如何制作一个可笑的广泛情节 [英] How to do a ridiculously wide plot

问题描述

我有一个很长的时间序列，我想可视化 10000 个观察结果.问题是，如果我只是正常绘制它，时间维度将被压缩，并且我想要可视化的时间序列的任何细节都不会明显.例如:

I have a long time series of 10000 observations that I want to visualize. The problem is, if I just plot it normally the time-dimension will be squished and none of the fine detail of the time-series that I want to visualize will be apparent. For example:

 plot((sin(1:10000/100)+rnorm(10000)/5),type='l')

我想要的是在不使用 par(mfrow=c(1,100)) 的情况下，以某种方式在一个巨大的长图中并排绘制以下内容.然后我想导出这个非常广泛的情节，并简单地滚动以可视化整个系列.

What I would like is to somehow plot the following together side by side in one gigantically long plot without using par(mfrow=c(1,100)). I then want to export this very wide plot and simply scroll across to vizualise the whole series.

 plot((sin(1:10000/100)+rnorm(10000)/5)[1:100],type='l')
 plot((sin(1:10000/100)+rnorm(10000)/5)[101:200],type='l')
 plot((sin(1:10000/100)+rnorm(10000)/5)[201:300],type='l')
 .....

最终，我希望用 par(mfrow=c(4,1)) 将 3 或 4 个这些巨大的地块重叠在一起.

Eventually I would like to have 3 or 4 of these gigantically wide plots on top of each other with a par(mfrow=c(4,1)).

我知道答案与 par 中的 pin 设置有关，但我不断收到 Error in plot.new() : plot region太大.我猜这与 pin 与其他 par 参数的交互有关

I know that the answer has something to do with the pin setting in par, but I keep getting Error in plot.new() : plot region too large. I'm guessing this has something to do with the interaction of pin with the other par parameters

如果我们能够获得完全正确的像素高度和宽度，就会获得奖励积分.由于导出大小不完美，绘图最好不要跳过随机像素.

如果图像可以在 .html 中编码，则可以进一步加分.并以这种方式查看

Further bonus points if the image can be encoded in a .html. and viewed this way

推荐答案

您可能考虑的另一种替代方案是 svg，它在任何情况下都会产生比 png/jpeg 更好的质量.

An alternative that you might consider is svg, which will produce something of better quality than png/jpeg in any case.

类似的东西

svg(width = 2000, height = 7)
par(mfrow=c(4,1), mar = c(4, 4, 0, 2))
for (i in 1:4){
    plot((sin(1:10000/100)+rnorm(10000)/5),type='l', 
         bty = "l", xaxs = "i")
}
dev.off()

将生成一个非常宽的绘图，大小仅超过 1MB，这在 Chrome 中呈现得非常好.

will produce a very wide plot, just over 1MB in size, which renders quite nicely in Chrome.

注意这里的宽度和高度以英寸为单位.

Note the width and height are in inches here.

P.S. svg 还提供了交互式图形的潜力.刚刚看到一个很好的例子，允许用户选择一个长时间序列的区域进行放大，参见 Dynamic and Interactive R Graphics for the Web: The gridSVG Package，Paul Murrell 和西蒙·波特.

P.S. svg also offers the potential for interactive graphics. Just seen a nice example allowing the user to select a region of a long time series to zoom in on, see Figure 22 in Dynamic and Interactive R Graphics for the Web: The gridSVG Package, a draft paper by Paul Murrell and Simon Potter.

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