R散布的极坐标图气泡消失

Question

我知道这肯定是基本的事情，但是很难找到问题所在。 这是我简单的可复制的R代码：

library(plotly)

risk_status <- data.frame(
  id <- c(1:6),
  r <- c(1, 2, 3, 4, 3, 2),
  theta <- c(30, 90, 180, 220, 270, 330),
  bubbleSize <- c(10, 20, 30, 40, 50, 60),
  name <- c("Rick","Dan","Michelle","Ryan","Gary", "Pedro"),
  status <- c("Low", "Medium", "Low", "Medium", "Low", "Low")
)

risk_status$status <- factor(risk_status$status, levels = c("Low", "Medium", "High"))
bubble_colors_vector <- c("red", "green", "blue")


p <- plot_ly( data = risk_register_data) %>%
  add_trace(
    type = 'scatterpolar',
    r = ~r,
    theta = ~theta,
    size = as.numeric(risk_status$status),
    sizes = c(100,500)#,

    #color = risk_status$status,
    #colors = bubble_colors_vector
  ) %>%
  add_trace(
    type = "scatterpolar",
    mode = "text",
    r = risk_status$r,
    theta = risk_status$theta,
    text = risk_status$id

  )
p

图表输出：

到目前为止，很好。 但是现在让我们说，如果我想在其中引入颜色，只需取消注释color和colors参数即可。 我得到这张图：

假设我使用color = as.numeric(risk_status$status) 在那种情况下，我得到这样的图表

在这里，我不要这样的规模和传说。

我知道，这是有问题的，因为尽管factoring数据帧的status列中，我提供了"Low", "Medium", "High"作为级别，而在列中仅存在"Low", "Medium"。 但是，这也是正常情况，如果没有颜色，气泡的大小会正确显示，那么为什么在添加颜色时也会缺少大小呢？

预先感谢！

Answer 1

最后， 我通过在add_trace中使用for loop的解决方法解决了该问题。

以下是代码：

library(plotly)

risk_status <- data.frame(
  id <- c(1:6),
  r <- c(1, 2, 3, 4, 3, 2),
  theta <- c(30, 90, 180, 220, 270, 330),
  bubbleSize <- c(10, 20, 30, 40, 50, 60),
  name <- c("Rick","Dan","Michelle","Ryan","Gary", "Pedro"),
  status <- c("Low", "Medium", "Low", "Medium", "Low", "Low")
)

risk_status$status <- factor(risk_status$status, levels = c("Low", "Medium", "High"))
bubble_colors_vector <- c("red", "green", "blue")


p <- plot_ly( data = risk_register_data) %>%

  add_trace(
    type = 'scatterpolar',
    r = risk_status$r[risk_status$status == 'Low'],
    theta = risk_status$theta[risk_status$status == 'Low'],
    #size = as.numeric(risk_status$status[risk_status$status == 'Low']),
    #sizes = c(100,500),

    #color = 'red', #risk_status$status[risk_status$status == 'Low'], #as.numeric(risk_status$status), #risk_status$status,
    #colors = bubble_colors_vector[risk_status$status == 'Low'],

    mode = 'markers',
    marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "red", size=20)
  ) %>%
  add_trace(
    type = 'scatterpolar',
    r = risk_status$r[risk_status$status == 'Medium'],
    theta = risk_status$theta[risk_status$status == 'Medium'],
    #size = as.numeric(risk_status$status[risk_status$status == 'Medium']),
    #sizes = c(100,500),

    #color = 'red', #risk_status$status[risk_status$status == 'Medium'], #as.numeric(risk_status$status), #risk_status$status,
    #colors = bubble_colors_vector[risk_status$status == 'Medium'],

    mode = 'markers',
    marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "yellow", size=20)
  ) %>%

  add_trace(
    type = 'scatterpolar',
    r = risk_status$r[risk_status$status == 'High'],
    theta = risk_status$theta[risk_status$status == 'High'],
    #size = as.numeric(risk_status$status[risk_status$status == 'High']),
    #sizes = c(100,500),

    #color = 'red', #risk_status$status[risk_status$status == 'High'], #as.numeric(risk_status$status), #risk_status$status,
    #colors = bubble_colors_vector[risk_status$status == 'High'],

    mode = 'markers',
    marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "green", size=20)
  ) %>%


  add_trace(
    type = "scatterpolar",
    mode = "text",
    r = risk_status$r,
    theta = risk_status$theta,
    text = risk_status$id

  )
p

输出图：