如何在R中绘制一个预先生成的直方图 [英] How to Plot a Pre-Binned Histogram In R

问题描述

对于较大的数据集，我有一个预先装入的频率表。也就是说，单个列的向量向量和与这些仓相关联的单个列的向量向量。我想让R通过进一步分类和总结现有的计数来绘制这些数据的直方图。例如，如果在预先装入的数据中，我有类似[（0.01，5000），（0.02,231），（0.03,948）]的东西，其中第一个数字是bin，第二个是count，而I选择0.04作为新的仓宽度，我希望得到[（0.04,6179）]。在R中这是最快和最简单的方法？

解决方案

看起来ggplot2有答案。

  
库（ggplot2）
 qplot（bin，data = cbind（bin， =计数，geom =直方图）
  

I have a pre-binned frequency table for a rather large dataset. That is, a single column vector of bins and a single column vector of counts associated with those bins. I'd like R to plot a histogram of this data by doing further binning and summing the existing counts. For example, if in the pre-binned data I have something like [(0.01, 5000), (0.02, 231), (0.03, 948)], where the first number is the bin and the second is the count, and I choose 0.04 as the new bin width, I'd expect to get [(0.04, 6179)]. What's the fastest and or easiest way to do this in R?

解决方案

Looks like ggplot2 has the answer.

 
library(ggplot2)
qplot(bin, data=cbind(bins,counts), weight=counts, geom="histogram")

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