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r- 如何在 image.plot 中编辑 x 轴上的元素

[英]r- how to edit elements on x axis in image.plot

I have created a image plot for this data:我为此数据创建了一个图像图:

sample
         p         p.1         p.2         p.3         p.4
  p    1.0000000  0.24077171 -0.66666667 -0.49009803  0.61237244
  p.1  0.2407717  1.00000000  0.09028939 -0.83444087  0.14744196
  p.2 -0.6666667  0.09028939  1.00000000  0.21004201  0.10206207
  p.3 -0.4900980 -0.83444087  0.21004201  1.00000000 -0.08574929
  p.4  0.6123724  0.14744196  0.10206207 -0.08574929  1.00000000

Using this code:使用此代码:

  image.plot(sample,col=redblue(191), zlim=c(-1,1))

I get this image:我得到这个图像:

Instead of 0.0 0.2 0.4.. on x and y axes, I want p p.1 p.2... How do I get that that?而不是 0.0 0.2 0.4.. 在 x 和 y 轴上,我想要 p p.1 p.2 ... 我如何得到那个? Thank you for your time and consideration?感谢您的时间和考虑?

My heatmap looks like this:我的热图如下所示:

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its not symmetric.它不对称。 Can you please fix this?你能解决这个问题吗? I am using this code:我正在使用此代码:

shades=c(seq(-1,-0.5,length=64), seq(-0.5,0.5, length=64), seq(0.5,1,length=64))阴影=c(seq(-1,-0.5,length=64),seq(-0.5,0.5,length=64),seq(0.5,1,length=64))
heatmap.2(sample, dendrogram='none', symm=TRUE, Rowv=FALSE, Colv=FALSE, key=TRUE, cexCol=0.7, cexRow=1,scale="row", keysize=1, col=redblue(191), breaks=shades) heatmap.2(sample, dendrogram='none', symm=TRUE, Rowv=FALSE, Colv=FALSE, key=TRUE, cexCol=0.7, cexRow=1,scale="row", keysize=1, col=redblue(第 191 页)

Here is a better-ish solution:这是一个更好的解决方案:

 par(mar=c(5,4.5,4,7))
 image(sample, col=rainbow(25), axes=F)  #redblue() doesn't work on my computer.
 axis(2)
 axis(1, at=seq(0,0.8,0.2), labels=rownames(sample))
 image.plot(sample, legend.only=T)

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EDIT: Does the plot below look like what you are looking for?编辑:下面的情节看起来像你要找的吗?

 sample = cor(matrix(rnorm(400), nrow=20))
 image(cor(matrix(rnorm(400), nrow=20)), axes=F)
 mtext(text=c(paste("country",1:21)), side=2, line=0.3, at=seq(0,1,0.05), las=1, cex=0.8)
 mtext(text=c(paste("country",1:21)), side=1, line=0.3, at=seq(0,1,0.05), las=2, cex=0.8)
 image.plot(sample, legend.only=T)

在此处输入图片说明

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