R Plotly：拆分圖例：符號和顏色

Question

我為每個數據點“符號”和“名稱”提供了一些數據和兩個類別。 我正在繪制數據並使用不同的符號和顏色映射類別，如下所示。

data <- data.frame(
        x= c(1,2,3,4,5,6,7,8),
        y = c(10,11,10,12,11,9,8,13), 
        symbol = c("invalid", "valid", "invalid",
                   "valid", "valid", "valid","valid", "valid"),
        name = c("A", "B", "B", "A", "A", "A", "B", "B"))


plot_ly(data) %>%
add_markers(y = ~y,  x = ~x,  symbol = ~symbol, color = ~name,
            symbols = c(4, 27),
            mode = 'markers',
            #split = ~name,
            colors = c("red", "navy"))

傳說非常笨拙。

我想將兩個圖例條目與十字架合並，並在圖例中為十字形設置中性色，如下所示：

我嘗試使用split參數，但這沒有幫助。

Answer 1

你可以分三步完成：

1. 繪制有效數據
2. 將所有無效數據繪制為灰色和圖例
3. 在沒有圖例的情況下以顏色繪制所有無效數據

碼：

data$labels <- data$name
levels(data$labels) <- c("A", "B", "invalid")

plot_ly(data, colors = c("red", "navy", "grey")) %>%
  add_markers(y = ~y,  x = ~x, color = ~labels,
              data = data[data$symbol == "valid",],
              symbols = 4,
              mode = 'markers') %>%
  add_markers(y = ~y,  x = ~x,  symbol = ~symbol, 
              color = factor("invalid", levels = c("A", "B", "invalid")),
              data = data[data$symbol == "invalid",],
              symbols = 27,
              mode = 'markers',
              name = 'invalid',
              legendgroup = factor("invalid", levels = c("A", "B", "invalid"))) %>%
  add_markers(y = ~y,  x = ~x,  symbol = ~symbol, color = ~labels,
              data = data[data$symbol == "invalid",],
              symbols = 27,
              mode = 'markers',
              legendgroup = factor("invalid", levels = c("A", "B", "invalid")),
              showlegend = FALSE)

結果：