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如何使用 dyCandlestick. 数据有列"timestamp", "open", "high", "low", "close", "volume", "mean_value", "ma_20", "ma_50"。下面的代码给了我一个正确的烛台图。

  library(tidyverse)
  dt <- read_csv("https://raw.githubusercontent.com/amandeepfj/RawData/master/top_rows.csv")

  dt.dy <- xts::xts(x = dt[, c("open", "high", "low", "close")], 
                    order.by = as.POSIXct(dt$timestamp))

  dygraph(dt.dy) %>%
    dyCandlestick() %>% 
    dyRangeSelector()

我想在同一个中显示ma_20& 。我试图 pipe( ) ,但它不起作用。ma_50dygraph%>%dySeries

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1 回答 1

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您可以在图形数据中组合移动平均系列:dt.dy。

library(dygraphs)
dt <-read_csv("https://raw.githubusercontent.com/amandeepfj/RawData/master/top_rows.csv")
dt.dy <- xts::xts(x = dt[, c("open", "high", "low", "close", "ma_20", "ma_50")], order.by = as.POSIXct(dt$timestamp))
dygraph(dt.dy) %>% dyCandlestick() %>% dyRangeSelector()
于 2020-12-22T07:52:39.163 回答