R is a language, and a very good one: free, open source, and the reference implementation behind much of modern statistics. The problem was never R — it is that a script is not the right interface for everyone. Magic Stat runs the analysis from a spreadsheet and hands back the figure, the table and the report.
R is free, open source, and the place where most modern statistical methods are first implemented. A script is also an unusually honest record of an analysis: it shows every decision, and it can be re-run. If you already write R comfortably, there is no reason to stop, and this page is not trying to convince you to.
The gap Magic Stat aims at is a different one. A large share of researchers did not choose R — a co-author, a supervisor or a previous student wrote the script, and they now have to run it, change a variable name, and turn the output into a table for a manuscript. That is a workflow problem, not a statistical one, and it is the one this application is built around.
So the honest framing is not "R versus Magic Stat". It is: if the script is the point, use R. If the manuscript is the point and the script is the obstacle, that is where Magic Stat sits.
In the box: descriptive statistics · t-tests and nonparametric tests · ANOVA, ANCOVA, MANOVA and repeated measures · post-hoc tests and planned contrasts · correlation · linear, robust, polynomial, nonlinear and dose-response regression · logistic, Poisson and multinomial regression · GLM and GAM · mixed models and GEE · SEM (CB-SEM and PLS-SEM) and psychometrics · meta-analysis and power analysis · time series · Bayesian tests · contingency and log-linear models · clustering and discriminant/PLS-DA · multivariate ordination · ecology (PERMANOVA, ANOSIM, Mantel) · medical statistics (ROC/AUC, survival, Cox) · econometrics · spatial analysis.
Not in the box: a script or a syntax file. Magic Stat is a GUI, not a code generator — it records the method and the settings in the report, but it does not emit R code. If the code itself is what you need, that is a reason to use R.
No. If you write R comfortably, R is free, open source and more flexible than any GUI. Magic Stat is for the people around the script, not a reason to abandon it.
No. The point of the application is that the analysis is a dialog, not a script.
No. It records the method and the settings in an automatic report, and it saves the figure and the table, but it does not generate an R script. If a re-runnable script is the requirement, that is a reason to use R.
No. There is a free 48-hour trial with no credit card, then US$990 per year. R — and JASP and jamovi — are free and genuinely good; if budget is the deciding factor, they are the honest recommendation.
No, and it does not pretend to. R has thousands of packages for methods no GUI will ever include. For the standard analyses of a research paper the coverage is broad; for a niche method, check the list first.