This is the freesearcheR data analysis tool. We intend the freesearcheR to be a powerful and free tool for easy data evaluation and analysis at the hands of the clinician.
By intention, this tool has been designed to be simple to use with a minimum of mandatory options to keep the workflow streamlined, while also including a few options to go even further.
There are some simple steps to go through (see corresponding tabs in the top):
Import data (a spreadsheet/file on your machine, direct export from a REDCap server, or a local file provided with a package) to get started.
Inspec of data modification (change variable classes and creating categorical variables (factors) from numeric or time data)
Data analysis of cross-sectionally designed studies (more study designs are planned to be included)
Classic baseline charactieristics (options to stratify and compare variables)
Linear, dichotomous or ordinal logistic regression will be used depending on specified outcome variable
Evaluation of model assumptions
Export the the analyses results for MS Word or LibreOffice as well as the data with preserved metadata.
Have a look at the documentations page for further project description. If you’re interested in the source code, then go on, have a look!
If you encounter anything strange or the app doesn’t act as expected. Please report on Github.