设置并保存ggplots以便以后显示

问题描述

我有一堆代码，这些代码循环遍历一堆数据以产生一系列汇总指标.我还想生成一系列图，然后将其放入循环外的选择网格中.在R中可以吗?

I have a bunch of code that loops through a heap of data to produce a series of summary metrics. I also want to generate a series of plots that I can then put into a grid of my choosing outside the loop. Is this possible in R?

这是我的意思的一个非常简单的例子

Here's a very simple example of what I mean

it = 0
while (it < 5){
  myX = runif(10)
  myY = runif(10)
  df = data.frame(x,y)
  plt[it] = ggplot(data = df, aes(myX, myY)) + geom_point(size = 2, color = "blue")
  it = it + 1
}

然后我想将plt组织成一个网格

I then want to organise the plt into a grid

(尽管这似乎不产生图表，但不确定为什么)

(although this does not seem to produce the plots, not sure why)

然后，我可以通过调用plt [2]或其他任何东西来显示每个图，将它们放置在网格中，进行组织等.我是ggplot的新手，并且只有基本的R用户，因此如果我不了解明显的内容，深表歉意.甚至不确定使用哪种语言进行搜索.

I would then be able to display each of the plots, put them in a grid, organise them etc. by calling the plt[2] or whatever. I'm very new to ggplot and only a basic R user, so apologies if I'm missing the obvious. Not even sure what language to use to search for this.

也很高兴得知这是一个不好的方法，并且有更好的方法来创建情节.我想在循环外进行操作，因为我想在决定如何排列结果之前先检查一下结果.

Also happy to be told this is a bad approach and there's a better way to create the plots. I want to do it outside the loop as I want to examine the results before deciding how to arrange them.

推荐答案

您可以将结果存储在列表中.要更正 while 循环，您可以执行以下操作:

You could store the results in a list. To correct your while loop you can do :

library(ggplot2)
plt <- vector('list', 4)
it = 1
while (it < 5){
  myX = runif(10)
  myY = runif(10)
  df = data.frame(myX,myY)
  plt[[it]] = ggplot(data = df, aes(myX, myY)) +
                     geom_point(size = 2, color = "blue")
  it = it + 1
}

---

另一种方法是编写一个函数，并使用 replicate 对其调用 n 次.

create_plot <- function() {
  myX = runif(10)
  myY = runif(10)
  df = data.frame(myX,myY)
  ggplot(data = df, aes(myX, myY)) + geom_point(size = 2, color = "blue")
}
plt <- replicate(4, create_plot(), simplify = FALSE)

您可以使用 plt [[1]] ， plt [[2]] 等访问单个图.

You could access individual plots with plt[[1]], plt[[2]] and so on.

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