knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
library("badger")
cat( badge_github_actions(), badge_codecov("helseprofil/orgdata"), badge_lifecycle("stable", "green"), badge_github_version("helseprofil/orgdata", "blue") )
Cleaning, restructuring and aggregating ORiGinal DATA into a preferred dataset.
The easiest way to install orgdata is to use the procedure decribed in the manual.
Update to new version or install the development version via orgdata
.
orgdata::update_khpackage("orgdata") # install development versjon orgdata::update_khpackage("orgdata", branch = "dev")
To implement the specifications per file group as being registered in the
database can be done using make_file()
function.
library(orgdata) # All files under BEFOLKNING group dt <- make_file("BEFOLKNING") # Select files with KOBLID dt <- make_file("BEFOLKNING", koblid = 48) dt <- make_file("BEFOLKNING", koblid = c(48, 72)) # Select files without KOBLID dt <- make_file("BEFOLKNING", select = 1) #select the first valid file dt <- make_file("BEFOLKNING", select = "last") #select the most recent file
Use function make_filegroups()
to process multiple file groups at once.
make_filegroups(BEFOLKNING, LESEFERD, NEET)
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