This package is deprecated and unmainted due to of a lack of time of my part. Feel free to fork it.
vartors
is an R package and an acronym for VARiable definition TO R Script skeleton. The idea is to describe explicitly the variables by defining their names, types, levels, labels and others caracteristics and then automaticaly produce R script following a template. It could help to import and clean up data from simple databases.
You could install vartors from a CRAN repository with :
install.packages("vartors")
Or you can download it from GitHub if you have already the devtools
:
devtools::install_github(repo="vartors", username ="jomuller", ref="master")
The development version can be installed from GitHub with the devtools
by typing this line in R :
devtools::install_github(repo="vartors", username ="jomuller", ref="dev")
If you don't have devtools
installed, follow these steps :
devtools
package : install.packages("devtools")
vartors
as describe aboveIf you are behind a proxy you have to add the following lines before :
library(httr)
set_config( use_proxy(
url = "proxy_url", # Change with your proxy URL
port = 8080,
username = "user", # Change with your login
password = "password" # Change with your password
))
Read the documentation with ?vartors
The main functions are create_script
, import_template
, import_vardef
and write_file
. Helpers function are desvars_skeleton
and export_template
.
You are welcome to open issues on the issue page in GitHub.
You are welcome to fork to improve the code and the documentation.
Follow the milestones of this GitHub project to show the release plan.
vartors
was created to speed-up the boring and important importation to R phase in context of the methodology consultations. These methodology consultations are an important part of my daily work. The idea is to help physicians of my hospital to process their data and make great analysis. In our workflow, the physician must come with a database (mainly an Excel file), a description of the variables and a good question. For the moment, we spend too much time to clean up data and not enough to analyse it. That's where `vartors may help.
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