问题描述
我在显示图表时遇到了一些问题。它们是动态添加的：选择的变量越多，绘制的图就越多。问题是没有空间方面的尊重。
这是代码：
dades <- iris
binary_variable <- factor(sample(x = c(0,1),size = nrow(dades),replace = TRUE))
dades <- cbind(iris,binary_variable)
ui <- fluidPage(
column(2,),column(8,fluidRow(
column(4,selectInput("resposta","Dependent variable",choices = names(dades))
),column(4,textInput("explicatives","Independent variables")
),actionButton("executar","Run")
)
),fluidRow(align = "center",verbatimtextoutput("resultat"),uIoUtput("grafics")
)
),column(2,)
)
server <- function(input,output,session) {
model <- reactive({
if(input$executar == 0){
return(invisible(NULL))
}else{
isolate({
resposta2 <- factor(dades[,input$resposta])
etiquetes <- levels(resposta2)
levels(resposta2) <- c(0,1)
resposta2 <- factor(resposta2,levels = c(0,labels = etiquetes)
f <- as.formula(paste0("resposta2 ~ ",input$explicatives))
glm(formula = f,family = binomial,data = dades)
})
}
})
output$resultat <- renderPrint({
if(input$executar == 0){
return(invisible(NULL))
}else{
isolate({
summary(model())
})
}
})
observe({
if(input$executar == 0) {
return(invisible(NULL))
} else {
lapply(names(model()$model)[-1],function(par){
if (is.factor(model()$model[,par]) || is.character(model()$model[,par]) || is.integer(model()$model[,par])) {
taula <- as.data.frame(table(model()$model$resposta2,model()$model[,par]))
p <- plot_ly(taula,x = ~ Var1,y = ~Freq,color = ~Var2,type = "bar") %>%
layout(title = NULL,xaxis = list(title = ""),yaxis = list(title = ""),height = 500,width = 500,inline = TRUE)
output[[paste("plot",par,sep = "_")]] <- renderPlotly({
p
})
} else if (is.numeric(model()$model[,par])){
p <- plot_ly(model()$model,y = ~model()$model[,par],color = ~resposta2,type = "Box") %>%
layout(title = NULL,sep = "_")]] <- renderPlotly({
p
})
}
})
}
})
output$grafics <- renderUI({
if(input$executar == 0) {
return(invisible(NULL))
} else {
plot_output_list <- lapply(names(model()$model)[-1],function(par) {
plotname <- paste("plot",sep = "_")
plotlyOutput(plotname)
})
do.call(flowLayout,plot_output_list)
}
})
}
shinyApp(ui,server)
在“相关变量”输入中，您必须选择“binary_variable”，在“自变量”中输入类似“Sepal.Length + Sepal.Width + Species”的内容。问题是这些情节就像叠加一样，就像它们之间没有足够的空间。我该如何解决这个问题？
解决方法
虽然您不能在 width 中指定 height 和 layout()，但您可以让它autosize。此外，最好将图例放在底部，因为多个图是水平显示的。试试这个
ui <- fluidPage(
column(2,),column(8,fluidRow(
column(4,selectInput("resposta","Dependent variable",choices = names(dades))
),column(4,textInput("explicatives","Independent variables")
),actionButton("executar","Run")
)
),fluidRow(# align = "center",column(12,verbatimTextOutput("resultat")),uiOutput("grafics"))
)
),column(2,)
)
server <- function(input,output,session) {
model <- reactive({
if(input$executar == 0){
return(invisible(NULL))
}else{
isolate({
resposta2 <- factor(dades[,input$resposta])
etiquetes <- levels(resposta2)
levels(resposta2) <- c(0,1)
resposta2 <- factor(resposta2,levels = c(0,1),labels = etiquetes)
f <- as.formula(paste0("resposta2 ~ ",input$explicatives))
glm(formula = f,family = binomial,data = dades)
})
}
})
output$resultat <- renderPrint({
if(input$executar == 0){
return(invisible(NULL))
}else{
isolate({
summary(model())
})
}
})
observe({
if(input$executar == 0) {
return(invisible(NULL))
} else {
lapply(names(model()$model)[-1],function(par){
if (is.factor(model()$model[,par]) || is.character(model()$model[,par]) || is.integer(model()$model[,par])) {
taula <- as.data.frame(table(model()$model$resposta2,model()$model[,par]))
p <- plot_ly(taula,x = ~ Var1,y = ~Freq,color = ~Var2,type = "bar") %>%
layout(legend = list(orientation = "h"),title = NULL,xaxis = list(title = ""),yaxis = list(title = ""),autosize=TRUE )
output[[paste("plot",par,sep = "_")]] <- renderPlotly({
p
})
} else if (is.numeric(model()$model[,par])){
p <- plot_ly(model()$model,y = ~model()$model[,par],color = ~resposta2,type = "box") %>%
layout(legend = list(orientation = "h"),sep = "_")]] <- renderPlotly({
p
})
}
})
}
})
output$grafics <- renderUI({
if(input$executar == 0) {
return(invisible(NULL))
} else {
plot_output_list <- lapply(names(model()$model)[-1],function(par) {
plotname <- paste("plot",sep = "_")
plotlyOutput(plotname)
})
do.call(flowLayout,plot_output_list)
}
})
}
shinyApp(ui,server)
