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stringclasses 2
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stringclasses 71
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stringlengths 21
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⌀ |
|---|---|---|---|
SIVIREP | general | How to install the SIVIREP library in R? | ```r
install.packages("pak")
pak::pak("epiverse-trace/sivirep")
``` |
SIVIREP | general | How to install SIVIREP in R? | ```r
install.packages("pak")
pak::pak("epiverse-trace/sivirep")
``` |
SIVIREP | general | How do I import the sivirep package into my R session? | ```r
library(sivirep)
``` |
SIVIREP | general | How can I get a list of diseases available to generate reports with sivirep? | ```r
lista_eventos <- list_events()
knitr::kable(lista_eventos)
``` |
SIVIREP | general | Diseases and years available | ```r
lista_eventos <- list_events()
knitr::kable(lista_eventos)
``` |
SIVIREP | general | Filter disease and year | ```r
data_event <- import_data_event(year=2020, nombre_event="Dengue")
``` |
SIVIREP | general | Get Dengue table for the year 2020 | ```r
data_event <- import_data_event(year=2020, nombre_event="Dengue")
``` |
SIVIREP | general | What are the steps to create a new report using a template in sivirep? | Open RStudio and create a new R Markdown file by selecting 'File' > 'New File' > 'R Markdown'. In the 'From Template' option, select the 'Basic Report {sivirep}' template. Specify a name for your report and select the location where you want to save it. |
SIVIREP | general | How do I customize the report parameters in sivirep before generating the PDF? | After selecting the 'Basic Report {sivirep}' template and specifying the name and location of your report, you can customize the report parameters, such as the name of the disease, the year, and optionally, the department and municipality. Next, you must find and use the 'Knit' button in RStudio, selecting 'Knit with parameters' to compile the report with your specific parameters. |
SIVIREP | general | How can I modify the sections of my report generated by sivirep? | Once the report is generated in R Markdown format (.Rmd), you can open this file in RStudio to edit, add or delete sections according to your needs. This process allows you to customize the content and presentation of your report before finally compiling it into a PDF. |
SIVIREP | general | Does sivirep include functionalities for advanced report customization? | Yes, beyond the provided report templates, users can customize reports by editing the generated R Markdown file, allowing for the inclusion of additional analyses, custom charts, and specific comments. This offers flexibility to adapt reports to specific analysis or presentation needs. |
SIVIREP | general | How to install the development version of sivirep from GitHub? | ```r
install.packages("pak")
pak::pak("epiverse-trace/sivirep")
``` |
SIVIREP | general | After installing sivirep, how do I import the package and check for available diseases? | ```r
library(sivirep)
lista_eventos <- list_events()
knitr::kable(lista_eventos)
``` |
SIVIREP | general | How to generate an automated report for Dengue in 2020 in R Markdown using sivirep? | First, you must select "From Template" in RStudio when creating a new R Markdown file, then choose the Basic Report template {sivirep} and configure the desired parameters (disease, year, etc.) via "Knit with parameters". |
SIVIREP | general | How is imported SIVIGILA data cleaned and prepared for analysis in sivirep? | ```r
data_event_limp <- limpiar_data_sivigila(data_event=data_event)
``` |
SIVIREP | general | How is data for a specific disease by department filtered using sivirep? | ```r
data_event_filtrada <- geo_filtro(data_event=data_event_limp, dpto="Choco")
``` |
SIVIREP | general | How to generate a graph of the temporal distribution of Dengue cases by date of symptom onset in sivirep? | ```r
casos_ini_sintomas <- agrupar_fecha_inisintomas(data_event=data_event_limp)
plot_fecha_inisintomas(data_agrupada=casos_ini_sintomas, uni_marca="semanaepi")
``` |
SIVIREP | general | In sivirep, how is the sex distribution analysis performed and a corresponding graph generated? | ```r
casos_sex <- agrupar_sex(data_event=data_event_limp, porcentaje=TRUE)
plot_sex(data_agrupada=casos_sex)
``` |
SIVIREP | general | How do you update sivirep to the latest version available on GitHub? | ```r
pak::pak("epiverse-trace/sivirep@main") # Reemplaza 'main' con el nombre de la rama si es necesario
``` |
SIVIREP | agrupar_cols_casos | How do I group Ophidic Accident cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by code_eve of Ophidic Accident | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Ophidic Accident cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Ophidic Accident cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Ophidic Accident by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group cases of Aggression By Animals Potentially Transmitting Rabies by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by code_eve of Aggressions by Animals Potentially Transmitting Rabies | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Aggression by Animals Potentially Transmitting Rabies | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Aggression By Animals Potentially Transmitting Rabies grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Aggression by Animals Potentially Transmitting Rabies by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Congenital Anomalies cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by cod_eve of Congenital Anomalies | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Congenital Anomalies | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Congenital Anomalies grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Congenital Anomalies by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Low Birth Weight cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Low Birth Weight code_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Low Birth Weight | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Low Birth Weight grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get the cases of Low Birth Weight by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Breast and Cervical Cancer cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by code_eve of Breast and Cervical Cancer | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Breast and Cervical Cancer | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Breast and Cervical Cancer grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get the cases of Breast and Cervical Cancer by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Childhood Cancer cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Childhood Cancer code_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of cases of Childhood Cancer by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Childhood Cancer grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Childhood Cancer by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Chagas cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Chagas code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Chagas cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Chagas cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get Chagas cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Chikunguya cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Chikunguya code_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Chikunguya cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Chikunguya cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get Chikunguya cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Dengue cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Dengue code_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Dengue cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Dengue cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get Dengue cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Severe Dengue cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue Grave")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by code_eve of Severe Dengue | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue Grave")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Severe Dengue cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue Grave")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Severe Dengue cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue Grave")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get cases of Severe Dengue by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue Grave")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Esi - Irag (Sentinel Surveillance) cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Esi - Irag (Vigilancia Centinela)")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Esi code_eve - Irag (Sentinel Surveillance) | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Esi - Irag (Vigilancia Centinela)")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Esi - Irag (Sentinel Surveillance) cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Esi - Irag (Vigilancia Centinela)")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Esi - Irag (Sentinel Surveillance) cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Esi - Irag (Vigilancia Centinela)")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get the cases of Esi - Irag (Sentinel Surveillance) by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Esi - Irag (Vigilancia Centinela)")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group the cases of Serious Adverse Event After Vaccination by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Evento Adverso Grave Posterior A La Vacunación")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by code_eve of Serious Adverse Event After Vaccination | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Evento Adverso Grave Posterior A La Vacunación")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Serious Adverse Event After Vaccination | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Evento Adverso Grave Posterior A La Vacunación")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Serious Adverse Event After Vaccination grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Evento Adverso Grave Posterior A La Vacunación")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain the cases of Serious Adverse Event After Vaccination by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Evento Adverso Grave Posterior A La Vacunación")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Fluoride Exposure cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Exposición A Flúor")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Fluoride Exposure cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Exposición A Flúor")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Fluoride Exposure | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Exposición A Flúor")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Fluoride Exposure grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Exposición A Flúor")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Exposure to Fluoride by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Exposición A Flúor")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Yellow Fever cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Amarilla")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Yellow Fever code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Amarilla")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Yellow Fever cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Amarilla")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Yellow Fever cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Amarilla")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get cases of Yellow Fever by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Amarilla")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Typhoid and Paratyphoid Fever cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Tifoidea Y Paratifoidea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by typhoid and paratyphoid fever code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Tifoidea Y Paratifoidea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group by event code the number of cases of Typhoid and Paratyphoid Fever | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Tifoidea Y Paratifoidea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show cases of Typhoid and Paratyphoid Fever grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Tifoidea Y Paratifoidea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Obtain cases of Typhoid and Paratyphoid Fever by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Fiebre Tifoidea Y Paratifoidea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group Hepatitis A cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis A")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group cases by Hepatitis A code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis A")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Group the number of Hepatitis A cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis A")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Show Hepatitis A cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis A")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | Get Hepatitis A cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis A")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |
SIVIREP | agrupar_cols_casos | How do I group the cases of Hepatitis B, CY Hepatitis BY Delta Coinfection by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Hepatitis B, C Y Coinfección Hepatitis B Y Delta")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified |