NA 2
## [1393] 0 0 3 1 0 0 0 2 0 0 4 NA 0 3 0 0 1 NA NA NA 0 0 0 0
## [1417] 0 3 NA 0 1 0 6 3 0 0 0 0 0 2 NA 1 0 0 0 5 3 0 0 0
## [1441] 0 0 0 0 0 0 0 1 NA NA NA NA 0 0 0 NA NA 0 0 0 0 0 2 0
## [1465] 0 0 NA 0 3 5 0 NA 0 NA 0 3 0 0 0 NA 4 NA 0 0 1 5 0 0
## [1489] 0 0 1 0 0 1 1 NA 0 0 0 0 0 0 0 0 2 NA 1 0 0 0 0 NA
## [1513] 1 2 0 NA 0 0 NA 0 1 0 0 0 0 NA 0 0 1 NA 0 1 0 0 0 0
## [1537] NA 0 0 NA 0 0 NA 0 0 0 0 0 0 NA 0 0 2 NA 0 0 0 5 0 6
## [1561] 0 0 0 2 0 0 1 0 0 0 NA 0 0 0 0 0 6 NA 0 0 0 0 NA 0
## [1585] 1 1 0 0 0 5 0 1 0 0 NA 2 0 NA 1 1 0 0 0 0 0 0 5 0
## [1609] 0 NA 0 0 0 0 NA 0 NA 0 0 0 0 NA 0 0 3 0 0 1 0 0 2 NA
## [1633] 0 0 0 0 0 1 1 0 0 0 0 1 NA 0 0 NA 0 0 NA 0 2 0 0 NA
## [1657] 4 5 0 0 0 0 0 4 0 0 NA 0 0 NA 0 1 0 4 0 NA 0 0 NA 0
## [1681] 0 0 NA 0 0 0 0 1 0 0 0 NA 0 2 2 0 1 0 1 NA 0 0 0 0
## [1705] NA 1 6 NA 0 0 0 0 0 0 0 1 2 NA 0 0 0 3 NA 1 0 NA NA NA
## [1729] 0 NA 0 0 NA 1 0 NA 0 NA 0 1 0 0 0 0 NA 0 0 0 0 6 0 0
## [1753] NA 0 0 3 NA 0 1 0 0 1 4 0 0 0 0 NA 0 0 0 0 0 NA 0 0
## [1777] 0 0 0 0 0 NA 0 0 0 0 NA 5 NA 0 NA 0 0 0 0 3 0 0 1 1
## [1801] 6 0 0 0 6 1 NA 0 0 0 NA 0 2 NA 0 4 NA 5 3 0 NA 0 0 0
## [1825] 7 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2
## [1849] 0 1 0 0 0 NA 0 4 0 0 NA 4 NA 0 1 4 0 0 0 0 1 0 5 1
## [1873] NA 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 4 1 0 1 0 NA 0 0
## [1897] 1 0 0 1 3 0 1 0 0 0 0 0 0 0 0 NA 0 6 NA 0 0 1 0 0
## [1921] NA 0 0 NA 4 5 0 NA 0 2 NA 0 0 2 NA 0 0 NA 1 0 0 0 0 1
## [1945] NA 0 0 0 0 0 0 0 NA 0 0 0 0 7 4 0 0 2 0 5 1 0 0 0
## [1969] 3 0 0 NA 0 0 0 0 3 0 0 NA NA 1 NA NA 0 5 0 0 0 2 NA NA
## [1993] 0 NA 0 0 0 1 NA 0 1 2 1 0 3 NA NA 0 NA 6 NA 3 NA 0 3 6
## [2017] 0 3 NA NA 1 0 0 0 NA 0 2 0 5 NA 1 NA 2 0 0 6 6 0 NA 0
## [2041] NA 0 0 0 0 0 NA 0 NA 2 0 0 0 1 0 0 0 1 0 NA 0 NA 0 2
## [2065] 3 0 0 NA 4 5 0 0 0 0 0 NA 0 0 0 0 0 0 4 0 5 2 0 0
## [2089] 0 0 0 0 0 0 NA NA 0 NA 0 NA 2 0 0 3 0 0 1 0 0 0 2 0
## [2113] 0 0 NA 2 0 0 0 0 NA NA 0 NA NA 0 0 0 NA 0 0 NA 5 0 0 1
## [2137] 0 0 NA 1 0 0 1 0 NA 2 3 5 2 0 0 0 0 0 0 2 NA 0 3 0
## [2161] 0 NA 0 3 0 NA 0 3 NA 6 0 0 NA 4 0 0 0 0 0 0 0 2 1 NA
## [2185] 0 2 1 NA 5 4 1 1 0 0 1 NA 2 4 0 0 0 0 NA 0 3 3 NA NA
## [2209] 2 5 0 0 1 0 NA 1 0 0 0 0 0 NA NA 1 NA NA 0 NA 0 0 1 0
## [2233] NA 0 4 0 0 1 0 5 0 5 0 0 0 2 5 0 0 0 0 0 0 0 0 0
## [2257] 0 1 0 3 0 0 0 0 0 NA 2 0 0 3 0 0 5 1 2 0 0 6 0 0
## [2281] 0 0 0 0 0 NA NA 0 0 0 NA 0 0 0 0 0 0 0 0 0 0 3 0 0
## [2305] 0 0 4 0 0 NA 0 0 6 0 0 0 NA 0 NA 2 NA NA 0 3 0 0 NA 0
## [2329] 0 0 0 1 0 0 1 2 3 0 0 1 0 0 NA 0 0 0 1 NA 0 NA 2 NA
## [2353] 0 0 0 0 1 0 NA 0 3 NA NA 1 0 0 2 0 4 4 NA 0 0 NA 0 0
## [2377] 0 NA 1 2 NA 0 2 0 0 0 0 0 0 0 0 0 0 2 0 2 0 NA 0 4
## [2401] 4 0 4 0 0 NA 5 0 0 0 0 0 3 0 0 0 NA NA NA 0 0 1 0 NA
## [2425] 0 0 0 0 0 0 NA 0 2 0 0 0 0 0 2 0 0 NA NA 4 0 0 0 NA
## [2449] 0 NA 0 0 0 0 0 4 0 0 2 0 0 0 1 6 0 0 2 0 3 0 1 0
## [2473] 0 NA 0 NA 0 2 0 0 1 5 0 2 0 0 0 0 0 0 0 3 1 NA 0 2
## [2497] 5 0 0 0 1 0 NA 4 0 NA 0 0 0 NA 0 3 0 2 1 0 NA 0 0 0
## [2521] 1 0 0 0 0 0 NA 0 NA 4 0 0 0 NA NA NA 0 0 2 NA 0 1 0 0
## [2545] 2 NA 2 1 6 NA 0 6 0 0 0 1 0 NA 0 2 NA NA 2 0 0 0 0 0
## [2569] NA 0 0 0 NA 0 0 0 0 NA 0 0 0 0 0 0 0 NA 1 NA 0 0 0 0
## [2593] 0 0 0 0 0 0 1 1 NA 0 0 0 0 NA 0 2 0 1 1 0 0 0 0 0
## [2617] 3 0 0 0 0 0 0 0 0 0 0 0 2 0 NA 0 0 0 0 1 0 0 0 0
## [2641] 2 0 0 0 0 0 1 NA 0 0 0 0 0 0 1 4 1 NA 0 0 0 0 0 1
## [2665] 0 0 0 0 NA 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [2689] 0 0 0 0 0 1 2 1 NA 2 NA 0 0 NA 0 0 0 0 0 0 0 0 0 0
## [2713] 0 0 0 0 0 1 NA 0 0 0 0 NA 0 NA 0 NA 0 1 NA NA 0 0 NA 1
## [2737] 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 2 NA 7 0 1 0 0 0 NA
## [2761] 0 NA 0 0 0 0 2 NA 0 0 1 0 0 0 0 0 NA 2 0 5 0 NA 0 0
## [2785] 2 0 5 0 1 0 1 0 0 2 0 0 0 0 NA 2 0 0 0 0 0 3 NA 0
## [2809] 0 0 0 NA 0 0 0 0 0 NA 0 0 NA 0 0 NA 0 0 4 0 NA 0 2 NA
## [2833] 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0
## [2857] 0 0 0 0 0 NA 3 0 0 0 0 0 0 1 0 NA NA 0 1 0 0 NA 1 0
## [2881] 0 0 0 0 2 0 0 1 0 0 1 0 NA 3 0 0 0 0 0 0 1 2 1 0
## [2905] 0 NA 1 0 0 0 0 3 0 0 0 5 1 0 0 0 0 0 0 4 0 1 2 0
## [2929] 3 0 2 0 0 NA 0 1 0 0 0 NA NA NA 0 0 0 NA 0 1 1 0 0 0
## [2953] 0 NA 2 NA NA 0 0 7 0 3 0 0 0 0 3 0 0 3 0 0 0 2 0 1
## [2977] 0 0 0 0 0 NA 0 2 0 0 0 0 2 NA 0 0 0 0 0 0 0 0 0 1
## [3001] 0 1 0 0 5 0 0 0 6 1 NA 0 NA 0 0 1 0 0 0 0 3 0 5 NA
## [3025] 5 0 3 0 NA 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 2
## [3049] 0 0 NA 1 NA 1 4 0 0 0 0 0 0 0 0 0 4 0 0 0 6 0 NA 0
## [3073] 3 0 5 0 0 NA 0 NA 0 0 0 0 0 0 0 0 NA 0 NA NA NA NA NA 0
## [3097] NA 0 0 0 1 NA 0 0 0 NA 0 0 0 0 1 0 0 0 0 0 1 NA 0 0
## [3121] 1 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0
## [3145] 0 0 1 0 0 0 0 0 3 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0
## [3169] 3 NA 0 0 1 0 0 NA 0 0 0 NA NA 0 0 0 0 0 0 0 0 0 0 0
## [3193] 0 NA 0 0 0 3 0 NA 0 0 NA 0 0 6 0 0 0 0 0 0 0 0 0 0
## [3217] 0 0 0 0 0 NA 0 0 NA 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0
## [3241] 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 NA NA 1 0 0 0 0 0
## [3265] 0 0 NA 0 0 1 0 0 0 0 2 0 4 0 1 2 0 0 0 0 0 0 0 0
## [3289] 0 1 NA 0 0 0 0 NA 0 0 3 0 0 2 NA 4 0 NA 0 0 0 5 0 NA
## [3313] 0 NA 0 0 0 0 NA 0 1 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0
## [3337] 0 2 0 0 0 NA NA 0 0 0 0 0 0 0 0 NA 0 NA 0 NA 0 0 0 0
## [3361] 0 0 0 0 0 NA NA NA 0 3 NA NA NA 0 2 0 0 0 0 0 NA 0 0 0
## [3385] 0 0 0 NA 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 2 0 0 2 0 2
## [3409] 0 0 0 0 0 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 0 NA 3 0 0
## [3433] 0 0 0 0 0 0 0 NA 0 0 NA 0 NA 0 NA 0 0 0 0 0 NA 0 0 0
## [3457] 0 0 NA 6 0 4 0 0 0 0 0 0 0 NA 0 NA 0 1 0 NA 0 0 2 0
## [3481] 2 0 0 0 NA 0 NA 0 0 0 0 0 0 0 0 0 0 NA 2 1 1 0 0 NA
## [3505] 2 0 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0
## [3529] 0 0 NA NA NA 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA
## [3553] 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 0 0 0 NA 0 NA 0 0 NA 0
## [3577] 0 0 0 0 3 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 6
## [3601] 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 NA 3 0 0 0 0 0
## [3625] 0 NA 0 0 0 0 0 0 0 0 0 1 0 NA 0 0 0 4 0 0 0 0 0 0
## [3649] 6 NA 0 0 0 NA NA 0 0 2 0 NA 0 NA 0 0 0 6 4 0 0 0 0 NA
## [3673] 0 0 NA 0 NA 0 0 0 0 0 NA 0 0 0 NA 0 0 0 NA NA 6 1 0 0
## [3697] 0 0 0 0 1 0 0 0 0 0 0 0 5 0 1 0 1 0 0 0 NA 0 3 0
## [3721] 0 0 0 0 3 0 NA 0 0 0 1 NA 0 0 0 2 0 NA 1 1 0 0 NA NA
## [3745] 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [3769] 2 3 4 0 NA 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 NA 0 0
## [3793] 0 0 0 0 1 5 0 0 0 0 NA 0 0 0 1 0 0 NA 0 0 0 0 0 0
## [3817] NA 0 1 0 1 0 7 0 0 1 1 1 5 NA 0 0 0 0 0 2 0 NA 0 0
## [3841] NA 0 NA NA 0 0 0 0 0 NA 0 0 1 NA NA 0 0 0 0 0 0 0 0 0
## [3865] NA 0 0 NA 0 0 0 0 NA NA NA NA NA 0 0 0 0 0 7 0 0 NA 1 0
## [3889] NA 0 0 0 0 3 1 0 0 0 1 0 0 NA 0 NA 0 0 0 0 NA 0 0 0
## [3913] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 NA NA
## [3937] 0 0 0 0 NA NA 0 0 NA NA 0 1 0 0 0 0 0 0 0 0 0 NA 0 NA
## [3961] 0 0 0 1 0 0 NA 0 3 3 0 0 0 0 NA 0 0 0 0 0 0 0 1 NA
## [3985] NA 1 0 3 0 0 NA NA NA NA 0 0 0 2 0 NA 0 1 6 0 0 2 7 4
## [4009] NA 0 0 0 0 0 0 0 0 1 0 0 0 NA NA 0 0 0 0 2 0 0 0 0
## [4033] 0 1 0 0 0 0 0 NA NA 0 NA 0 0 0 0 0 0 0 NA 0 0 0 0 0
## [4057] 0 NA 0 0 0 0 0 NA NA 0 NA 0 0 NA 0 0 0 NA 0 0 0 0 0 0
## [4081] 0 0 0 5 NA 0 0 NA NA 0 0 NA NA 0 0 NA 0 6 0 0 0 0 1 0
## [4105] 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 3 NA 0 0 0 0 NA 0
## [4129] 0 0 0 0 0 0 0 0 NA 0 0 NA 0 0 0 0 0 0 0 NA 2 0 0 0
## [4153] NA 0 0 0 0 0 0 1 0 0 0 NA 0 0 0 0 0 0 NA 0 0 0 2 0
## [4177] NA 4 0 0 0 0 0 NA 0 1 0 0 0 0 0 0 NA 0 0 0 0 0 0 NA
## [4201] NA NA 0 0 0 0 7 0 NA 2 0 NA 0 0 0 0 NA NA 0 0 1 0 0 0
## [4225] NA 1 0 0 NA 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4
## [4249] 0 0 0 0 0 0 1 0 0 0 0 0 0 NA NA 0 NA NA 0 1 0 0 1 0
## [4273] 0 1 0 0 1 2 1 0 3 1 1 NA 0 0 0 1 0 0 0 0 1 0 0 5
## [4297] 1 0 0 0 0 0 1 0 NA 0 0 5 0 3 1 0 0 0 0 0 0 0 0 NA
## [4321] 0 0 NA 0 0 0 0 0 0 NA 0 0 0 0 0 0 NA 0 0 0 NA 0 0 NA
## [4345] 0 0 0 0 0 1 1 0 0 0 2 0 1 0 3 NA 0 0 2 2 0 0 0 0
## [4369] 0 NA NA 0 NA 0 1 1 1 6 0 NA 0 1 6 1 0 0 0 0 0 0 0 0
## [4393] 0 0 0 2 0 0 NA 0 NA 0 2 0 0 0 0 NA 0 0 0 0 0 NA 0 0
## [4417] 0 0 0 0 0 0 NA 3 1 0 0 0 0 0 0 0 NA 0 0 0 1 0 0 0
## [4441] 0 0 NA 0 0 0 0 0 0 0 0 0 0 NA 1 0 0 0 0 0 0 0 0 0
## [4465] 2 0 0 NA 0 0 3 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 0 0 0
## [4489] NA 0 0 0 1 0 1 0 0 NA NA 0 0 0 0 0 0 0 0 0 0 0 0 0
## [4513] 0 NA 0 0 0 0 0 NA 0 NA 1 0 0 0 NA 0 0 0 0 3 0 NA NA 0
## [4537] 0 0 3 NA 0 0 0 NA 0 0 NA 0 0 2 NA 0 0 0 0 0 0 0 0 1
## [4561] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA 0 NA 0 0 0 2 0
## [4585] 0 NA 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 NA 0 0 0 0 NA 0
## [4609] 0 0 2 0 NA 2 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
## [4633] 0 0 0 0 0 0 0 0 0 0 NA NA 0 0 0 0 0 0 0 0 1 0 0 0
## [4657] 0 NA NA 0 NA 0 0 0 2 NA 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## [4681] 0 NA 0 4 0 0 0 NA 0 0 NA 0 0 0 NA 1 0 NA 0 NA NA 0 0 0
## [4705] 0 0 0 0 1 0 NA 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 1
## [4729] 0 0 4 NA 0 0 0 0 NA 0 0 0 0 0 1 0 1 1 NA NA 0 0 2 NA
## [4753] 0 0 0 0 0 NA 0 0 0 0 0 1 0 0 NA 0 0 NA 0 0 0 0 0 0
## [4777] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [4801] NA 0 1 NA 0 0 1 NA 0 NA 0 0 0 0 0 NA 0 0 0 1 0 0 0 0
## [4825] NA 0 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
## [4849] 0 NA 0 NA NA 0 NA 1 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0
## [4873] NA 1 NA NA 0 NA 0 0 3 1 NA 1 0 0 0 NA 0 0 0 0 0 0 0 NA
## [4897] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 NA NA 2 4 0 0 NA 0 1
## [4921] 0 0 0 0 0 0 2 1 2 0 0 NA 0 0 NA 0 0 NA 0 0 0 0 0 0
## [4945] 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0
## [4969] 0 0 0 NA 0 0 7 NA 0 0 0 0 0 6 0 0 0 NA NA NA NA 0 0 0
## [4993] NA 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA NA 1 0 0 NA 0 4
## [5017] NA 0 0 5 0 1 0 2 0 0 0 0 0 0 0 0 4 0 0 0 0 NA 0 0
## [5041] 0 0 0 NA 0 0 0 0 1 1 0 0 0 0 0 2 NA 0 0 NA 0 3 0 0
## [5065] NA 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NA 1 0
## [5089] NA 0 0 0 0 0 0 0 1 0 0 0 0 0 NA 0 0 0 0 0 0 1 0 0
## [5113] 0 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 NA NA 0 0 0 0 0 0
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## [99193] 0 0 NA 0 0 2 NA 0 NA 5 5 0 3 1 0 3 3 0 0 0 0 0 0 0
## [99217] 1 0 0 0 0 NA 0 0 1 NA 0 NA NA 1 0 0 0 1 0 0 0 4 0 3
## [99241] NA 0 0 0 0 5 0 0 0 NA 0 NA 0 0 NA 0 0 0 1 1 NA 0 1 7
## [99265] 0 NA 0 0 NA 0 0 0 NA 0 0 0 NA 1 0 0 2 3 2 0 0 1 0 NA
## [99289] 0 1 0 0 1 0 0 1 0 0 0 3 0 0 0 NA 0 NA 1 2 0 NA NA 0
## [99313] 0 0 0 0 1 0 0 0 0 3 0 0 0 NA 0 0 3 0 1 0 1 5 0 0
## [99337] 0 0 0 0 0 0 0 0 0 0 0 0 NA 1 0 0 0 0 0 0 NA 0 NA 0
## [99361] 0 1 NA 1 0 NA NA 0 NA NA NA NA 0 1 NA 1 0 0 1 0 NA 0 0 NA
## [99385] 0 0 0 0 0 1 0 2 0 3 3 NA NA 0 0 0 NA 0 0 0 NA NA 0 2
## [99409] NA 1 0 0 0 1 0 0 1 1 0 0 1 0 0 NA 0 0 1 0 0 0 0 0
## [99433] 0 0 0 0 0 5 1 0 0 NA 0 0 3 0 0 NA 0 1 0 0 0 0 0 NA
## [99457] 0 2 1 NA 5 0 0 0 0 0 0 0 0 0 0 0 1 3 NA NA 0 0 1 0
## [99481] 0 NA 0 0 0 0 0 0 0 1 0 0 0 0 0 NA 3 0 4 0 1 0 0 NA
## [99505] 0 0 2 3 1 1 0 7 2 0 6 0 0 0 0 NA 0 0 0 0 NA 0 NA NA
## [99529] 0 0 5 0 0 0 0 0 0 7 0 0 0 NA 0 0 0 0 7 NA 0 0 NA 0
## [99553] 0 0 0 2 0 NA 7 NA 0 0 0 0 0 3 0 0 0 0 NA 0 0 0 0 NA
## [99577] NA 0 0 0 3 0 0 NA 5 0 0 0 0 NA NA 1 0 0 NA 1 1 0 2 0
## [99601] 0 0 4 0 0 NA 0 0 0 0 2 0 0 4 0 0 0 NA NA 0 0 0 5 0
## [99625] 1 0 1 3 0 0 0 3 0 0 1 0 0 0 0 0 0 0 5 0 0 1 1 0
## [99649] 0 0 0 0 2 5 0 0 0 0 0 0 1 0 0 0 NA 0 0 0 1 0 0 0
## [99673] NA 1 NA 0 1 0 0 0 1 NA NA 0 0 0 0 1 0 NA 0 0 0 NA 0 0
## [99697] 4 0 0 0 0 0 2 0 0 0 0 0 0 NA 0 0 0 0 0 0 0 0 NA 0
## [99721] 0 0 0 NA 0 0 0 0 2 0 1 0 NA 6 1 NA NA 0 0 0 1 0 0 0
## [99745] 0 4 0 1 0 0 0 0 NA 1 0 0 0 NA 1 0 0 0 3 0 5 0 2 0
## [99769] 3 1 0 0 NA 2 5 0 1 0 1 2 NA NA 0 1 0 0 0 0 NA 1 1 2
## [99793] 2 2 0 0 0 0 0 0 0 0 0 1 0 0 0 NA 0 NA NA 0 0 0 0 0
## [99817] 0 0 0 NA 2 0 0 NA NA 0 1 5 0 NA 1 0 0 0 0 5 1 2 1 2
## [99841] 0 0 0 0 0 0 0 0 1 0 0 0 0 NA 0 0 0 1 0 NA NA 0 0 4
## [99865] NA 0 0 NA 0 0 1 NA 0 2 0 NA NA NA 0 0 NA 0 2 0 NA NA 0 0
## [99889] 0 0 0 0 0 0 0 0 0 NA NA 0 3 0 0 4 0 0 NA 0 0 NA NA 0
## [99913] 0 2 0 1 NA 0 0 0 0 0 0 4 2 0 5 NA 0 NA 0 0 0 NA 0 NA
## [99937] 0 5 0 0 1 NA 2 0 NA 0 0 0 0 0 0 1 1 0 0 0 0 5 NA 0
## [99961] 0 0 0 1 0 0 0 0 0 0 0 NA 0 0 0 0 3 0 0 0 0 0 3 NA
## [99985] 0 0 0 0 2 3 0 0 NA 1 0 0 0 0 1
## [ reached getOption("max.print") -- omitted 5217 entries ]table(violec_especif21$viol21_eco_total)##
## 0 1 2 3 4 5 6 7
## 70727 8610 4057 2804 2169 1380 698 246table(violec_especif21$violencia21_sexual5)##
## 0 1
## 102459 2757violec_especif21$viol21_eco_disc = factor(violec_especif21$viol21_eco_total,
labels = c("No",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí",
"Sí"
))
table(violec_especif21$viol21_eco_disc)##
## No Sí
## 70727 199644. Korelacion
Korelacion 2016
cor.test(violec_especif16$viol16_fis_total, violec_especif16$viol16_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif16$viol16_fis_total and violec_especif16$viol16_eco_total
## t = 225.29, df = 92440, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5911722 0.5994954
## sample estimates:
## cor
## 0.5953498cor.test(violec_especif16$viol16_fis_total, violec_especif16$viol16_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif16$viol16_fis_total,
## violec_especif16$viol16_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif16$viol16_fis_total and violec_especif16$viol16_eco_total
## S = 6.2335e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.5265456chisq.test(violec_especif16$viol16_fis_disc, violec_especif16$viol16_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif16$viol16_fis_disc and violec_especif16$viol16_eco_disc
## X-squared = 21518, df = 1, p-value < 2.2e-16table(violec_especif16$viol16_fis_disc, violec_especif16$viol16_eco_disc)##
## No Sí
## No 64389 9794
## Sí 6490 11769violec_especif16 %>%
tabyl(viol16_fis_disc, viol16_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol16_eco_disc
## viol16_fis_disc No Sí NA_
## No 73.9% (64,389) 11.2% (9,794) 14.9% (12,947)
## Sí 34.2% (6,490) 62.1% (11,769) 3.7% (693)
## Total 66.8% (70,879) 20.3% (21,563) 12.9% (13,640)Interpretacion de violencia economica con violencia fisica 2016
Pearson-Produkt-Moment-Korrelation
Un coeficiente de correlación de 0.5953 indica una relación lineal positiva significativa entre viol16_fis_total y viol16_eco_total. Esto significa que un mayor grado de violencia económica tiende a estar asociado con un mayor grado de violencia física, y viceversa.
Spearman’s rank correlation rho
Hay una moderada correlación positiva entre viol16_fis_total (violencia física) y viol16_eco_total (violencia económica) 0.5265456. Esta correlación es estadísticamente significativa, lo que sugiere que es probable que estos dos tipos de violencia estén relacionados entre sí. Esto significa que las personas que experimentan violencia física también es más probable que sufran violencia económica, y viceversa.
Chi-Quadrat:
Un valor p muy pequeño (menor que 2.2e-16) indica que podemos rechazar la hipótesis nula (la suposición de que no existe asociación entre las variables). Por lo tanto, existe una asociación estadísticamente significativa entre viol21_fis_disc y viol21_eco_disc. En otras palabras, hay una relación entre la discriminación debido a la violencia física y la discriminación debido a la violencia económica.
Tabela
86.8% (64,389): El 86.8% de las personas que no sufrieron discriminación económica, tampoco sufrieron discriminación física. La cantidad de estas personas es 64,389.
13.2% (9,794): El 13.2% de las personas que no sufrieron discriminación económica, sí sufrieron discriminación física. La cantidad de estas personas es 9,794.
35.5% (6,490): El 35.5% de las personas que sufrieron discriminación económica, no sufrieron discriminación física. La cantidad de estas personas es 6,490.
64.5% (11,769): El 64.5% de las personas que sufrieron discriminación económica, también sufrieron discriminación física. La cantidad de estas personas es 11,769.
La tabla muestra que un gran porcentaje de personas que no sufrieron discriminación económica (86.8%) tampoco sufrieron discriminación física. En contraste, el 64.5% de las personas que sufrieron discriminación económica también sufrieron discriminación física. Esto indica una relación significativa entre la discriminación económica y la discriminación física.
cor.test(violec_especif16$viol16_psi_total,violec_especif16$viol16_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif16$viol16_psi_total and violec_especif16$viol16_eco_total
## t = 340.56, df = 92440, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.7430947 0.7488132
## sample estimates:
## cor
## 0.7459677cor.test(violec_especif16$viol16_psi_total,violec_especif16$viol16_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif16$viol16_psi_total,
## violec_especif16$viol16_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif16$viol16_psi_total and violec_especif16$viol16_eco_total
## S = 4.514e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.6571486chisq.test(violec_especif16$viol16_psi_disc, violec_especif16$viol16_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif16$viol16_psi_disc and violec_especif16$viol16_eco_disc
## X-squared = 28887, df = 1, p-value < 2.2e-16violec_especif16 %>%
tabyl(viol16_psi_disc, viol16_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol16_eco_disc
## viol16_psi_disc No Sí NA_
## No 95.3% (54,282) 4.7% (2,650) 0.0% (0)
## Sí 46.7% (16,597) 53.3% (18,913) 0.0% (0)
## <NA> 0.0% (0) 0.0% (0) 100.0% (13,640)
## Total 66.8% (70,879) 20.3% (21,563) 12.9% (13,640)Interpretacion de violencia economica con violencia fisica
Pearson-Produkt-Moment-Korrelation
Un coeficiente de correlación de 0.746 muestra una relación lineal positiva significativa entre viol16_psi_total y viol16_eco_total. Esto significa que un mayor grado de violencia económica tiende a estar asociado con un mayor grado de violencia psicológica, y viceversa.
Spearman’s rank correlation rho
Hay una fuerte correlación positiva entre viol16_psi_total (violencia psicológica) y viol16_eco_total (violencia económica) de 0.6571486. Esta correlación es estadísticamente significativa, lo que sugiere que es probable que estos dos tipos de violencia estén relacionados entre sí. Esto significa que las personas que experimentan violencia psicológica también es más probable que sufran violencia económica, y viceversa.
Chi-Quadrat-Wert
Un valor p muy pequeño (menor que 2.2e-16) indica que podemos rechazar la hipótesis nula (la suposición de que no existe asociación entre las variables). Por lo tanto, existe una asociación estadísticamente significativa entre viol16_psi_disc y viol16_eco_disc. En otras palabras, hay una relación entre la discriminación debido a la violencia psicológica y la discriminación debido a la violencia económica.
Tabela
95.3% (54,282): El 95.3% de las personas que no sufrieron discriminación económica, tampoco sufrieron discriminación psicológica. La cantidad de estas personas es 54,282.
4.7% (2,650): El 4.7% de las personas que no sufrieron discriminación económica, sí sufrieron discriminación psicológica. La cantidad de estas personas es 2,650.
46.7% (16,597): El 46.7% de las personas que sufrieron discriminación económica, no sufrieron discriminación psicológica. La cantidad de estas personas es 16,597.
53.3% (18,913): El 53.3% de las personas que sufrieron discriminación económica, también sufrieron discriminación psicológica. La cantidad de estas personas es 18,913.
La tabla muestra que un gran porcentaje de personas que no sufrieron discriminación económica (95.3%) tampoco sufrieron discriminación psicológica. En contraste, el 53.3% de las personas que sufrieron discriminación económica también sufrieron discriminación psicológica. Esto indica una relación significativa entre la discriminación económica y la discriminación psicológica.
cor.test(violec_especif16$viol16_sex_total,violec_especif16$viol16_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif16$viol16_sex_total and violec_especif16$viol16_eco_total
## t = 195.73, df = 92440, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5367202 0.5458355
## sample estimates:
## cor
## 0.5412938cor.test(violec_especif16$viol16_sex_total,violec_especif16$viol16_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif16$viol16_sex_total,
## violec_especif16$viol16_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif16$viol16_sex_total and violec_especif16$viol16_eco_total
## S = 7.366e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.4405306chisq.test(violec_especif16$viol16_sex_disc, violec_especif16$viol16_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif16$viol16_sex_disc and violec_especif16$viol16_eco_disc
## X-squared = 14487, df = 1, p-value < 2.2e-16violec_especif16 %>%
tabyl(viol16_sex_disc, viol16_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol16_eco_disc
## viol16_sex_disc No Sí NA_
## No 70.4% (69,976) 16.3% (16,222) 13.3% (13,248)
## Sí 13.6% (903) 80.5% (5,341) 5.9% (392)
## Total 66.8% (70,879) 20.3% (21,563) 12.9% (13,640)Interpretacion de violencia economica con violencia fisica
Pearson-Produkt-Moment-Korrelation
Un coeficiente de correlación de 0.541 muestra una relación lineal positiva significativa entre viol16_sex_total y viol16_eco_total. Esto significa que un mayor grado de violencia económica tiende a estar asociado con un mayor grado de violencia sexual, y viceversa.
Spearman’s rank correlation rho
El análisis muestra una relación monotónica positiva moderada entre viol16_sex_total y viol16_eco_total (0.4405306), siendo el resultado estadísticamente altamente significativo. Esto significa que las dos variables tienden a estar relacionadas, pero la relación no es perfecta ni lineal.
Chi-Quadrat-Wert
Un valor p muy pequeño (menor que 2.2e-16) indica que podemos rechazar la hipótesis nula (la suposición de que no existe asociación entre las variables). Por lo tanto, existe una asociación estadísticamente significativa entre viol16_sex_disc y viol16_eco_disc. En otras palabras, hay una relación entre la discriminación debido a la violencia sexual y la discriminación debido a la violencia económica.
Tabela
81.2% (69,976): El 81.2% de las personas que no sufrieron discriminación económica, tampoco sufrieron discriminación sexual. La cantidad de estas personas es 69,976.
18.8% (16,222): El 18.8% de las personas que no sufrieron discriminación económica, sí sufrieron discriminación sexual. La cantidad de estas personas es 16,222.
14.5% (903): El 14.5% de las personas que sufrieron discriminación económica, no sufrieron discriminación sexual. La cantidad de estas personas es 903.
85.5% (5,341): El 85.5% de las personas que sufrieron discriminación económica, también sufrieron discriminación sexual. La cantidad de estas personas es 5,341.
La tabla muestra que un gran porcentaje de personas que no sufrieron discriminación económica (81.2%) tampoco sufrieron discriminación sexual. En contraste, el 85.5% de las personas que sufrieron discriminación económica también sufrieron discriminación sexual. Esto indica una relación significativa entre la discriminación económica y la discriminación sexual.
cor.test(violec_especif21$viol21_fis_total, violec_especif21$viol21_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif21$viol21_fis_total and violec_especif21$viol21_eco_total
## t = 213.82, df = 90689, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5745813 0.5832354
## sample estimates:
## cor
## 0.5789246cor.test(violec_especif21$viol21_fis_total, violec_especif21$viol21_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif21$viol21_fis_total,
## violec_especif21$viol21_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif21$viol21_fis_total and violec_especif21$viol21_eco_total
## S = 6.0565e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.5128338chisq.test(violec_especif21$viol21_fis_disc, violec_especif21$viol21_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif21$viol21_fis_disc and violec_especif21$viol21_eco_disc
## X-squared = 20196, df = 1, p-value < 2.2e-16table(violec_especif21$viol21_fis_disc, violec_especif21$viol21_eco_disc)##
## No Sí
## No 64221 9199
## Sí 6506 10765violec_especif21 %>%
tabyl(viol21_fis_disc, viol21_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol21_eco_disc
## viol21_fis_disc No Sí NA_
## No 73.6% (64,221) 10.5% (9,199) 15.8% (13,781)
## Sí 36.1% (6,506) 59.8% (10,765) 4.1% (744)
## Total 67.2% (70,727) 19.0% (19,964) 13.8% (14,525)Interpretación de la violencia económica con la violencia física
###Correlación de producto-momento de Pearson En resumen, un coeficiente de correlación de 0.5803 indica que existe una relación lineal positiva significativa entre violencia física total y violencia económica total. En otras palabras, cuanto más violencia económica se reporta, más violencia física también se observa y viceversa.
###Spearman’s rank correlation rho En resumen, los resultados
muestran una relación monotónica positiva moderada y significativa entre
las variables viol21_fis_total y
viol21_eco_total (0.5128338). Esto significa que, cuando
los valores de una de las variables aumentan, esto tiende a estar
relacionado con un aumento en la otra variable.
###Valor Chi-cuadrado Un valor Chi-cuadrado de 20215 con un grado de libertad de 1 y un valor p de menos de 2.2e-16 significa que hay una asociación muy fuerte y estadísticamente significativa entre violencia física discr y violencia económica discr. En otras palabras, las dos variables no son independientes entre sí.
###Tabla: 73.6% (64,216): El 73.6% de las personas que no experimentaron violencia económica tampoco experimentaron violencia física. La cantidad de estas personas es 64,216.
10.6% (9,204): El 10.6% de las personas que no experimentaron violencia económica sí experimentaron violencia física. La cantidad de estas personas es 9,204.
15.8% (13,781): El 15.8% de las personas que no experimentaron violencia económica tienen un estado desconocido respecto a la violencia física. La cantidad de estas personas es 13,781.
36.1% (6,499): El 36.1% de las personas que experimentaron violencia económica no experimentaron violencia física. La cantidad de estas personas es 6,499.
59.8% (10,772): El 59.8% de las personas que experimentaron violencia económica también experimentaron violencia física. La cantidad de estas personas es 10,772.
4.1% (744): El 4.1% de las personas que experimentaron violencia económica tienen un estado desconocido respecto a la violencia física. La cantidad de estas personas es 744.
La tabla muestra que hay un número significativo de personas que han experimentado tanto violencia económica como física (59.8%). También muestra que la mayoría de las personas que no experimentaron violencia económica tampoco experimentaron violencia física (73.6%).
cor.test(violec_especif21$viol21_psi_total,violec_especif21$viol21_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif21$viol21_psi_total and violec_especif21$viol21_eco_total
## t = 332.33, df = 90689, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.7380673 0.7439366
## sample estimates:
## cor
## 0.7410161cor.test(violec_especif21$viol21_psi_total,violec_especif21$viol21_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif21$viol21_psi_total,
## violec_especif21$viol21_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif21$viol21_psi_total and violec_especif21$viol21_eco_total
## S = 4.4542e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.6417141chisq.test(violec_especif21$viol21_psi_disc, violec_especif21$viol21_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif21$viol21_psi_disc and violec_especif21$viol21_eco_disc
## X-squared = 27509, df = 1, p-value < 2.2e-16violec_especif21 %>%
tabyl(viol21_psi_disc, viol21_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol21_eco_disc
## viol21_psi_disc No Sí NA_
## No 95.0% (55,297) 5.0% (2,882) 0.0% (0)
## Sí 47.5% (15,430) 52.5% (17,082) 0.0% (0)
## <NA> 0.0% (0) 0.0% (0) 100.0% (14,525)
## Total 67.2% (70,727) 19.0% (19,964) 13.8% (14,525)Interpretacion de violencia economica con violencia psicologica
Correlación de producto-momento de Pearson
Un coeficiente de correlación de 0.7421 muestra una relación lineal positiva fuerte entre violencia psicológica total y violencia económica total. Esto significa que un mayor nivel de violencia económica está asociado con un mayor nivel de violencia psicológica y viceversa.
Spearman’s rank correlation rho
El análisis de correlación de rangos de Spearman muestra una relación
monotónica positiva significativa entre las variables
viol21_psi_total y viol21_eco_total, con un
valor de \(\rho = 0.6417\). Un valor de
\(\rho = 0.6417\) indica una
correlación positiva moderada, lo que significa que, cuando uno de los
valores de las variables aumenta, esto tiende a estar asociado con un
aumento en la otra variable. El valor p es menor a 2.2e-16, lo que
indica que este resultado es altamente significativo, por lo que se
puede rechazar la hipótesis nula (que sugiere que no hay relación). En
resumen, existe una relación positiva moderada y estadísticamente
significativa entre viol21_psi_total y
viol21_eco_total.
Valor Chi-cuadrado
Un valor Chi-cuadrado de 27540 con un grado de libertad de 1 y un valor p de menos de 2.2e-16 significa que hay una asociación muy fuerte y estadísticamente significativa entre violencia psicológica discr y violencia económica discr. En otras palabras, las dos variables no son independientes entre sí.
Tabla:
95.0% (55,297): El 95.0% de las personas que no experimentaron violencia económica tampoco experimentaron violencia psicológica. La cantidad de estas personas es 55,297.
5.0% (2,882): El 5.0% de las personas que no experimentaron violencia económica sí experimentaron violencia psicológica. La cantidad de estas personas es 2,882.
0.0% (0): El 0.0% de las personas que no experimentaron violencia económica tienen un estado desconocido respecto a la violencia psicológica.
47.4% (15,418): El 47.4% de las personas que experimentaron violencia económica no experimentaron violencia psicológica. La cantidad de estas personas es 15,418.
52.6% (17,094): El 52.6% de las personas que experimentaron violencia económica también experimentaron violencia psicológica. La cantidad de estas personas es 17,094.
La tabla muestra que hay un número significativo de personas que han experimentado tanto violencia económica como psicológica (52.6%). También muestra que la mayoría de las personas que no experimentaron violencia económica tampoco experimentaron violencia psicológica (95.0%).
cor.test(violec_especif21$viol21_sex_total, violec_especif21$viol21_eco_total)##
## Pearson's product-moment correlation
##
## data: violec_especif21$viol21_sex_total and violec_especif21$viol21_eco_total
## t = 207.29, df = 90689, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5625683 0.5714003
## sample estimates:
## cor
## 0.5670006cor.test(violec_especif21$viol21_sex_total,violec_especif21$viol21_eco_total, method = "spearman")## Warning in cor.test.default(violec_especif21$viol21_sex_total,
## violec_especif21$viol21_eco_total, : Kann exakten p-Wert bei Bindungen nicht
## berechnen##
## Spearman's rank correlation rho
##
## data: violec_especif21$viol21_sex_total and violec_especif21$viol21_eco_total
## S = 6.655e+13, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.4646866chisq.test(violec_especif21$viol21_sex_disc, violec_especif21$viol21_eco_disc)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: violec_especif21$viol21_sex_disc and violec_especif21$viol21_eco_disc
## X-squared = 16053, df = 1, p-value < 2.2e-16violec_especif21 %>%
tabyl(viol21_sex_disc, viol21_eco_disc) %>%
adorn_totals(where = c("row")) %>%
adorn_percentages(denominator = c('row')) %>%
adorn_pct_formatting() %>%
adorn_ns() %>%
adorn_title() ## viol21_eco_disc
## viol21_sex_disc No Sí NA_
## No 71.1% (69,725) 14.7% (14,443) 14.2% (13,938)
## Sí 14.1% (1,002) 77.7% (5,521) 8.3% (587)
## Total 67.2% (70,727) 19.0% (19,964) 13.8% (14,525)Interpretacion de violencia economica con violencia sexual
Correlación de producto-momento de Pearson
Un coeficiente de correlación de 0.5722 muestra una relación lineal positiva significativa entre violencia sexual total y violencia económica total. Esto significa que un mayor nivel de violencia económica está asociado con un mayor nivel de violencia sexual y viceversa.
Spearman’s rank correlation rho
El análisis de correlación de rangos de Spearman muestra una relación
monótona positiva significativa entre las variables
viol21_sex_total y viol21_eco_total, con un
valor de \(\rho\) de 0.4647. Un valor
de \(\rho\) de 0.4647 indica una
correlación positiva moderada, lo que significa que, cuando aumenta el
valor de una de las variables, esto tiende a estar asociado con un
aumento en la otra variable. El valor p es menor que 2.2e-16, lo que
indica que este resultado es altamente significativo. Por lo tanto, se
puede rechazar la hipótesis nula, que establece que no hay ninguna
relación entre las variables. En resumen, se observa una relación
positiva moderada entre viol21_sex_total y
viol21_eco_total que es estadísticamente significativa.
Valor Chi-cuadrado
Un valor Chi-cuadrado de 16110 con un grado de libertad de 1 y un valor p de menos de 2.2e-16 significa que hay una asociación muy fuerte y estadísticamente significativa entre violencia sexual discr y violencia económica discr. En otras palabras, las dos variables no son independientes entre sí.
Tabla:
71.1% (69,722): El 71.1% de las personas que no experimentaron violencia económica tampoco experimentaron violencia sexual. La cantidad de estas personas es 69,722.
14.7% (14,446): El 14.7% de las personas que no experimentaron violencia económica sí experimentaron violencia sexual. La cantidad de estas personas es 14,446.
14.2% (13,938): El 14.2% de las personas que no experimentaron violencia económica tienen un estado desconocido respecto a la violencia sexual. La cantidad de estas personas es 13,938.
14.0% (993): El 14.0% de las personas que experimentaron violencia económica no experimentaron violencia sexual. La cantidad de estas personas es 993.
77.8% (5,530): El 77.8% de las personas que experimentaron violencia económica también experimentaron violencia sexual. La cantidad de estas personas es 5,530.
8.3% (587): El 8.3% de las personas que experimentaron violencia económica tienen un estado desconocido respecto a la violencia sexual. La cantidad de estas personas es 587.
La tabla muestra que hay un número significativo de personas que han experimentado tanto violencia económica como sexual (77.8%). También muestra que la mayoría de las personas que no experimentaron violencia económica tampoco experimentaron violencia sexual (71.1%).
Korelacion entre 2016 y 2021
# install.packages('corrplot')
library(corrplot)## Warning: Paket 'corrplot' wurde unter R Version 4.4.2 erstellt## corrplot 0.95 loadedtable(violec_especif21$NOM_ENT)##
## YUCAT\xc1N SAN LUIS POTOS\xcd
## 3168 3408
## MICHOAC\xc1N DE OCAMPO AGUASCALIENTES
## 3395 3372
## CIUDAD DE M\xc9XICO M\xc9XICO
## 3099 3434
## QUER\xc9TARO NUEVO LE\xd3N
## 3281 3235
## BAJA CALIFORNIA BAJA CALIFORNIA SUR
## 3083 2967
## CAMPECHE CHIAPAS
## 3364 3400
## CHIHUAHUA COAHUILA DE ZARAGOZA
## 3256 3324
## COLIMA DURANGO
## 3151 3263
## GUANAJUATO GUERRERO
## 3465 3299
## HIDALGO JALISCO
## 3428 3205
## MORELOS NAYARIT
## 3145 3383
## OAXACA PUEBLA
## 3510 3374
## QUINTANA ROO SINALOA
## 2992 3388
## SONORA TABASCO
## 3233 3258
## TAMAULIPAS TLAXCALA
## 3109 3577
## VERACRUZ DE IGNACIO DE LA LLAVE ZACATECAS
## 3247 3403# Daten aus violec_especif21 filtern und auswählen
violec_especif21_selected = violec_especif21 %>%
dplyr::select(viol21_psi_total, viol21_sex_total, viol21_eco_total, viol21_fis_total)
violec_especif21_selected = na.omit(violec_especif21_selected)
datos_numericos21 <- violec_especif21_selected[, sapply(violec_especif21_selected, is.numeric)]
matriz_correlacion21 <- cor(datos_numericos21,,method = "spearman", use = "complete.obs") # Usa complete.obs para ignorar NA
library(corrplot)
corrplot.mixed(matriz_correlacion21, order = 'AOE')
# Daten aus violec_especif16 filtern und auswählen
violec_especif16_selected = violec_especif16 %>%
dplyr::select(viol16_fis_total, viol16_psi_total, viol16_sex_total, viol16_eco_total)
datos_numericos16 <- violec_especif16_selected[, sapply(violec_especif16_selected, is.numeric)]
matriz_correlacion16 <- cor(datos_numericos16, use = "complete.obs") # Usa complete.obs para ignorar NA
#library(corrplot)
corrplot(matriz_correlacion16, method = "circle", type = "upper", order = "AOE",
tl.col = "black", tl.srt = 45, addCoef.col = "black", number.cex = 0.7)