knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
Presuming that orgdata
package has been installed, this is how you can start
using the most important functions.
To aggregate all files under a specific group such as BEFOLKNING group.
library(orgdata) df <- make_file("BEFOLKNING") df
If you are satisfy with the output and no error is shown during the process, you
could save the output ie, object df above, as a .csv
file with:
save_file(df, "BEFOLKNING")
If you are certain that the process has been controlled before and everything
should be working correctly. You could save the output directly as a .csv
file
when running make_file()
function with argument save = TRUE
:
df <- make_file("BEFOLKNING", save = TRUE)
It is advisable to mark the file as KONTROLLERT in the Access Database under
table for original files when you have checked the output. This will ensure
shorter processing time when you re-run make_file()
because it will skip all
the cleaning and recording processes. This is because they are already saved in
the data warehouse. The data warehouse can be found in
../PRODUKSJON/STYRING/raw-khelse/org_database
Aggregating the whole files in a group could take a long time when there are
many files in the selected group. You could select only specific file or files
by selecting the KOBLID
instead. The example below is for selecting one or
few files respectively.
df <- make_file("BEFOLKNING", koblid = 4) df <- make_file("BEFOLKNING", c(4,10,15))
When there is a need to look at the file prior to aggregating it. You could
specify argument aggregate
as FALSE
. The same behavior could also be
achieved by activating it globally via options
.
df <- make_file("BEFOLKNING", aggregate = FALSE) # Global option options(orgdata.aggregate = FALSE) df <- make_file("BEFOLKNING")
By activating it globally using options
, all proceeding processes will not be
aggregated unless it's changed during function call ie. include argument
aggregate = TRUE
, or you reset the global options with:
reset_opt()
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