R中存在哪些技术来可视化

R中存在哪些技术来可视化

本文介绍了R中存在哪些技术来可视化“距离矩阵"?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我希望在我正在写的文章中展示一个

I wish to present a distance matrix in an article I am writing, and I am looking for good visualization for it.

So far I came across balloon plots (I used it here, but I don't think it will work in this case), heatmaps (here is a nice example, but they don't allow to present the numbers in the table, correct me if I am wrong. Maybe half the table in colors and half with numbers would be cool) and lastly correlation ellipse plots (here is some code and example - which is cool to use a shape, but I am not sure how to use it here).

There are also various clustering methods but they will aggregate the data (which is not what I want) while what I want is to present all of the data.

Example data:

nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv")
dist(nba[1:20, -1], )

I am open for ideas.

解决方案

Tal, this is a quick way to overlap text over an heatmap. Note that this relies on image rather than heatmap as the latter offsets the plot, making it more difficult to put text in the correct position.

To be honest, I think this graph shows too much information, making it a bit difficult to read... you may want to write only specific values.

also, the other quicker option is to save your graph as pdf, import it in Inkscape (or similar software) and manually add the text where needed.

Hope this helps

nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv")

dst <- dist(nba[1:20, -1],)
dst <- data.matrix(dst)

dim <- ncol(dst)

image(1:dim, 1:dim, dst, axes = FALSE, xlab="", ylab="")

axis(1, 1:dim, nba[1:20,1], cex.axis = 0.5, las=3)
axis(2, 1:dim, nba[1:20,1], cex.axis = 0.5, las=1)

text(expand.grid(1:dim, 1:dim), sprintf("%0.1f", dst), cex=0.6)

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07-30 05:04