compare~Groups

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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. 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. The mantainer of compareGroups (Isaac Subirana) is member of CIBERESP (CIBER Epidemiology and public health)	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 *New Web User Interface* + A new WUI hosted in the shiny server and containing the newest compareGroups package facilities such as stratification, confidence intervals of means, medians and proportions,... *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!