R++ is an ergonomic statistical data analysis software that is custom designed by and for doctors. Particularly simple to handle, its objective is to allow doctors and interns to efficiently make and publish their own statistical analyses.
Request a free trialOur statistical analysis software has been designed by and for doctors, specifically to help in their clinical research, whether an independent physician or working in an institution.
You are in surgery or the clinic often with little free time. Then in the free time you do have left, you do research. You are already an expert in medicine, but do not have time to become a statistician. You do not have hours to waste chasing data outliers because questionnaires are poorly filled out, or to open a statistics text book or program manual to find the right command line. What you do need is a statistical test, a Roc curve or a Cox model, quickly, without having to become a programmer.
You want to develop research, both for the reputation of your structure and the funding. Unfortunately, many services are understaffed and doctors are overwhelmed, severely limiting the time to devote to research. At the same time, it is increasingly difficult and expensive to recruit biostatisticians, research support services are undersized and may be slow or unable to process all statistical studies. These challenges make funding and completion of studies more difficult.
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Database cleaning is an important and often overlooked task that is made simpler in R++ statistical analysis software. R++ offers you a set of tools to quickly clean your data. For example, the "one-click graph" option displays a global view of your entire database so that any outlier becomes easily apparent. Then, one click to sort the column … and your outliers move up to be corrected.
Correlation, Khi2, Student's t test, rank tests ... You know a lot of statistical tests. But knowing which one to use in which situation is not always easy. With R++, AI automatically selects the right test for your variables.
A ROC curve is not that complicated: you need a Sick / Non-Sick variable, and a predictive variable. With R++, one click to choose the first, one click to choose the second and you get your ROC curves with all the indices and associated confidence intervals. The same goes for survival, the Cox model, logistic regression, and linear regression.
There is no arguing about matters of tastes (and those of the reviewers even less!). R++ produces graphs, but then allows you to choose your desired font, color and even type of graph… all modifiable in just a few clicks. A reviewer asks you to remove the "alpha channel" or change the dpi? Easy! In R++, it's a simple box to uncheck ...
Journals may ask that the first table of your article be a comparison. On one side, you need information about the intervention group, on the other side the control group. For example, in your group A there are 41% men and the average age is 62.7; in your group B there are 39% men and the average age is 63.2. In R++ the calculous is straightforward as R++ includes a Table 1 editor. One click on the group variable, then one click per variable to compare, and your table 1 is built. Then, simply drag & drop, and it's in your article.
Whether you are doctor, private institution, or public hospital, we have offers according to your needs and budget!
Find the formula that suits you best with scalable rates adapted to your situation.
The thing we appreciate most about R++ analysis software is having a team that is very attentive to our requests.
I am bad at stats, I hate stats. R++, it (almost) made me love stats.
It's easy to use and fun. It saves you a lot of time. Do not hesitate!
