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| library(shiny) | |
| shinyServer(function(input,output,session){ | |
| dt1 <- reactive({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| }) | |
| dt2 <- reactive({ | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| }) | |
| observe({ | |
| updateSelectInput(session, "variable", choices=names(dt1())) | |
| }) | |
| observe({ | |
| updateSelectInput(session, "variable", choices=names(dt2())) | |
| }) | |
| observeEvent(input$variable, { | |
| column_levels <- as.character(sort(unique(dt1()[[input$variable]]))) | |
| updateSelectInput(session, "niveles", choices = column_levels) | |
| }) | |
| observeEvent(input$variable, { | |
| column_levels <- as.character(sort(unique(dt2()[[input$variable]]))) | |
| updateSelectInput(session, "niveles", choices = column_levels) | |
| }) | |
| output$inputData1 <- renderTable({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| dt1 | |
| }) | |
| output$inputData2 <- renderTable({ | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| dt2 | |
| }) | |
| output$consolidado <- renderTable({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| y1 <- na.omit(dt1[, input$variable]) # Para sacar los NA de la variable | |
| y2 <- na.omit(dt2[, input$variable]) | |
| tabla1 <- table(y1) | |
| tabla2 <- table(y2) | |
| x1 <- tabla1[input$niveles] | |
| x2 <- tabla2[input$niveles] | |
| n1 <- sum(tabla1) | |
| n2 <- sum(tabla2) | |
| res <- cbind(c(x1, x2), c(n1, n2), c(x1, x2)/c(n1, n2)) | |
| colnames(res) <- c('Número de éxitos', | |
| 'Número de casos', | |
| 'Proporción observada') | |
| rownames(res) <- c('Base de datos # 1', 'Base de datos # 2') | |
| res | |
| }, align='c', rownames=TRUE, bordered=TRUE, digits=4) | |
| output$appPlot <- renderPlot({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| # Creando la particion | |
| par(mfrow=c(1, 2)) | |
| # Primer barplot | |
| Niveles <- na.omit(dt1[, input$variable]) # Para sacar los NA de la variable | |
| tabla <- table(Niveles) | |
| ptabla <- prop.table(tabla) | |
| xx <- barplot(ptabla, las=1, col='deepskyblue3', | |
| ylab='Frecuencia relativa', | |
| xlab='Niveles', ylim=c(0, max(ptabla)+0.1), | |
| main='Base de datos # 1') | |
| text(x=xx, y=ptabla, pos=3, cex=0.8, col="black", | |
| label=round(ptabla, 4)) | |
| # Segundo barplot | |
| Niveles <- na.omit(dt2[, input$variable]) # Para sacar los NA de la variable | |
| tabla <- table(Niveles) | |
| ptabla <- prop.table(tabla) | |
| xx <- barplot(ptabla, las=1, col='deepskyblue3', | |
| ylab='Frecuencia relativa', | |
| xlab='Niveles', ylim=c(0, max(ptabla)+0.1), | |
| main='Base de datos # 2') | |
| text(x=xx, y=ptabla, pos=3, cex=0.8, col="black", | |
| label=round(ptabla, 4)) | |
| }) | |
| output$resul1 <- renderText({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| y1 <- na.omit(dt1[, input$variable]) # Para sacar los NA de la variable | |
| y2 <- na.omit(dt2[, input$variable]) | |
| tabla1 <- table(y1) | |
| tabla2 <- table(y2) | |
| x1 <- tabla1[input$niveles] | |
| x2 <- tabla2[input$niveles] | |
| n1 <- sum(tabla1) | |
| n2 <- sum(tabla2) | |
| ph <- prop.test(x=c(x1, x2), n=c(n1, n2), | |
| alternative=input$h0, | |
| conf.level=input$alfa, | |
| correct=input$correct) | |
| ph$statistic <- sign(ph$estimate[1] - ph$estimate[2]) * sqrt(ph$statistic) | |
| paste0('El estadístico de prueba es z0=', round(ph$statistic, 4), | |
| ' con un valor-P de ', round(ph$p.value, 2), '.') | |
| }) | |
| output$resul2 <- renderText({ | |
| inFile <- input$file1 | |
| if(is.null(inFile)) | |
| dt1 <- read.table('datos1.txt', header=T, sep='\t') | |
| else dt1 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| inFile <- input$file2 | |
| if(is.null(inFile)) | |
| dt2 <- read.table('datos2.txt', header=T, sep='\t') | |
| else dt2 <- read.csv(inFile$datapath, header=input$header, | |
| sep=input$sep) | |
| y1 <- na.omit(dt1[, input$variable]) # Para sacar los NA de la variable | |
| y2 <- na.omit(dt2[, input$variable]) | |
| tabla1 <- table(y1) | |
| tabla2 <- table(y2) | |
| x1 <- tabla1[input$niveles] | |
| x2 <- tabla2[input$niveles] | |
| n1 <- sum(tabla1) | |
| n2 <- sum(tabla2) | |
| ph <- prop.test(x=c(x1, x2), n=c(n1, n2), | |
| alternative=input$h0, | |
| conf.level=input$alfa, | |
| correct=input$correct) | |
| intervalo <- paste("(", round(ph$conf.int[1], digits=4), | |
| ", ", | |
| round(ph$conf.int[2], digits=4), | |
| ").", sep='') | |
| paste0('El intervalo de confianza del ', 100*input$alfa, | |
| '% para proporción poblacional es ', | |
| intervalo) | |
| }) | |
| }) | |