knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) link <- function(text, url) { return( paste0( "[", text, "]", "(", url, ")" ) ) } dyn_link <- function(text, base_url, relative_url = "", # Change to TRUE when admiral adopts multiversion docs is_multiversion = FALSE, multiversion_default_ref = "main") { url <- paste(base_url, relative_url, sep = "/") if (is_multiversion) { url <- paste( base_url, Sys.getenv("BRANCH_NAME", multiversion_default_ref), relative_url, sep = "/" ) } return(link(text, url)) } # Other variables admiral_homepage <- "https://pharmaverse.github.io/admiral"
As this is a package extension, if you are new to {admiral}
then the best place to first start
reading would be this r dyn_link("Get Started", admiral_homepage, "articles/admiral.html")
guide. This extension package follows the same main idea and conventions, and re-uses many
functions from {admiral}
, so it is important to thoroughly understand these to be able to
use {admiralvaccine}
.
The most important functions in {admiralvaccine}
are the
derivations. Again these follow the same
conventions as {admiral}
but are focused to vaccine-specific needs.
It is expected that the input dataset is not grouped. Otherwise an error is issued.
The output dataset is ungrouped. The observations are not ordered in a dedicated way. In particular, the order of the observations of the input dataset may not be preserved.
For the vaccine ADaM data structures, an overview of the flow and example function calls for the most common steps are provided by the following vignettes:
{admiralvaccine}
also provides template R scripts as a starting point. They can be
created by calling use_ad_template()
from {admiral}, e.g.,
library(admiral)
use_ad_template( adam_name = "adce", save_path = "./ad_adce.R", package = "admiralvaccine" )
A list of all available templates can be obtained by list_all_templates()
from {admiral}:
list_all_templates(package = "admiralvaccine")
Support is provided via the admiral Slack channel.
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