Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ---- echo = FALSE------------------------------------------------------------
pkgVersion <- packageDescription("EpiReport")$Version
pkgDate <- packageDescription("EpiReport")$Date
authorsString <- gsub("^ *|(?<= ) |\n| *$", "",
packageDescription("EpiReport")$Authors, perl = TRUE)
authorList <- eval(parse(text = authorsString))
pkgAuthors <- paste(format(authorList,
include = c("given", "family", "email", "comment"),
braces = list(email = c("<", ">,<br />"), comment = c("", ""))),
collapse = "<br /><br />")
pkgMaintainer <- packageDescription("EpiReport")$Maintainer
pkgLicense <- packageDescription("EpiReport")$License
pkgUrl <- packageDescription("EpiReport")$URL
## ---- echo=FALSE, results='asis'----------------------------------------------
my_dataset <- EpiReport::SALM2016
my_dataset <- dplyr::select(my_dataset,
c("HealthTopicCode", "MeasurePopulation", "MeasureCode",
"TimeUnit", "TimeCode", "GeoCode", "XLabel",
"YLabel", "ZValue", "YValue", "N"))
knitr::kable(my_dataset[sample(1:nrow(EpiReport::SALM2016), 10), ],
row.names = FALSE,
format = "html", table.attr = 'class="myTable"',
caption = "__Tab.1 Example of Salmonellosis data 2012-2016__")
## ---- echo=FALSE, results='asis'----------------------------------------------
my_dataset <- EpiReport::AERparams
my_dataset <- dplyr::select(my_dataset,
c("HealthTopic", "MeasurePopulation",
"TableUse", "AgeGenderUse",
"TSTrendGraphUse", "TSSeasonalityGraphUse",
"MapNumbersUse", "MapRatesUse", "MapASRUse"))
knitr::kable(my_dataset[sample(1:nrow(EpiReport::AERparams), 5), ],
row.names = FALSE,
format = "html", table.attr = 'class="myTable"',
caption = "__Tab.2 Example of the main columns of the parameter dataset__")
## ---- echo=FALSE, results='asis'----------------------------------------------
my_dataset <- EpiReport::MSCode
knitr::kable(my_dataset[sample(1:nrow(EpiReport::MSCode), 5), ],
row.names = FALSE,
format = "html", table.attr = 'class="myTable"',
caption = "__Tab.3 Example of geographical codes and associated labels__")
## ---- eval=FALSE--------------------------------------------------------------
# getAER()
## ---- eval=FALSE--------------------------------------------------------------
# output <- "C:/EpiReport/doc/"
# getAER(outputPath = output)
## ---- warning=FALSE-----------------------------------------------------------
# --- Importing the dataset
PERT2016 <- read.table("data/PERT2016.csv",
sep = ",",
header = TRUE,
stringsAsFactors = FALSE)
# --- Specifying the folder containing pertussis maps
pathMap <- paste(getwd(), "/maps", sep = "")
# --- (optional) Setting the local language in English for month label
Sys.setlocale("LC_TIME", "C")
# --- Producing the report
EpiReport::getAER(disease = "PERT",
year = 2016,
x = PERT2016,
pathPNG = pathMap)
## ---- eval = FALSE------------------------------------------------------------
# getTemplate(output_path = "C:/EpiReport/template")
## ---- eval = FALSE------------------------------------------------------------
# getAER(template = "C:/EpiReport/template/New_AER_Template.docx",
# outputPath = "C:/EpiReport/doc/")
## ---- eval = FALSE------------------------------------------------------------
# EpiReport::getTableByMS()
## ---- echo = FALSE------------------------------------------------------------
knitr::knit_print(EpiReport::getTableByMS())
## ---- eval = FALSE------------------------------------------------------------
# ZIKV2016 <- read.table("data/ZIKV2016.csv",
# sep = ",",
# header = TRUE,
# stringsAsFactors = FALSE)
# EpiReport::getTableByMS(x = ZIKV2016,
# disease = "ZIKV",
# year = 2016)
## ---- echo = FALSE------------------------------------------------------------
ZIKV2016 <- read.table("data/ZIKV2016.csv",
sep = ",",
header = TRUE,
stringsAsFactors = FALSE)
knitr::knit_print(EpiReport::getTableByMS(x = ZIKV2016,
disease = "ZIKV",
year = 2016))
## ---- fig.width = 7-----------------------------------------------------------
# --- Salmonellosis 2016 plot
EpiReport::getSeason()
## ---- fig.width = 7-----------------------------------------------------------
# --- Pertussis 2016 plot
EpiReport::getSeason(x = PERT2016,
disease = "PERT",
year = 2016)
## ---- fig.width = 7-----------------------------------------------------------
# --- Salmonellosis 2016 plot
EpiReport::getTrend()
## ---- fig.width = 7-----------------------------------------------------------
# --- Pertussis 2016 plot
EpiReport::getTrend(x = PERT2016,
disease = "PERT",
year = 2016)
## ---- fig.width = 7, fig.height=5, fig.retina=4, results='hide'---------------
# --- Salmonellosis 2016 map
EpiReport::getMap()
## ---- eval = FALSE------------------------------------------------------------
# # --- Pertussis 2016 map
# EpiReport::getMap(disease = "PERT",
# year = 2016,
# pathPNG = "C:/EpiReport/maps/")
## ---- fig.width = 7-----------------------------------------------------------
# --- Salmonellosis 2016 bar graph
EpiReport::getAgeGender()
## ---- fig.width = 7-----------------------------------------------------------
# --- Zika 2016 bar graph
EpiReport::getAgeGender(x = ZIKV2016,
disease = "ZIKV",
year = 2016)
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