An R Graphical User Interface (GUI) for Everyone

Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit data frames. The goal of the project is two fold.

  1. Provide an intuitive graphical user interface (GUI) for R, encouraging non-technical users to learn and perform analyses without programming getting in their way.
  2. Increase the efficiency of expert R users when performing common tasks by replacing hundreds of keystrokes with a few mouse clicks. Also, as much as possible the GUI should not get in their way if they just want to do some programming.

Deducer is designed to be used with the Java based R console JGR, though it supports a number of other R environments (e.g. Windows RGUI and RTerm).

Download and Install

Join the Help/Discussion Group

Screen shots

Video introduction: New Users Existing R users

Menu Structure

FileDataAnalysisPackages & DataPlots
Open DataEdit FactorFrequenciesData ViewerPlot Builder
Save DataRecode VariablesDescriptives Import Template
 TransformContingency Tables Open Plot
 Reset Row NamesOne Sample Test Templates
 SortTwo Sample Test Interactive
 TransposeK-Sample Test
 Merge DataCorrelation
 SubsetLinear Model
  Logistic Model
  Generalized Linear Model







Extension Packages

An add-on package containing a variety of additional analysis dialogs. These include: Distribution quantiles, single/multiple sample proportion tests, paired t-test, Wilcoxon signed rank test, Levene's test, Bartlett's test, k-means clustering, Hierarchical clustering, factor analysis, and multi-dimensional scaling
Reliability and factor analysis
Moderated multiple regression and simple slopes analysis
A GUI for Spatial Data Analysis and Visualization
Respondent Driven Sampling
(Experimental) A graphical approach to sequentially rejective multiple test procedures
(Experimental) A GUI Generator
(Experimental) Text Mining
(Experimental) An add-on package which covers many methods common in econometrics, including binary logit, binary probit, and tobit estimates, and various time-series, panel, and spatial data methods. The time-series methods include cointegration analysis.

Developer Information