From e15f903eacd4391b29ed4ce837a18916ad69a20b Mon Sep 17 00:00:00 2001 From: DiegoKoz Date: Sun, 24 May 2020 10:39:38 +0200 Subject: [PATCH] update webpage and readme --- R/organize_caes.R | 3 +- README.md | 84 +- docs/articles/eph.html | 32 +- .../figure-html/unnamed-chunk-18-1.png | Bin 74096 -> 73450 bytes docs/authors.html | 6 +- docs/index.html | 126 +- docs/pkgdown.yml | 2 +- docs/reference/CNO.html | 10 +- docs/reference/adulto_equivalente.html | 12 +- docs/reference/caes.html | 31 +- docs/reference/calculate_poverty.html | 26 +- docs/reference/calculate_tabulates.html | 30 +- docs/reference/canastas_reg_example.html | 10 +- docs/reference/centroides_aglomerados.html | 14 +- docs/reference/diccionario_aglomerados.html | 14 +- docs/reference/diccionario_regiones.html | 14 +- docs/reference/get_microdata.html | 12 +- docs/reference/get_poverty_lines.html | 9 +- docs/reference/index.html | 16 +- docs/reference/map_agglomerates.html | 11 +- docs/reference/organize_caes.html | 13537 +++++++++++++++- docs/reference/organize_cno.html | 10 +- docs/reference/organize_labels.html | 4 +- docs/reference/organize_panels.html | 8 +- docs/reference/toybase_hogar_2016_04.html | 10 +- .../reference/toybase_individual_2016_03.html | 10 +- .../reference/toybase_individual_2016_04.html | 10 +- man/organize_caes.Rd | 5 +- 28 files changed, 13760 insertions(+), 296 deletions(-) diff --git a/R/organize_caes.R b/R/organize_caes.R index 6e3e2d0..1af7fbc 100644 --- a/R/organize_caes.R +++ b/R/organize_caes.R @@ -1,5 +1,6 @@ #' @title organize_caes -#' @description Base con codigos y etiquetas del Clasificador de actividades economicas para encuestas sociodemograficas. +#' @description Funcion para clasificar las actividades economicas segun el +#' Clasificador de actividades economicas para encuestas sociodemograficas. #' CAES Mercosur 1.0 y CAES Mercosur. #' Basado en https://www.indec.gob.ar/ftp/cuadros/menusuperior/clasificadores/notas_explicativas_caes_v2018.pdf #' diff --git a/README.md b/README.md index 9c9b62b..1166e0f 100755 --- a/README.md +++ b/README.md @@ -19,21 +19,29 @@ status](https://codecov.io/gh/holatam/eph/branch/master/graph/badge.svg)](https: La librería `eph` tiene por objecto facilitar el trabajo de aquellos usuarios y usuarias de la [Encuesta Permanente de Hogares - INDEC](https://www.indec.gob.ar/bases-de-datos.asp) que deseen procesar datos de la misma mediante el lenguaje de programación [R](https://www.r-project.org/). -Sus principales funciones son: +Algunas de sus funciones son: -- **`get_microdata()`**: Descarga las bases de microdatos directamente de la página de INDEC +- **`get_microdata()`**: Descarga las bases de microdatos, + +- **`organize_panels()`**: Permite armar un pool de datos en panel de la EPH continua, + +- **`organize_cno()`**: Clasifica las ocupaciones según el CNO 2001 + +- **`organize_caes()`**: Clasifica las actividades económicas según CAES Mercosur 1.0 y CAES Mercosur - **`organize_labels()`**: Etiqueta las bases siguiendo el último [diseño de registro](https://www.indec.gob.ar/ftp/cuadros/menusuperior/eph/EPH_registro_t218.pdf) -- **`calculate_tabulates()`**: Crea tabulados uni o bivariados con ponderacion, totales parciales y porcentajes. +- **`map_agglomerates()`**: Mapa de indicadores por aglomerado -- **`calculate_poverty()`**: Replica el cálculo de pobreza e indigencia del INDEC, pero para las bases trimestrales^[el calculo oficial se realiza sobre bases semestrales no publicadas] -- **`get_poverty_lines()`**: Descarga de canasta basica alimentaria y canasta basica total +El paquete también cuenta con dataframes útiles para el trabajo con la EPH. Algunos de estos son: -- **`organize_panels()`**: Arma un pool de datos para trabajar con panel en la EPH continua +- **`diccionario_regiones`** +- **`diccionario_aglomerados`** +- **`centroides_aglomerados`** +- **`adulto_equivalente`** -## Cómo citar este paquete en tu artículo +## Cómo citar este paquete Podés citar este paquete como "se obtuvieron y/o normalizaron los datos de la Encuesta Permanente de Hogares (EPH-INDEC) utilizando el paquete de R 'eph' (Kozlowski et al, 2020)". @@ -70,7 +78,8 @@ Para la versión en desarrollo ```r -# install.packages('devtools') si no tiene instalado devtools +# install.packages('devtools') +# si no tiene instalado devtools devtools::install_github("holatam/eph") @@ -78,67 +87,18 @@ devtools::install_github("holatam/eph") ## Modo de uso -### Descarga de microdatos --> +Ejemplo de descarga de microdatos ```r # Cargo la libreria library(eph) -# Obtengo la base de microdatos para individuos -base_2016t3_ind <- get_microdata(year = 2016, trimester = 3, type = 'individual') - -# Obtengo la base de microdatos para hogares -base_2016t3_hog <- get_microdata(year = 2016, trimester = 3, type = 'hogar') - -``` - -### Tabulados uni / bivariados con ponderación, totales parciales y porcentajes --> - -```r - -# Cargo la libreria -library(eph) - -# Obtengo el tabulado con el cruce de variables entre Condición de actividad (`ESTADO`) y Sexo (`CH04`): -calculate_tabulates(base, x = "ESTADO", y = "CH04", add.totals = "row", add.percentage = "col") - - ESTADO/CH04 1 2 - 0 0.1% 0.1% - 1 48.9% 34.4% - 2 3.7% 3.2% - 3 31.7% 48.5% - 4 15.6% 13.8% - Total 100.0% 100.0% - -``` - -### Etiquetas [labels] para base de microdatos --> - -```r - -# Cargo la librería -library(eph) +base_individual <- get_microdata(year = 2018:2019, # especifco el año + trimester = 1, # el trimestre + type='individual', # y el tipo de base + vars = c('PONDERA','ESTADO','CAT_OCUP')) # opcionalmente, puedo especificar las variables que deseo utilizar. -# Obtengo la base de microdatos para individuos -base_2016t3_ind <- get_microdata(year = 2016, trimester = 3, type = 'individual') - -# Agrego las etiquetas a las variables y sus valores -base_2016t3_ind <- organize_labels(base_2016t3_ind, type='individual') - -# Ejemplo 1: -# Obtengo el tabulado con el cruce de variables entre Condición de actividad (`ESTADO`) y Sexo (`CH04`), con etiquetas: -calculate_tabulates(base, x = "ESTADO", y = "CH04", add.totals = "row", add.percentage = "col") - - ESTADO/CH04 Varon Mujer - Entrevista individual no realizada (no respuesta al cuestionario individual) 0.1% 0.1% - Ocupado 48.9% 34.4% - Desocupado 3.7% 3.2% - Inactivo 31.7% 48.5% - Menor de 10 años. 15.6% 13.8% - Total 100.0% 100.0% - - ``` ## Aportes de la comunidad diff --git a/docs/articles/eph.html b/docs/articles/eph.html index f7c5a69..fff3cef 100755 --- a/docs/articles/eph.html +++ b/docs/articles/eph.html @@ -87,7 +87,7 @@

Pablo Tiscornia

Guido Weksler

Natsumi Shokida

-

2020-05-13

+

2020-05-24

Source: vignettes/eph.Rmd @@ -280,11 +280,11 @@

#> # A tibble: 5 x 7 #> year trimester wave type PONDERA ESTADO CAT_OCUP #> <int> <int> <lgl> <fct> <int> <int> <int> -#> 1 2018 2 NA individual 516 1 3 -#> 2 2017 2 NA individual 136 1 3 -#> 3 2018 2 NA individual 113 3 0 -#> 4 2017 1 NA individual 161 1 3 -#> 5 2017 1 NA individual 188 3 0 +#> 1 2017 2 NA individual 339 1 3 +#> 2 2018 1 NA individual 110 1 2 +#> 3 2017 2 NA individual 602 4 0 +#> 4 2018 2 NA individual 2698 2 2 +#> 5 2018 1 NA individual 1867 1 3

Con estos datos podemos crear por ejemplo la serie de asalarización

\(SO_{t} = \frac{\sum_{i=1}^n w_{i}TCP_{i}}{\sum_{i=1}^n w_{i}OCUP_{i}}\)

df <- df %>%
@@ -362,16 +362,16 @@ 

 #> # A tibble: 10 x 7
 #>    CODUSU                 ITF region  adequi_hogar CBA_hogar CBT_hogar situacion
 #>    <fct>                <int> <chr>          <dbl>     <dbl>     <dbl> <chr>    
-#>  1 TQRMNOPYQHKLLOCDEGG… 28000 Cuyo            0.77     1162.     2982. no_pobre 
-#>  2 TQRMNOQUUHKOKUCDEIH… 30000 Patago…         1        1813.     4963. no_pobre 
-#>  3 TQRMNOPYPHLLKRCDEOJ…     0 Patago…         0.83     1505.     4119. NA       
-#>  4 TQRMNORRRHMMLLCDEGG… 15100 Cuyo            1.52     2387.     6126. no_pobre 
-#>  5 TQRMNOPRUHLOLNCDEFN…  2854 Noreste         0.76     1150.     2595. no_pobre 
-#>  6 TQRMNOQSXHKKLPCDEGG… 45000 Cuyo            0.67     1052.     2700. no_pobre 
-#>  7 TQRMNOPQWHMMKRCDEGG… 14700 Cuyo            1.02     1539.     3950. no_pobre 
-#>  8 TQRMNOPQPHMOMMCDEIK…  3200 Pampea…         0.76     1327.     3199. no_pobre 
-#>  9 TQRMNOPTQHKOKRCDEGK… 41000 Pampea…         1.43     2397.     5768. no_pobre 
-#> 10 TQRMNOSVUHJOLUCDEFK…     0 Pampea…         1.54     2689.     6482. NA
+#> 1 TQRMNOQWYHMONMCDEIJ… 0 GBA 1 1684. 4053. NA +#> 2 TQRMNOTPUHKOMMCDEGJ… 0 Pampea… 0.76 1327. 3199. NA +#> 3 TQRMNOPVTHJMKUCDEHJ… 36000 Noroes… 1.43 2105. 4708. no_pobre +#> 4 TQRMNOPSWHJLQRCDEIJ… 18000 GBA 0.76 1280. 3080. no_pobre +#> 5 TQRMNORPUHJMLQCDEFK… 21000 Pampea… 0.96 1609. 3872. no_pobre +#> 6 TQRMNOSVXHJOPTCDEIJ… 0 GBA 0.66 1112. 2675. NA +#> 7 TQRMNORTSHJOKOCDEGP… 39400 Noroes… 0.76 1119. 2502. no_pobre +#> 8 TQRMNORWTHKLLMCDEIK… 92200 Pampea… 0.76 1274. 3066. no_pobre +#> 9 TQRMNOQTPHJNKOCDEHJ… 20300 Noroes… 0.35 515. 1152. no_pobre +#> 10 TQRMNOPWPHJMOSCDEIJ… 10100 GBA 1.02 1791. 4317. no_pobre
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+++ b/docs/authors.html @@ -127,12 +127,12 @@

Citation

Source: inst/CITATION
-

Diego Kozlowski, Pablo Tiscornia, Guido Weksler, Natsumi Shokida and German Rosati (2020). +

Diego Kozlowski, Pablo Tiscornia, Guido Weksler, German Rosati and Natsumi Shokida (2020). eph: Argentina's Permanent Household Survey Data and Manipulation Utilities. R package version https://doi.org/10.5281/zenodo.3462677

- 
@Manual{,
+    
@Manual{kozlowski2020,
   title = {eph: Argentina's Permanent Household Survey Data and Manipulation Utilities},
-  author = {Diego Kozlowski and Pablo Tiscornia and Guido Weksler and Natsumi Shokida and German Rosati},
+  author = {Diego Kozlowski and Pablo Tiscornia and Guido Weksler and German Rosati and Natsumi Shokida},
   year = {2020},
   doi = {10.5281/zenodo.3462677},
   url = {https://holatam.github.io/eph/},
diff --git a/docs/index.html b/docs/index.html
index fbc4416..dba49f8 100755
--- a/docs/index.html
+++ b/docs/index.html
@@ -98,105 +98,71 @@ 

 

 

 Descripción

-
La librería eph tiene por objecto facilitar el trabajo de aquellos usuarios y usuarias de la Encuesta Permanente de Hogares - INDEC que deseen procesar datos de la misma mediante R.

-
Sus principales funciones son:

+
La librería eph tiene por objecto facilitar el trabajo de aquellos usuarios y usuarias de la Encuesta Permanente de Hogares - INDEC que deseen procesar datos de la misma mediante el lenguaje de programación R.

+
Algunas de sus funciones son:

 
    
-
  • get_microdata(): Descarga las bases de microdatos directamente de la página de INDEC
    • 
+
  • get_microdata(): Descarga las bases de microdatos,
    • 
+
  • organize_panels(): Permite armar un pool de datos en panel de la EPH continua,
    • 
+
  • organize_cno(): Clasifica las ocupaciones según el CNO 2001
    • 
+
  • organize_caes(): Clasifica las actividades económicas según CAES Mercosur 1.0 y CAES Mercosur
    • 
 
  • organize_labels(): Etiqueta las bases siguiendo el último diseño de registro
    • 
-
  • calculate_tabulates(): Crea tabulados uni o bivariados con ponderacion, totales parciales y porcentajes.
    • 
-
  • calculate_poverty(): Replica el cálculo de pobreza e indigencia del INDEC, pero para las bases trimestrales^[el calculo oficial se realiza sobre bases semestrales no publicadas]
    • 
-
  • get_poverty_lines(): Descarga de canasta basica alimentaria y canasta basica total
    • 
-
  • orgnize_panels(): Arma un pool de datos para trabajar con panel en la EPH continua
    • 
+
  • map_agglomerates(): Mapa de indicadores por aglomerado
    • 
 

+
El paquete también cuenta con dataframes útiles para el trabajo con la EPH. Algunos de estos son:

+
    
+
  • diccionario_regiones
    • 
+
  • diccionario_aglomerados
    • 
+
  • centroides_aglomerados
    • 
+
  • adulto_equivalente
    • 
+

+

+

+

+Cómo citar este paquete

+
Podés citar este paquete como “se obtuvieron y/o normalizaron los datos de la Encuesta Permanente de Hogares (EPH-INDEC) utilizando el paquete de R ‘eph’ (Kozlowski et al, 2020)”.

+
La referencia completa para incluir en la bibliografía es:

+
Diego Kozlowski, Pablo Tiscornia, Guido Weksler, German Rosati and Natsumi Shokida (2020). eph: Argentina's Permanent Household Survey Data and Manipulation Utilities. R package version https://doi.org/10.5281/zenodo.3462677

+
Si necesitás la entrada bib:

+
@Manual{kozlowski2020,
+    title = {eph: Argentina's Permanent Household Survey Data and Manipulation Utilities},
+    author = {Diego Kozlowski and Pablo Tiscornia and Guido Weksler and German Rosati and Natsumi Shokida},
+    year = {2020},
+    doi = {10.5281/zenodo.3462677},
+    url = {https://holatam.github.io/eph/},
+  }

 

 

 

 Instalación

 
Para la versión estable

-
+
-
Para la versión en desarrollo.

-
-# install.packages('devtools') si no tiene instalado devtools
+
Para la versión en desarrollo

+
+# install.packages('devtools') 
+# si no tiene instalado devtools
 
 devtools::install_github("holatam/eph")

 

-

+

 

-Modo de uso.

-

-

-Descarga de microdatos –>

-
-# Cargo la libreria
-library(eph )
-
-# Obtengo la base de microdatos para individuos
-base_2016t3_ind <- get_microdata(year = 2016, trimester = 3, type = 'individual')
-
-# Obtengo la base de microdatos para hogares
-base_2016t3_hog <- get_microdata(year = 2016, trimester = 3, type = 'hogar')

-

-

-

-Tabulados uni / bivariados con ponderacion, totales parciales y porcentajes –>

-
-# Cargo la libreria
-library(eph)
-
-# Obtengo el tabulado con el cruce de variables entre Condición de actividad (`ESTADO`) y Sexo (`CH04`):
-calculate_tabulates(base, x = "ESTADO", y = "CH04", add.totals = "row", add.percentage = "col")
-
- ESTADO/CH04      1      2
-           0   0.1%   0.1%
-           1  48.9%  34.4%
-           2   3.7%   3.2%
-           3  31.7%  48.5%
-           4  15.6%  13.8%
-       Total 100.0% 100.0%

-

-

-

-Etiquetas [labels] para base de microdatos –>

+Modo de uso

+
Ejemplo de descarga de microdatos

 
-# Cargo la librería
-library(eph)
-
-# Obtengo la base de microdatos para individuos
-base_2016t3_ind <- get_microdata(year = 2016, trimester = 3, type = 'individual')
-
-# Agrego las etiquetas a las variables y sus valores
-base_2016t3_ind <- organize_labels(base_2016t3_ind, type='individual')
-
-# Ejemplo 1:
-# Obtengo el tabulado con el cruce de variables entre Condición de actividad (`ESTADO`) y Sexo (`CH04`), con etiquetas:
-calculate_tabulates(base, x = "ESTADO", y = "CH04", add.totals = "row", add.percentage = "col")
+# Cargo la libreria
+library(eph)
 
-                                                                  ESTADO/CH04  Varon  Mujer
- Entrevista individual no realizada (no respuesta al cuestionario individual)   0.1%   0.1%
-                                                                      Ocupado  48.9%  34.4%
-                                                                   Desocupado   3.7%   3.2%
-                                                                     Inactivo  31.7%  48.5%
-                                                            Menor de 10 años.  15.6%  13.8%
-                                                                        Total 100.0% 100.0%
-          
- 

-
-

-

-Referencias

-
Este es un proyecto abierto, realizado con el único objetivo de ayudar a la comunidad de usuaries de R que utiliza los datos de la EPH. Si usas el paquete en un trabajo académico, te agradeceríamos que incluyas la siguiente referencia

-
  Diego Kozlowski, Pablo Tiscornia, Guido Weksler, Natsumi Shokida and German Rosati (2020).
-  eph: Argentina's Permanent Household Survey Data and Manipulation Utilities. R package
-  version https://doi.org/10.5281/zenodo.3462677

+base_individual <- get_microdata(year = 2018:2019,   # especifco el año
+                                  trimester = 1,     # el trimestre
+                                  type='individual', # y el tipo de base
+                                  vars = c('PONDERA','ESTADO','CAT_OCUP')) # opcionalmente, puedo especificar las variables que deseo utilizar.

 
-

-

-Aportes de la comunidad

+

+

+Aportes de la comunidad

 
Este paquete se propone incorporar cualquier función de propósitos generales que utilice como base los datos de la Encuesta Permanente de Hogares. Todos los aportes en este sentido son bienvenidos.

 
Si trabajas con la EPH y querés agregar tu función, te recomendamos que leas el siguiente issue con consejos de como colaborar

 

-

 
 
   
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index e59adf3..7caff2f 100755
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 1.5.1
 pkgdown_sha: ~
 articles:
   eph: eph.html
-last_built: 2020-05-13T17:50Z
+last_built: 2020-05-24T08:34Z
 urls:
   reference: https://rindec.github.io/eph//reference
   article: https://rindec.github.io/eph//articles
diff --git a/docs/reference/CNO.html b/docs/reference/CNO.html
index a033f1e..fd253c3 100644
--- a/docs/reference/CNO.html
+++ b/docs/reference/CNO.html
@@ -140,11 +140,11 @@ 
FormatA data frame with 63 rows and 4 variables

 
-
digit
digito para identificar la dimensión del CNO

-
value
valor que toma cada categoría dentro de una dimensión

-
label
nombre de la categoría propia a una dimensión

-
variable
nombre de la dimensión del CNO

-...
+
digit
digito para identificar la dimension del CNO

+
value
valor que toma cada categoria dentro de una dimension

+
label
nombre de la categoria propia a una dimension

+
variable
nombre de la dimension del CNO

+
 
 
 
diff --git a/docs/reference/adulto_equivalente.html b/docs/reference/adulto_equivalente.html
index 6596754..5dfa3b7 100755
--- a/docs/reference/adulto_equivalente.html
+++ b/docs/reference/adulto_equivalente.html
@@ -6,7 +6,7 @@
 
 
 
-Tabla de valores de adulto equivalente según sexo y edad — adulto_equivalente • eph
+Tabla de valores de adulto equivalente segun sexo y edad — adulto_equivalente • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Tabla de valores de adulto equivalente según sexo y edad

+    
Tabla de valores de adulto equivalente segun sexo y edad

     Source: R/adulto_equivalente.R
     
     

 
     

-    
Tabla de valores de adulto equivalente según sexo y edad

+    
Tabla de valores de adulto equivalente segun sexo y edad

     

 
     
adulto_equivalente

@@ -143,7 +143,7 @@ 
FormatCH04
sexo

 
CH06
edad

 
adequi
unidades de adulto equivalente

-...
+
 
 
 
diff --git a/docs/reference/caes.html b/docs/reference/caes.html
index 90331bd..1f0bfeb 100644
--- a/docs/reference/caes.html
+++ b/docs/reference/caes.html
@@ -41,8 +41,11 @@
 
 
 
+             CAES Mercosur 1.0 - Actualizacion 2018.
+             Basado en https://bit.ly/notas-explicativas-CAES-v2018 y
+             https://www.indec.gob.ar/ftp/cuadros/menusuperior/clasificadores/caes_v2018.xls,
+             obtenidos de
+             https://www.indec.gob.ar/indec/web/Institucional-Indec-Clasificadores" />
 
 
 
@@ -133,8 +136,11 @@ 
caes

 
     

     
Base con codigos y etiquetas del Clasificador de actividades economicas para encuestas sociodemograficas.
-             CAES Mercosur 1.0 - Actualización 2018.
-             Basado en https://www.indec.gob.ar/ftp/cuadros/menusuperior/clasificadores/notas_explicativas_caes_v2018.pdf

+             CAES Mercosur 1.0 - Actualizacion 2018.
+             Basado en https://bit.ly/notas-explicativas-CAES-v2018 y
+             https://www.indec.gob.ar/ftp/cuadros/menusuperior/clasificadores/caes_v2018.xls,
+             obtenidos de
+             https://www.indec.gob.ar/indec/web/Institucional-Indec-Clasificadores

     

 
     
caes

@@ -143,14 +149,15 @@ 
caes

     
Format

 
     
A data frame with 140 rows and 8 variables:

-  
PP04B_COD
character Codigo clase CAES. 4 digitos (nivel 3) Variable que aparece en microdatos EPH

-  
PP04B_label
character Etiqueta clase CAES

-  
caes_seccion_cod
character Codigo seccion CAES. 2 digitos (nivel 2)

-  
caes_seccion_label
character Etiqueta seccion CAES

-  
caes_division_cod
character Codigo division CAES. Letra (nivel 1)

-  
caes_division_label
character Etiqueta division CAES

-  
caes_eph_cod
character Codigo reagrupamiento de CAES utilizado por EPH. Nivel 1

-  
caes_eph_label
factor Etiqueta reagrupamiento de CAES utilizado por EPH. Nivel 1

+  
caes_version
(character) Version del CAES utilizada

+  
PP04B_COD
(character) Codigo clase CAES. 4 digitos (nivel 3) Variable que aparece en microdatos EPH

+  
PP04B_label
(character) Etiqueta clase CAES

+  
caes_seccion_cod
(character) Codigo seccion CAES. 2 digitos (nivel 2)

+  
caes_seccion_label
(character) Etiqueta seccion CAES

+  
caes_division_cod
(character) Codigo division CAES. Letra (nivel 1)

+  
caes_division_label
(character) Etiqueta division CAES

+  
caes_eph_cod
(character) Codigo reagrupamiento de CAES utilizado por EPH (nivel 1)

+  
caes_eph_label
(factor) Etiqueta reagrupamiento de CAES utilizado por EPH (nivel 1)

 
 
 
diff --git a/docs/reference/calculate_poverty.html b/docs/reference/calculate_poverty.html
index 912d3c5..cd2accb 100755
--- a/docs/reference/calculate_poverty.html
+++ b/docs/reference/calculate_poverty.html
@@ -40,7 +40,7 @@
 
 
 
-
+
 
 
 
@@ -130,7 +130,7 @@ 
Calculo de Pobreza e Indigencia

     

 
     

-    
Función para calcular la pobreza e indigencia siguiendo la metodología de línea.

+    
Funcion para calcular la pobreza e indigencia siguiendo la metodologia de linea.

     

 
     
calculate_poverty(base, basket, print_summary = TRUE)

@@ -140,18 +140,11 @@ 
Arg
     
     
       base
-      
Base individual de uno o más períodos

+      
Base individual de uno o mas periodos

     
     
       basket
-      
basket basica alimentaria y total, con la siguiente estructura:
-# A tibble: N x 5
-  region    periodo   CBA   CBT codigo
-  <chr>     <chr>   <dbl> <dbl>  <dbl>
-1 Cuyo      2016.3  1509. 3872.     42
-2 Cuyo      2016.4  1570. 4030.     42
-3 GBA       2016.3  1684. 4053.      1
-. ...      .....   .....   ....    ...

+      
canasta basica alimentaria y total, con la estructura de la canasta de ejemplo (ver canastas_reg_example)

     
     
       print_summary
@@ -161,13 +154,16 @@ 
Arg
 
     
Details

 
-    
#'disclaimer: El script no es un producto oficial de INDEC.

+    
disclaimer: El script no es un producto oficial de INDEC.

 
     
Examples

     

-#'
-bases <- dplyr::bind_rows(toybase_individual_2016_03,toybase_individual_2016_04)
-base_pobreza <- calculate_poverty(base = bases, basket = canastas_reg_example,print_summary=TRUE)
#> # A tibble: 2 x 4
+bases <- dplyr::bind_rows(toybase_individual_2016_03,
+                          toybase_individual_2016_04)
+
+base_pobreza <- calculate_poverty(base = bases,
+                                  basket = canastas_reg_example,
+                                  print_summary=TRUE)
#> # A tibble: 2 x 4
 #> # Groups:   ANO4 [1]
 #>    ANO4 TRIMESTRE Tasa_pobreza Tasa_indigencia
 #>   <int>     <int>        <dbl>           <dbl>
diff --git a/docs/reference/calculate_tabulates.html b/docs/reference/calculate_tabulates.html
index 2b831d8..5f2956d 100755
--- a/docs/reference/calculate_tabulates.html
+++ b/docs/reference/calculate_tabulates.html
@@ -6,7 +6,7 @@
 
 
 
-Tabulado con ponderación — calculate_tabulates • eph
+Tabulado con ponderacion — calculate_tabulates • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Tabulado con ponderación

+    
Tabulado con ponderacion

     Source: R/calculate_tabulates.R
     
     

 
     

-    
Función para crear tabulados uni o bivariados con ponderacion, totales parciales y porcentajes.

+    
Funcion para crear tabulados uni o bivariados con ponderacion, totales parciales y porcentajes.

     

 
     
calculate_tabulates(
@@ -202,8 +202,9 @@ 
Examp
 
 ### tabla simple ###
 
-calculate_tabulates(base = toybase_individual_2016_04,x = 'REGION', y = 'CH04',
-            weights = 'PONDERA')
#>   REGION/CH04      1      2
+calculate_tabulates(base = toybase_individual_2016_04,
+                    x = 'REGION', y = 'CH04',
+                    weights = 'PONDERA')
#>   REGION/CH04      1      2
 #> 1           1 245400 236187
 #> 2          40  41706  49796
 #> 3          41  22680  19816
@@ -212,8 +213,9 @@ 
Examp
 #> 6          44  19250  17926

 ### para ver los totales por fila ###
 
-calculate_tabulates(base = toybase_individual_2016_04,x = 'REGION', y = 'CH04',
-            weights = 'PONDERA', add.totals = 'row')
#>  REGION/CH04      1      2
+calculate_tabulates(base = toybase_individual_2016_04,
+                    x = 'REGION', y = 'CH04',
+                    weights = 'PONDERA', add.totals = 'row')
#>  REGION/CH04      1      2
 #>            1 245400 236187
 #>           40  41706  49796
 #>           41  22680  19816
@@ -223,8 +225,9 @@ 
Examp
 #>        Total 455956 473798

 ### para ver los totales por columna ###
 
-calculate_tabulates(base = toybase_individual_2016_04,x = 'REGION', y = 'CH04',
-            weights = 'PONDERA', add.totals = 'col')
#>  REGION/CH04      1      2  Total
+calculate_tabulates(base = toybase_individual_2016_04,
+                    x = 'REGION', y = 'CH04',
+                    weights = 'PONDERA', add.totals = 'col')
#>  REGION/CH04      1      2  Total
 #>            1 245400 236187 481587
 #>           40  41706  49796  91502
 #>           41  22680  19816  42496
@@ -233,8 +236,9 @@ 
Examp
 #>           44  19250  17926  37176

 ### para ver porcentajes por fila ###
 
-calculate_tabulates(base = toybase_individual_2016_04,x = 'REGION', y = 'CH04',
-            weights = 'PONDERA', add.percentage ='row')
#>  REGION/CH04     1     2
+calculate_tabulates(base = toybase_individual_2016_04,
+                    x = 'REGION', y = 'CH04',
+                    weights = 'PONDERA', add.percentage ='row')
#>  REGION/CH04     1     2
 #>            1 51.0% 49.0%
 #>           40 45.6% 54.4%
 #>           41 53.4% 46.6%
diff --git a/docs/reference/canastas_reg_example.html b/docs/reference/canastas_reg_example.html
index ac106e2..bb09c70 100755
--- a/docs/reference/canastas_reg_example.html
+++ b/docs/reference/canastas_reg_example.html
@@ -6,7 +6,7 @@
 
 
 
-Canastas Básicas Alimentarias y Cavnastas Básicas Totales según región y trimestre — canastas_reg_example • eph
+Canastas Basicas Alimentarias y Canastas Basicas Totales segun region y trimestre — canastas_reg_example • eph
 
 
 
@@ -39,7 +39,7 @@
 
 
 
-
+
 
 
 
@@ -124,7 +124,7 @@
 

   

     

-    
Canastas Básicas Alimentarias y Cavnastas Básicas Totales según región y trimestre

+    
Canastas Basicas Alimentarias y Canastas Basicas Totales segun region y trimestre

     Source: R/canastas_reg_example.R
     
     

@@ -140,11 +140,11 @@ 
FormatA data frame with 12 rows and 5 variables

 
-
region
Nombre de región

+
region
Nombre de region

 
periodo
Año.trimestre

 
CBA
canasta basica alimentaria

 
CBT
inversa del coeficiente de engels

-
codigo
código de región

+
codigo
codigo de region

 ...
 
 
diff --git a/docs/reference/centroides_aglomerados.html b/docs/reference/centroides_aglomerados.html
index 3277869..cbda570 100644
--- a/docs/reference/centroides_aglomerados.html
+++ b/docs/reference/centroides_aglomerados.html
@@ -40,7 +40,8 @@
 
 
 
-
+
 
 
 
@@ -130,7 +131,8 @@ 
centroides_aglomerados

     

 
     

-    
Base con centroides de los aglomerados de EPH. Basado en https://www.indec.gob.ar/indec/web/Nivel4-Tema-1-39-120

+    
Base con centroides de los aglomerados de EPH.
+Basado en https://www.indec.gob.ar/indec/web/Nivel4-Tema-1-39-120

     

 
     
centroides_aglomerados

@@ -139,10 +141,10 @@ 
centroides_aglomerados

     
Format

 
     
A data frame with 32 rows and 4 variables:

-
AGLOMERADO
Factor Código de aglomerado EPH

-
nombre_aglomerado
Factor Nombre del aglomerado EPH

-
lat
latitud del aglomerado EPH

-
lon
longitud del aglomerado EPH

+
AGLOMERADO
(Factor) Codigo de aglomerado EPH

+
nombre_aglomerado
(Factor) Nombre del aglomerado EPH

+
lat
Latitud del aglomerado EPH

+
lon
Longitud del aglomerado EPH

 
 
 
diff --git a/docs/reference/diccionario_aglomerados.html b/docs/reference/diccionario_aglomerados.html
index 7d6dc7b..e9dce5e 100755
--- a/docs/reference/diccionario_aglomerados.html
+++ b/docs/reference/diccionario_aglomerados.html
@@ -6,7 +6,7 @@
 
 
 
-Diccionario de aglomerados según diseño de registro de la EPH — diccionario_aglomerados • eph
+Diccionario de aglomerados segun diseño de registro de la EPH — diccionario_aglomerados • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Diccionario de aglomerados según diseño de registro de la EPH

+    
Diccionario de aglomerados segun diseño de registro de la EPH

     Source: R/diccionario_aglomerados.R
     
     

 
     

-    
Diccionario de aglomerados según diseño de registro de la EPH

+    
Diccionario de aglomerados segun diseño de registro de la EPH

     

 
     
diccionario_aglomerados

@@ -140,9 +140,9 @@ 
FormatA data frame with 32 rows and 2 variables

 
-
codigo
código de aglomerado

+
codigo
Codigo de aglomerado

 
aglo
Nombre del aglomerado

-...
+
 
 
 
diff --git a/docs/reference/diccionario_regiones.html b/docs/reference/diccionario_regiones.html
index 3e6a45c..c63e7f7 100755
--- a/docs/reference/diccionario_regiones.html
+++ b/docs/reference/diccionario_regiones.html
@@ -6,7 +6,7 @@
 
 
 
-Diccionario de aglomerados según diseño de registro de la EPH — diccionario_regiones • eph
+Diccionario de regiones segun diseño de registro de la EPH — diccionario_regiones • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Diccionario de aglomerados según diseño de registro de la EPH

+    
Diccionario de regiones segun diseño de registro de la EPH

     Source: R/diccionario_regiones.R
     
     

 
     

-    
Diccionario de aglomerados según diseño de registro de la EPH

+    
Diccionario de regiones segun diseño de registro de la EPH

     

 
     
diccionario_regiones

@@ -140,9 +140,9 @@ 
FormatA data frame with 6 rows and 2 variables

 
-
codigo
código de región

+
codigo
Codigo de region

 
region
Nombre de región

-...
+
 
 
 
diff --git a/docs/reference/get_microdata.html b/docs/reference/get_microdata.html
index f47ce3d..9951216 100755
--- a/docs/reference/get_microdata.html
+++ b/docs/reference/get_microdata.html
@@ -158,7 +158,7 @@ 
Arg
     
     
       type
-      
un character o vector de characters con el tipo de base a descargar: 'individual' ; 'hogar', default individual

+      
un character o vector de characters con el tipo de base a descargar: 'individual'; 'hogar', default individual

     
     
       vars
@@ -168,15 +168,15 @@ 
Arg
 
     
Value

 
-    
En caso de una única base devuevle un dataframe.
-En caso de una consulta múltiple devuelve un dataframe anidado, con
-la información de cada consulta y una columna `microdata` con la base
+    
En caso de una unica base devuevle un dataframe.
+En caso de una consulta multiple devuelve un dataframe anidado, con
+la informacion de cada consulta y una columna `microdata` con la base
 correspondiente

     
Details

 
     
Las bases de la EPH puntual utilizan el parametro wave, para referirse a las ondas.
-Su alcance es entre la onda 1 de 1996 y a onda 1 de 2003.

-
Las bases de la EPH continua utiliza el parametro trimester, para referirse a los trimestres.
+Su alcance es entre la onda 1 de 1996 y la onda 1 de 2003.

+
Las bases de la EPH continua utilizan el parametro trimester, para referirse a los trimestres.
 Su alcance es entre tercer trimestre de 2003 a la actualidad
 disclaimer: El script no es un producto oficial de INDEC.

 
diff --git a/docs/reference/get_poverty_lines.html b/docs/reference/get_poverty_lines.html
index ed0a6c8..dcf10c5 100755
--- a/docs/reference/get_poverty_lines.html
+++ b/docs/reference/get_poverty_lines.html
@@ -40,7 +40,7 @@
 
 
 
-
+
 
 
 
@@ -130,7 +130,7 @@ 
Descarga de canasta basica alimentaria y canasta basica total

     

 
     

-    
Función que descarga la CBA y CBT a partir de abril 2016

+    
Funcion que descarga la CBA y CBT a partir de abril 2016

     

 
     
get_poverty_lines()

@@ -138,8 +138,9 @@ 
Descarga de canasta basica alimentaria y canasta basica total

 
     
Details

 
-    
disclaimer: El script no es un producto oficial de INDEC.

-
La función descarga la serie provista por indec en https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-43-149

+    
Disclaimer: El script no es un producto oficial de INDEC.

+
La funcion descarga la serie provista por indec en
+https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-43-149

 
     
Examples

     

diff --git a/docs/reference/index.html b/docs/reference/index.html
index 0185b56..b443b8a 100755
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -157,7 +157,7 @@ 
adulto_equivalente 

         
-        
Tabla de valores de adulto equivalente según sexo y edad

+        
Tabla de valores de adulto equivalente segun sexo y edad

       
         
         
@@ -175,13 +175,13 @@ 
calculate_tabulates() 

         
-        
Tabulado con ponderación

+        
Tabulado con ponderacion

       
         
         
           
canastas_reg_example 

         
-        
Canastas Básicas Alimentarias y Cavnastas Básicas Totales según región y trimestre

+        
Canastas Basicas Alimentarias y Canastas Basicas Totales segun region y trimestre

       
         
         
@@ -193,13 +193,13 @@ 
diccionario_aglomerados 

         
-        
Diccionario de aglomerados según diseño de registro de la EPH

+        
Diccionario de aglomerados segun diseño de registro de la EPH

       
         
         
           
diccionario_regiones 

         
-        
Diccionario de aglomerados según diseño de registro de la EPH

+        
Diccionario de regiones segun diseño de registro de la EPH

       
         
         
@@ -265,19 +265,19 @@ 
toybase_hogar_2016_04 

         
-        
Selección aleatoria de casos de la base 2016 trimestre 4 para la base hogar

+        
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base hogar

       
         
         
           
toybase_individual_2016_03 

         
-        
Selección aleatoria de casos de la base 2016 trimestre 3 para la base individual

+        
Seleccion aleatoria de casos de la base 2016 trimestre 3 para la base individual

       
         
         
           
toybase_individual_2016_04 

         
-        
Selección aleatoria de casos de la base 2016 trimestre 4 para la base individual

+        
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base individual

       
     
     
diff --git a/docs/reference/map_agglomerates.html b/docs/reference/map_agglomerates.html
index 849e183..69dd5dd 100644
--- a/docs/reference/map_agglomerates.html
+++ b/docs/reference/map_agglomerates.html
@@ -150,7 +150,7 @@ 
Arg
     
     
       agglomerates
-      
Variable con los códigos de aglomerados

+      
Variable con los codigos de aglomerados

     
     
       indicator
@@ -162,7 +162,7 @@ 
Arg
     
     
       palette
-      
paleta de colores a utilizar, incluye "viridis", "magma", "inferno", or "plasma". Para más opciones, ver colorNumeric

+      
Paleta de colores a utilizar, incluye "viridis", "magma", "inferno", or "plasma". Para mas opciones, ver colorNumeric

     
     
 
@@ -170,9 +170,10 @@ 
Arg
     
Examples

     

 toybase_individual_2016_04 %>%
-dplyr::group_by(AGLOMERADO) %>%
-dplyr::summarise(tasa_actividad = sum(PONDERA[ESTADO==1])/sum(PONDERA)) %>%
-map_agglomerates(agglomerates = AGLOMERADO,indicator = tasa_actividad)
#> `summarise()` ungrouping (override with `.groups` argument)
#> Assuming "lon" and "lat" are longitude and latitude, respectively

+ dplyr::group_by(AGLOMERADO) %>%
+ dplyr::summarise(tasa_actividad = sum(PONDERA[ESTADO==1])/sum(PONDERA)) %>%
+ map_agglomerates(agglomerates = AGLOMERADO,
+                   indicator = tasa_actividad)
#> `summarise()` ungrouping (override with `.groups` argument)
#> Assuming "lon" and "lat" are longitude and latitude, respectively

   

   
   
 
     

-    
Función para clasificar las ocupaciones según las 4 dimensiones del Clasificador Nacional de Ocupaciones
+    
Funcion para clasificar las ocupaciones segun las 4 dimensiones del Clasificador Nacional de Ocupaciones
 (CNO 2001)

     

 
@@ -142,14 +142,14 @@ 
Arg
     
     
       base
-      
Base individual de uno o más períodos

+      
Base individual de uno o mas periodos

     
     
 
     
Details

 
-    
disclaimer: El script no es un producto oficial de INDEC.

-
El usuario debe garantizarse que el clasificador CNO 2001 es compatible con la base que esta utilizando

+    
Disclaimer: El script no es un producto oficial de INDEC.

+
Importante: El usuario debe garantizarse que el clasificador CNO 2001 es compatible con la base que esta utilizando

 
     
Examples

     

diff --git a/docs/reference/organize_labels.html b/docs/reference/organize_labels.html
index e63cc5c..6c4fdc1 100755
--- a/docs/reference/organize_labels.html
+++ b/docs/reference/organize_labels.html
@@ -144,13 +144,13 @@ 
Arg
     
     
       type
-      
string. aclaracion de si se quiere etiquetar una type 'individual' u 'hogar'

+      
(string) aclaracion sobre si la base a etiquetar es de tipo 'individual' u 'hogar'

     
     
 
     
Details

 
-    
disclaimer: El script no es un producto oficial de INDEC.

+    
Disclaimer: El script no es un producto oficial de INDEC.

 
     
Examples

     
df <- organize_labels(toybase_individual_2016_04, type='individual')
#> Warning: You are trying to put value labels on factor. It can lead to unexpected results. Factor will be converted to character.
#> Warning: You are trying to put value labels on factor. It can lead to unexpected results. Factor will be converted to character.

diff --git a/docs/reference/organize_panels.html b/docs/reference/organize_panels.html
index 0e82ef8..95c7ac7 100755
--- a/docs/reference/organize_panels.html
+++ b/docs/reference/organize_panels.html
@@ -41,7 +41,7 @@
 
 
 
+de especificar una serie consecutiva de bases, variables y el largo de la ventana -window- de observación" />
 
 
 
@@ -132,7 +132,7 @@ 
Pool de Datos en Panel - Base Individudal EPH continua

 
     

     
Permite armar un pool de datos en panel de la EPH continua a partir
-de especificar una serie consecutiva de bases, variables y el largo de la window de observación

+de especificar una serie consecutiva de bases, variables y el largo de la ventana -window- de observación

     

 
     
organize_panels(bases, variables, window = "anual")

@@ -146,7 +146,7 @@ 
Arg
     
     
       variables
-      
Vector con nombres de las variables de interés

+      
Vector con nombres de las variables de interes

     
     
       window
@@ -159,7 +159,7 @@ 
Value

     
Devuelve el pool de datos de panel

     
Details

 
-    
disclaimer: El script no es un producto oficial de INDEC.

+    
Disclaimer: El script no es un producto oficial de INDEC.

 
     
Examples

     

diff --git a/docs/reference/toybase_hogar_2016_04.html b/docs/reference/toybase_hogar_2016_04.html
index 598c5aa..f07cbe7 100755
--- a/docs/reference/toybase_hogar_2016_04.html
+++ b/docs/reference/toybase_hogar_2016_04.html
@@ -6,7 +6,7 @@
 
 
 
-Selección aleatoria de casos de la base 2016 trimestre 4 para la base hogar — toybase_hogar_2016_04 • eph
+Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base hogar — toybase_hogar_2016_04 • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Selección aleatoria de casos de la base 2016 trimestre 4 para la base hogar

+    
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base hogar

     Source: R/toybase_hogar_2016_04.R
     
     

 
     

-    
Selección aleatoria de casos de la base 2016 trimestre 4 para la base hogar

+    
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base hogar

     

 
     
toybase_hogar_2016_04

diff --git a/docs/reference/toybase_individual_2016_03.html b/docs/reference/toybase_individual_2016_03.html
index 72abd83..a0b9cc7 100755
--- a/docs/reference/toybase_individual_2016_03.html
+++ b/docs/reference/toybase_individual_2016_03.html
@@ -6,7 +6,7 @@
 
 
 
-Selección aleatoria de casos de la base 2016 trimestre 3 para la base individual — toybase_individual_2016_03 • eph
+Seleccion aleatoria de casos de la base 2016 trimestre 3 para la base individual — toybase_individual_2016_03 • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Selección aleatoria de casos de la base 2016 trimestre 3 para la base individual

+    
Seleccion aleatoria de casos de la base 2016 trimestre 3 para la base individual

     Source: R/toybase_individual_2016_03.R
     
     

 
     

-    
Selección aleatoria de casos de la base 2016 trimestre 3 para la base individual

+    
Seleccion aleatoria de casos de la base 2016 trimestre 3 para la base individual

     

 
     
toybase_individual_2016_03

diff --git a/docs/reference/toybase_individual_2016_04.html b/docs/reference/toybase_individual_2016_04.html
index 50a5540..01ec9e1 100755
--- a/docs/reference/toybase_individual_2016_04.html
+++ b/docs/reference/toybase_individual_2016_04.html
@@ -6,7 +6,7 @@
 
 
 
-Selección aleatoria de casos de la base 2016 trimestre 4 para la base individual — toybase_individual_2016_04 • eph
+Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base individual — toybase_individual_2016_04 • eph
 
 
 
@@ -39,8 +39,8 @@
 
 
 
-
-
+
+
 
 
 
@@ -124,13 +124,13 @@
 

   

     

-    
Selección aleatoria de casos de la base 2016 trimestre 4 para la base individual

+    
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base individual

     Source: R/toybase_individual_2016_04.R
     
     

 
     

-    
Selección aleatoria de casos de la base 2016 trimestre 4 para la base individual

+    
Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base individual

     

 
     
toybase_individual_2016_04

diff --git a/man/organize_caes.Rd b/man/organize_caes.Rd
index 284c289..850fa7d 100644
--- a/man/organize_caes.Rd
+++ b/man/organize_caes.Rd
@@ -7,13 +7,14 @@
 organize_caes(base)
 }
 \arguments{
-\item{base}{Base individual de uno o más períodos}
+\item{base}{Base individual de uno o mas periodos}
 }
 \value{
 Devuelve la base con 8 columnas nuevas (ver \code{\link{caes}})
 }
 \description{
-Base con codigos y etiquetas del Clasificador de actividades economicas para encuestas sociodemograficas.
+Funcion para clasificar las actividades economicas segun el
+             Clasificador de actividades economicas para encuestas sociodemograficas.
              CAES Mercosur 1.0 y CAES Mercosur.
              Basado en https://www.indec.gob.ar/ftp/cuadros/menusuperior/clasificadores/notas_explicativas_caes_v2018.pdf
 }