grafify (version 0.1)
  • grafify plots graphs and performs ANOVAs with post-hoc comparisons, similar to the R package.
  • Uses ggplot2 with colourblind-friendly palettes and supports linear and mixed effects models.
  • Available as a Shiny app at Shinyapps.io and Posit Connect Cloud. Also available as a Shinylive app at mirror 1, and mirror 2 and as a Windows app.
  • Resources: Statistics for biologists and R programming.
  • Privacy: Uploaded user data are processed only during the session and data, graphs or analyses are not retained. For sensitive data, you can install a local version from our GitHub.
  • Usage metrics: With your permission, anonymous analytics (Google Analytics) may be collected to understand usage and allocate computing resources.
  • Developed (launched Mar 2025) and maintained by Avinash R Shenoy. Last updated on: 05 June 2026, 07:46
Start here
Click 'Start' to try example data or first upload your data.


Data & variables
Pick X and Y variables, and an optional Grouping factor, then go Graphs tab

Add more variables to graph
Pick optional faceting or shape variables. Click 'Variables Chosen' to proceed.
Graph choice & X-axis options
Choose graph type and optional settings. Press 'grafify my data' when ready.
Available options:
Order of X-axis groups:
Order of levels in the Grouping variable:
After graphing data, go to ANOVAs tab

                                        

                                        
                                      

                                    

                                  

                                

                                
                                
                                
                              

                              
                            

                          

                        

                      

                    

                  

                

                

                  

                    

                      

                        

                          

                            

                              
                            

                            

                              

                                

                                

                              

                            

                          

                        

                        

                      

                      

                        

                          

                            

                              
Linear models for ANOVA

                              
Choose options, and click 'Analyse my data' to proceed. Diagnostic plots, ANOVA table, estimated marginal means and comparisons will appear below.

                            

                            
                              
                              
                            
                          

                          

                            

                            

                              

                                

                              

                              

                                

                              

                              

                                

                              

                              

                                

                              

                              

                              

                              

                              

                                
                              

                            

                          

                          
                        

                      

                    

                    

                      
                      

                        

                        

                          

                            

                              

                                

                                  

                                    Residuals plots
                                    
                                      
                                      
                                    
                                  

                                  

                                    

                                      

                                        

                                      

                                      

                                        

                                      

                                    

                                  

                                  
                                

                              

                            

                          

                        

                        

                          

                            

                              

                                

                                  

                                    Additional plots 1 (Press 'Analyse my data' if graphs do not appear). Graphs will be faceted by levels of Random factor.
                                    
                                      
                                      
                                    
                                  

                                  

                                    

                                  

                                  
                                

                              

                              

                                

                                  

                                    Additional plots 2 (Press 'Analyse my data' if graphs do not appear). Random factor will be mapped to symbol shapes or size.
                                    
                                      
                                      
                                    
                                  

                                  

                                    

                                  

                                  
                                

                              

                            

                          

                        

                      

                    

                    

                      

                        
                        

                        

                        

                        

                        

                        

                      

                      

                        
                        

                        

                        

                        

                        

                        

                      

                      

                        
                        

                          
                          

                            
                            
                          

                        

                        

                        

                      

                      

                        
                        

                        

                        

                        

                        

                      

                      

                        
                        

                        

                        

                        

                        

                      

                      

                        

                        

                          

                            

                              Linear Model
                              
                                
                                
                              
                            

                          

                          

                            
This is the summary of the fitted model. It shows model parameters, such as residual SE, coefficients etc. For simple or ordinar linear models, grafify uses the lm() function from base R. For mixed effects models, grafify uses the lmer() function from the lme4 and lmerTest packages. 

                            

                            

                          

                          
                        

                      

                      

                        

                        

                          

                            

                              Data used for analyses
                              
                                
                                
                              
                            

                          

                          

                            The table below includes the variables used in the analysis, which were chosen in Boxes 1-3. For Mixed effects analyses, means of replicate values of the response variable, if any, (chosen in Box 2) within levels of the random variable (chosen in Box 9), along with the Median, SD and Counts are shown.
                            

                          

                          
                        

                      

                    

                  

                

              

            

          

        

        

          

            

  

    Note: Quick help also available by hovering over 
    
    icons.