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Use compare~Groups to explore and summarise your epidemiological data in R


compare~Groups is an R package designed to read, interpret, summarise, display and analyse epidemiological data. 

compare~Groups allows you to create everything from data summaries for quality control to extensive reports for exploring your data with colleagues, and even publication-ready tables and figures (see this example).





About Us
compare
~Groups

 is developed and maintained by Isaac Subirana, Hector Sanz, Joan Vila and collaborators at the cardiovascular epidemiology research unit (URLEC), located at Barcelona Biomedical Research Park.



https://www.regicor.org
As the driving force behind the REGICOR study, URLEC has extensive experience in statistical epidemiology, and is a national reference centre for research into cardiovascular diseases and their risk factors.




Get compare~Groups

Download the latest version of compare~Groups from CRAN.



Or get it from
Github repository by typing:
library(devtools)
install_github("isubirana/compareGroups")


https://github.com/isubirana/compareGroups


Help

Manual Consult the details of each of the functions contained in the package.

Vignette Need a little help getting started? This vignette contains several fully worked practical examples, including new functionality from the latest version.

  News

Version 4.0 now available

+ 'tibble' data sets.
    compareGroups can handle 'tibble' data sets
    possibly imported by 'haven', 'readxl', 'readr',
    etc. or to be used by 'tydiverse' and 'dplyr'
    packages.


+ new function 'descrTable'
    to build descriptive tables in one step.

+ new function 'strataTable'
    to make tables by stratas.

+ Date variables
    are correctly reported.

+ New argument 'var.equal'
    to choose whether variance homogeneity
    when comparing means in more than two
    groups.


+ package vignette updated.


Version 2 now available!

'radiograph' your database

    Quickly get an extensive report of your
    data's quality to facilitate error checking


+ more detailed reporting
    Get a more extensive report on each of your
    variables, including extended metrics and figures


+ object retrieval
     Easily retrieve summary data as R-objects

+ genetic data
    Finally, compare~Groups now interprets,
    summarises, and analyses genetic data!


WUI now live!
web user interface
    Not an R-user? Want to impress your
    colleagues by analysing their data from your        smartphone or tablet? Our new web-based
    interface gives you the power
    of compare~Groups without the
    technical hurdles! 




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compareGroups_vignette.html
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Isaac Subirana,
Jan 29, 2018, 12:24 AM
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