regression - How to create interactive dummy in Shiny -


i'm trying create shiny application interactive regressions. idea select variables , according these created dummys perform regression.

but when try create dummy, variable has zeros , regression turns out naive model. ideas?

this image of application, regression model has intercept , doesnt chagen when change options

this code 

require(shiny) puntaje_2016_1 <- read_dta("e:/evaluacion/bases/puntaje 2016-1.dta")  datas <- data.frame(depto = c(puntaje_2016_1$estu_reside_depto), mun =  c(puntaje_2016_1$estu_reside_mcpio) , cole = c(puntaje_2016_1$cole_nombre_sede) )  runapp(list( ui = fluidpage( sidebarpanel(   selectinput("depto", "deptos", choices = levels(datas$depto), selected = levels(datas$depto)[1]),   selectinput("mun", "municipios", choices = datas$file[datas$depto == levels(datas$depto)[1]], multiple = false),   selectinput("coles", "coles", choices = datas$cole[datas$mun == levels(datas$mun)[1]], multiple = false)                      ), mainpanel(   verbatimtextoutput(outputid = "regsum") )  ),   server = function(input, output, session) { rv<-reactivevalues(m=data.frame(puntaje_2016_1)) observe({   depto <- input$depto   updateselectinput(session, "mun", choices = datas$mun[datas$depto == depto])

here try create interactive dummys variables

     rv$c<-reactivevalues(a=ifelse(puntaje_2016_1$estu_reside_depto == "depto",1,0))    }) observe({   mun <- input$mun   updateselectinput(session, "coles", choices = datas$cole[datas$mun == mun]) })

here make regression between fixed dependet var , interactive independent variable

 lm1 <- reactive({lm(rv$m$punt_matematicas ~ rv$c$a)}) output$regsum <- renderprint(summary(lm1()))   }  ))

thanks


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