问题描述
我一直试图根据分类数据创建一个3D条形图，但没有找到办法。
I've been trying to create a 3D bar plot based on categorical data, but have not found a way.
这很容易解释。考虑下面的示例数据（真实的例子是更复杂，但它减少到这一点），显示招致按收入和年龄分类的分类数据的相对风险。
It is simple to explain. Consider the following example data (the real example is more complex, but it reduces to this), showing the relative risk of incurring something broken down by income and age, both categorical data.
我想在3D条形图中显示此信息（类似于）。我查看了scatterplot3d包，但它只适用于散点图，不能很好地处理分类数据。我能够制作一个三维图表，但它显示点而不是3d条。没有我需要的图表类型。我也试过rgl包，但也没有运气。我一直在谷歌搜索超过一个小时，现在还没有找到一个解决方案。我还有一个ggplot2 - 数据分析的优雅图形的副本，但ggplot2没有这种图表。
I want to display this in a 3D bar plot (similar in idea to http://demos.devexpress.com/aspxperiencedemos/NavBar/Images/Charts/ManhattanBar.jpg). I looked at the scatterplot3d package, but it's only for scatter plots and doesn't handle categorical data well. I was able to make a 3d chart, but it shows dots instead of 3d bars. There is no chart type for what I need. I've also tried the rgl package, but no luck either. I've been googling for more than an hour now and haven't found a solution. I have a copy of the ggplot2 - Elegant Graphics for Data Analysis book as well, but ggplot2 doesn't have this kind of chart.
还有另一个免费应用程序使用？
Is there another freeware app I could use? OpenOffice 3.2 doesn't have this chart either.
感谢您的任何提示。
Age,Income,Risk
young,high,1
young,medium,1.2
young,low,1.36
adult,high,1
adult,medium,1.12
adult,low,1.23
old,high,1
old,medium,1.03
old,low,1.11
推荐答案
我不知道如何在R中制作一个3d图表，使用3d条形图表示这些数据的方法。 3d图表使解释困难，因为酒吧的高度，然后歪斜的3d透视。在该示例图表中，很难判断威斯康星在2004年是否真的高于威斯康星2001年，或者这是一个透视的效果。
I'm not sure how to make a 3d chart in R, but there are other, better ways to represent this data than with a 3d bar chart. 3d charts make interpretation difficult, because the heights of the bars and then skewed by the 3d perspective. In that example chart, it's hard to tell if Wisconsin in 2004 is really higher than Wisconsin 2001, or if that's an effect of the perspective. And if it is higher, how much so?
因为 Age 和收入有有意义的订单，制作线形图不会太糟糕。 ggplot2 代码：
Since both Age and Income have meaningful orders, it wouldn't be awful to make a line graph. ggplot2 code:
ggplot(data, aes(Age, Risk, color = Income))+
geom_line(aes(group = Income))
Or, you could make a heatmap.
ggplot(data, aes(Age, Income, fill = Risk)) +
geom_tile()
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