R++ is an ergonomic statistical analysis software designed by doctors, for doctors. Easy to use, it enables doctors and medical students to swiftly perform statistical analyses and independently publish high-level results.
Request a free trialR++ is an ergonomic statistical analysis software designed by doctors, specifically to help in their clinical research. Whether you're an independent practitioner or part of a public or private healthcare organisation, R++ adapts to your needs.
You spend most of your day in the operating theatre or consultations, and you squeeze conducting research into the little time you have left. You're already a medical expert, you don't have the time to be a statistician as well. You can’t afford to waste hours chasing data outliers from poorly completed questionnaires or flipping through textbooks and program manuals for the right command line. What you need is a statistical test, a ROC curve, or a Cox model – quickly and without having to become a programmer.
You’re eager to advance research – whether to bolster your university hospital’s reputation or secure vital funding. But with many teams understaffed and doctors stretched thin, finding the time for research can feel impossible. Adding to the challenge, biostatisticians are increasingly difficult and costly to recruit, and research support services are often under-resourced, leading to delays or an inability to handle all statistical research projects. These hurdles make securing funding and completing your research more challenging than ever.
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Data cleansing is a crucial yet often overlooked step in research - R++ makes it easy and efficient. With its powerful set of tools, you can clean your database quickly and effectively.
Correlation, Chi-squared, Student's t-test, rank tests... You may know many statistical tests, but deciding which one to use in each situation isn’t always straightforward.
With R++, the built-in AI takes the guesswork out by automatically selecting the right test for your variables, so you can focus on what matters most — your research.
Creating a ROC curve doesn’t have to be complex. With R++, all you need is a variable for Diseased/Non-Diseased (or Condition Present/Condition Absent) and a predictive variable. One click to select the first, another to choose the second, and you instantly generate your ROC curve with all the relevant indices and confidence intervals.
The same simplicity applies to survival analysis, Cox models, logistic regression, and linear regression. With R++, powerful statistical modelling is just two clicks away.
When it comes to taste, there's no debate – and even less with reviewers! R++ generates graphs, but gives you full control to adjust fonts, colours, and even the type of graph, all in just a few clicks.
A reviewer asks you to remove the "alpha channel" or adjust the DPI? No problem! In R++, it’s as simple as unchecking a box.
Journals often request that the first table in your article presents a comparison between the intervention and control groups. For example, in Group A, you may have 41% men and an average age of 62.7, while in Group B, it’s 39% men with an average age of 63.2.
R++ makes it straightforward to create this table. Simply click on the group variable, select the variables to compare, and your Table 1 is automatically generated. Then, it’s just a matter of dragging and dropping the table directly into your article.
Whether you're a doctor, part of an independent practice, or working in a public sector healthcare facility, we offer flexible plans designed to suit your needs and budget.
Find the perfect plan for you with flexible pricing options designed to meet your unique requirements.
The best thing about R++ is having a team that genuinely listens to our needs
I'm bad at stats, I hate stats. R++ (almost) made me enjoy stats!
It's intuitive, enjoyable to use and has helped save me valuable time. Give it a go!
