Question

我有以下数据，我正在尝试在3个股票代码中构建for loop;

symbols <- c("HOG", "GE", "GOOG")

我有以下ggplot。我想做两件事。

1）在ggplot

中的所有三个符号上运行symbols

2）更改每个ggplot的标题以包含正确的符号名称

使用下面的GOOG的示例。

library(ggplot2)
ggplot(subset(NFO_WCAnalysis, Ticker %in% c("GOOG"))) +
  geom_line(aes(Date, NFO, group = Ticker, colour = "Blue")) +
  geom_line(aes(Date, WC, group = Ticker, colour = "Red")) +
  labs(title="NFO and WC plot GOOG", x="Date", y="NFO / WC") +
  scale_color_manual(labels = c("NFO", "WC"), values = c("Blue", "Red")) +
  theme_bw() +
  guides(color=guide_legend("Legend"))

数据。（如果有必要，我可以在for loop发布我的尝试）我也愿意使用基本情节功能而不是ggplot。

structure(list(Ticker = c("GOOG", "GOOG", "GOOG", "GOOG", "GE", 
"GE", "GE", "GE", "HOG", "HOG", "HOG", "HOG"), Date = c(2017, 
2016, 2015, 2014, 2017, 2016, 2015, 2014, 2017, 2016, 2015, 2014
), REC = c(18705, 14232, 13909, 10849, 24438, 24076, 27022, 23237, 
2435.65, 2361.37, 2300.99, 2164.26), INV = c(749, 268, 0, 0, 
21923, 22354, 22515, 17689, 538.2, 499.92, 585.91, 448.87), OtherCurrentAssetsNotCash = c(80, 
596, 628, 852, 0, 0, 0, 0, 223.37, 227.06, 323.59, 370.96), Payables = c(3137, 
2041, 1931, 1715, 15153, 14435, 13680, 12067, 227.6, 235.32, 
235.61, 196.87), SpontaneousFunsIncDeftaxes = c(21476, 14941, 
14343, 13813, 19514, 18867, 17943, 14854, 529.82, 486.65, 471.97, 
449.32), NFO = c(-5079, -1886, -1737, -3827, 11694, 13128, 17914, 
14005, 2439.8, 2366.38, 2502.91, 2337.9), LTD = c(3969, 3935, 
1995, 3228, 110555, 105497, 147742, 190999, 4587.26, 4666.98, 
4832.47, 3761.53), EQ = c(152502, 139036, 120331, 103860, 64264, 
75827, 98273, 128158, 1844.28, 1920.16, 1839.65, 2909.29), OtherLongTermLiabilities = c(16211, 
7544, 5636, 4562, 144423, 119843, 165573, 238451, 382.97, 440.55, 
553.55, 468), FA = c(72987, 62089, 57347, 50531, 377945, 365183, 
493071, 654954, 6087.93, 6036.39, 5995.1, 5580.01), WC = c(99695, 
88426, 70615, 61119, -58703, -64016, -81483, -97346, 726.58, 
991.3, 1230.57, 1558.81), CreditPlusCashMinus = c(-104774, -90312, 
-72352, -64946, 70397, 77144, 99397, 111351, 1713.22, 1375.08, 
1272.34, 779.090000000001)), .Names = c("Ticker", "Date", "REC", 
"INV", "OtherCurrentAssetsNotCash", "Payables", "SpontaneousFunsIncDeftaxes", 
"NFO", "LTD", "EQ", "OtherLongTermLiabilities", "FA", "WC", "CreditPlusCashMinus"
), row.names = c(NA, -12L), class = "data.frame")

Answer 1

我认为这里最好的方法是创建一个ggplot个对象的列表，然后只替换你当前拥有的文本。

这就是我的意思：

#This will store all our ggplot objects, not necessary, but this gives us some extra flexibility
plotList <- list()

#This will loop through each of the symbol names
for(symbol in symbols){

    #What you had before, but with minor changes
    plotList[[symbol]] <- ggplot(subset(NFO_WCAnalysis, Ticker %in% symbol)) +
      geom_line(aes(Date, NFO, group = Ticker, colour = "Blue")) +
      geom_line(aes(Date, WC, group = Ticker, colour = "Red")) +
      labs(title=paste0("NFO and WC plot ", symbol), x="Date", y="NFO / WC") +
      scale_color_manual(labels = c("NFO", "WC"), values = c("Blue", "Red")) +
      theme_bw() +
      guides(color=guide_legend("Legend"))

}

请注意，绘图命令中的所有不同之处在于“GOOG”已被symbol替换，paste0是它循环的对象。在标题参数中，我刚刚使用plotList[[symbol]]操作将符号名称与您想要的其他文本连接起来。

对象存储在plotList[["GOOG"]]中，您现在可以使用plotList[[1]]或任何您想要的符号名称来调用它们。）

因为它是一个列表，你也可以按顺序使用它，例如for(i in 1:3){ print(plotList[[i]]) }。这意味着如果您以后想要也可以循环打印，或者只是抓住您想要的那些。

e.g。

plotList[[symbol]] <-

如果您只想在第一时间立即绘制内容，可以放弃ggplot位并将print命令中的所有{{1}}指令包装起来，这样就可以了同样的工作。

祝你好运！

Answer 2

只需要进行一些更改：

for(symbol in symbols)
  print(ggplot(subset(NFO_WCAnalysis, Ticker %in% symbol)) +
          geom_line(aes(Date, NFO, group = Ticker, colour = "Blue")) +
          geom_line(aes(Date, WC, group = Ticker, colour = "Red")) +
          labs(title= paste("NFO and WC plot", symbol), x = "Date", y = "NFO / WC") +
          scale_color_manual(labels = c("NFO", "WC"), values = c("Blue", "Red")) +
          theme_bw() +
          guides(color = guide_legend("Legend")))

Answer 3

我从编写一个函数开始。我也会从宽长格式转换数据，这对ggplot来说效果更好：

library(tidyverse)

plotSymbol <- function(data, symbol) {
  data %>%
    filter(Ticker == symbol) %>%
    select(Date, NFO, WC) %>%
    gather(variable,value, -Date) %>%
    ggplot(aes(Date, value)) + 
      geom_line(aes(color = variable, group = variable)) +
      labs(title = paste("NFO and WC plot", symbol),
           y = "NFO, WC") +
      scale_color_manual(values = c("blue", "red")) +
      theme_bw()
}

现在您可以运行，例如：

plotSymbol(NFO_WCAnalysis, "GOOG")

而不是循环，您可以使用lapply生成ggplot个对象列表，每个符号一个：

plots <- lapply(symbols, function(x) plotSymbol(NFO_WCAnalysis, x))

现在，您可以使用列表plots执行任何操作。例如，通过对代码进行一些修改，可以使用符号作为文件名的一部分写入PNG文件。

用于循环多个ggplot图

3 个答案: