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...s = names(data())) }) # Assigning user inputs to correct variables selected_columns <- reactive({ req(data(), input$column1, input$column2, input$column3, input$column4) list( dependent = data()[[input$column1]], independent1 = as.factor(data()[[input$column2]]), independent2 = as.factor(data()[[input$column3]]), random = as.factor(data()[[input$column4]]), # Define column names for later use column1 <- input$column1, column2 <- input$column2, column3 <- input$column3, column4 <- input$column4 ) }) # Instructiona...

Why would someone use lm and ANOVA (anova(lm(x))) instead of AOV (or the other way around)? The mean squares and sum of squares are the same, but the F values and p-values are slightly different. I am modeling a dependent~independent1*independent2. Thanks, Matt Bridgman [[alternative HTML version deleted]]