Question

我修改了R Shiny画廊的交互式R Shiny绘图，以绘制交互式标准曲线。我想在不使用ggplot2库的情况下绘制交互式绘图，只使用R基本绘图函数。

library(ggplot2)

XYdata <- data.frame(cbind(Values = c(91.8, 95.3,   99.8,   123.3,  202.9,  619.8,  1214.2, 1519.1, 1509.2, 1523.3, 1595.2, 1625.1),
                           Concn = c(1000, 300,    100,    30, 10, 3,  1,  0.3,    0.1,    0.03,   0.01,   0)))
ui <- fluidPage(
  fluidRow(
    column(width = 6,
           plotOutput("plot1", height = 350,
                      click = "plot1_click",
                      brush = brushOpts(
                        id = "plot1_brush"
                      )
           ),
           actionButton("exclude_toggle", "Toggle points"),
           actionButton("exclude_reset", "Reset")
    )
  )
)

server <- function(input, output) {
  # For storing which rows have been excluded
  vals <- reactiveValues(
    keeprows = rep(TRUE, nrow(XYdata))
  )
  NonScientific <- function(l) {l <- format(l, scientific = FALSE); parse(text=l)}

  output$plot1 <- renderPlot({
    # Plot the kept and excluded points as two separate data sets

    XYdata <- data.frame(cbind(Values = c(91.8, 95.3,   99.8,   123.3,  202.9,  619.8,  1214.2, 1519.1, 1509.2, 1523.3, 1595.2, 1625.1),
                           Concn = c(1000, 300,    100,    30, 10, 3,  1,  0.3,    0.1,    0.03,   0.01,   0)))
    keep    <- XYdata[ vals$keeprows, , drop = FALSE]
    exclude <- XYdata[!vals$keeprows, , drop = FALSE]
    keep <- subset(keep, Concn > 0)
    exclude <- subset(exclude, Concn > 0)
    nls.fit <- nls(Values ~ (ymax* keep$Concn / (ec50 + keep$Concn)) + Ns*keep$Concn + ymin, data=keep,
                   start=list(ymax=max(keep$Values), ymin = min(keep$Values), ec50 = 3, Ns = 0.2045514))
    keep$nls.pred <- fitted(nls.fit)

    ggplot(keep, aes(y = Values,x = Concn))+geom_point(size = 5,colour="red")+
    geom_smooth(method = "loess",fullrange = F, se = T, aes(Concn, nls.pred),size = 1.5,colour="blue1")+
      geom_point(data = exclude, shape = 21, fill = NA, color = "black",size = 5, alpha = 0.7) +
      xlab('Concentration (nM)')+ ylab('Units')+
      scale_x_log10(labels=NonScientific)+ggtitle("Standard Curve")+theme_classic()+
      theme(panel.background = element_rect(colour = "black", size=1),
            plot.margin = margin(1, 3, 0.5, 1, "cm"), 
            plot.title = element_text(hjust = 0, face="bold",color="#993333", size=16),
            axis.title = element_text(face="bold", color="#993333", size=14),
            axis.text.x = element_text(face="bold", color="#666666", size=12),
            axis.text.y = element_text(face="bold", color="#666666", size=12))
  })

  # Toggle points that are clicked
  observeEvent(input$plot1_click, {
    res <- nearPoints(XYdata, input$plot1_click, allRows = TRUE)

    vals$keeprows <- xor(vals$keeprows, res$selected_)
  })

  # Toggle points that are brushed, when button is clicked
  observeEvent(input$exclude_toggle, {
    res <- brushedPoints(XYdata, input$plot1_brush, allRows = TRUE)

    vals$keeprows <- xor(vals$keeprows, res$selected_)
  })

  # Reset all points
  observeEvent(input$exclude_reset, {
    vals$keeprows <- rep(TRUE, nrow(XYdata))
  })

}

shinyApp(ui, server)

我尝试用以下内容替换脚本的绘图部分，但我无法以交互方式绘制。我在这里做错了什么？

 plot(Values ~ Concn, keep, subset = Concn > 0, col = 4, cex = 2, log = "x")
 title(main = "XY Std curve")
 lines(predict(nls.fit, new = list(Concn = Concn)) ~ Concn, keep)
 points(Values ~ Concn, exclude, subset = Concn > 0, col = 1, cex = 2, log = "x")

Answer 1

您必须将import games, random print("Welcome to the world's simplest game!\n") again = None while again != "n": players = [] num = games.ask_number(question = "How many players? (2 - 5): ", low = 2, high = 5) for i in range(num): name = input("Player name: ") score = random.randrange(100) + 1 player = games.Player(name, score) players.append(player) print("\nHere are the game results:") for player in players: print(player) again = games.ask_y_n("\nDo you want to play again? (y/n): ") input("\n\n\t\t\tPress the ENTER key to exit.")和xvar参数添加到yvar：

nearPoints

Answer 2

实施@ HubertL建议让像我这样的人用于交互式绘图，并通过点击或使用鼠标选择点来淘汰异常值：

XYdata <- data.frame(cbind(Values = c(91.8, 95.3,   99.8,   123.3,  202.9,  619.8,  1214.2, 1519.1, 1509.2, 1523.3, 1595.2, 1625.1),
                           Concn = c(1000, 300, 100,30, 10, 3,  1,  0.3,    0.1, 0.03, 0.01, 0)))
ui <- fluidPage(
  fluidRow(
    column(width = 6,
           plotOutput("plot1", height = 350,click = "plot1_click", brush = brushOpts(id = "plot1_brush")),
           actionButton("exclude_toggle", "Toggle points"),
           actionButton("exclude_reset", "Reset")
    )
  )
)

server <- function(input, output) {
  # For storing which rows have been excluded
  vals <- reactiveValues(
    keeprows = rep(TRUE, nrow(XYdata))
  )
  NonScientific <- function(l) {l <- format(l, scientific = FALSE); parse(text=l)}

  output$plot1 <- renderPlot({
    # Plot the kept and excluded points as two separate data sets

    XYdata <- data.frame(cbind(Values = c(91.8, 95.3,   99.8,   123.3,  202.9,  619.8,  1214.2, 1519.1, 1509.2, 1523.3, 1595.2, 1625.1),
                           Concn = c(1000, 300,    100,    30, 10, 3,  1,  0.3,    0.1,    0.03,   0.01,   0)))
    keep    <- XYdata[ vals$keeprows, , drop = FALSE]
    exclude <- XYdata[!vals$keeprows, , drop = FALSE]
    keep <- subset(keep, Concn > 0)
    exclude <- subset(exclude, Concn > 0)
    o <- order(keep$Concn)
    keep <- keep[o, ]
    fo <- Values ~ (ymax* Concn / (ec50 + Concn)) + Ns * Concn + ymin
    st <- list(ymax=max(keep$Values), ymin = min(keep$Values), ec50 = 3, Ns = 0.2045514)
    nls.fit <- nls(fo, data = keep, start = st)
    plot(Values ~ Concn, keep, subset = Concn > 0, type = 'p',pch = 16,cex = 2, axes = FALSE, frame.plot = TRUE,log = "x")
    title(main = "Interactive Std curve")
    logRange <- with(keep, log(range(Concn[Concn > 0])))
    x <- exp(seq(logRange[1], logRange[2], length = 250))
    lines(x, predict(nls.fit, new = list(Concn = x)))
    points(Values ~ Concn, exclude, subset = Concn > 0, col = 1, cex = 2)
    my.at <- 10^(-2:3)
    axis(1, at = my.at, labels = formatC(my.at, format = "fg"))
    axis(2)
  })

  # Toggle points that are clicked
  observeEvent(input$plot1_click, {

    res <- nearPoints(XYdata, input$plot1_click, xvar="Concn", yvar="Values", allRows = TRUE)
    vals$keeprows <- xor(vals$keeprows, res$selected_)
  })

  # Toggle points that are brushed, when button is clicked
  observeEvent(input$exclude_toggle, {
    res <- brushedPoints(XYdata, input$plot1_brush, allRows = TRUE)

    vals$keeprows <- xor(vals$keeprows, res$selected_)
  })

  # Reset all points
  observeEvent(input$exclude_reset, {
    vals$keeprows <- rep(TRUE, nrow(XYdata))
  })

}

shinyApp(ui, server)

使用和不使用ggplot的交互式R Shiny图

2 个答案: