在geom_freqpoly行下填充区域的最简单方法是什么？ [英] What is the simplest method to fill the area under a geom_freqpoly line?

问题描述

x轴是时间间隔的时间分解。数据框中有一个间隔列，用于指定每行的时间。该列是一个因素，其中每个区间是一个不同的因素级别。

使用geom_histogram和geom_freqpoly绘制直方图或线条效果很好，但我希望有一个line，就像geom_freqpoly提供的那样，填充区域。

目前我使用的是geom_freqpoly，像这样：

  ggplot（quake.data，aes（interval，fill = tweet.type））+ geom_freqpoly（aes（group = tweet.type，color = tweet.type））+ opts（axis .text.x = theme_text（angle = -60，hjust = 0，size = 6））
  

我宁愿有一个填充区域，例如由 geom_density 提供，但不会平滑该行： $ b

geom_area 已建议，有没有办法使用ggplot2生成的统计信息，如..count ..，用于geom_area的y-值？或者，在使用ggplot2之前是否需要进行计数聚合？

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正如答案中所述，geom_area（..

  ggplot（quake.data，aes（interval））+ geom_area（（）。，stat =bin）是解决方案： aes（y = ..count ..，fill = tweet.type，group = tweet.type），stat =bin）+ opts（axis.text.x = theme_text（angle = -60，hjust = 0，size = 6））
  

产生：

解决方案

也许你想要：

$ $ $ $ $ $ $ $ $ $ geom_area（aes（y = ..count ..），stat =bin）

The x-axis is time broken up into time intervals. There is an interval column in the data frame that specifies the time for each row. The column is a factor, where each interval is a different factor level.

Plotting a histogram or line using geom_histogram and geom_freqpoly works great, but I'd like to have a line, like that provided by geom_freqpoly, with the area filled.

Currently I'm using geom_freqpoly like this:

ggplot(quake.data, aes(interval, fill=tweet.type)) + geom_freqpoly(aes(group = tweet.type, colour = tweet.type)) + opts(axis.text.x=theme_text(angle=-60, hjust=0, size = 6))

I would prefer to have a filled area, such as provided by geom_density, but without smoothing the line:

The geom_area has been suggested, is there any way to use a ggplot2-generated statistic, such as ..count.., for the geom_area's y-values? Or, does the count aggregation need to occur prior to using ggplot2?

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As stated in the answer, geom_area(..., stat = "bin") is the solution:

ggplot(quake.data, aes(interval)) + geom_area(aes(y = ..count.., fill = tweet.type, group = tweet.type), stat = "bin") + opts(axis.text.x=theme_text(angle=-60, hjust=0, size = 6))

produces:

解决方案

Perhaps you want:

geom_area(aes(y = ..count..), stat = "bin")

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