geom_density（）图中有多个组

本文介绍了geom_density（）图中有多个组的处理方法，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

数据是长格式的：

$ b $我想在一个geom_density（）图中绘制3组。 b

  MEI计数区域
 -2.031 10 MidWest 
 -1.999 0 MidWest 
 -1.945 15 MidWest 
 -1.944 1 MidWest 
 -1.875 6 MidWest 
 -1.873 10 MidWest 
 -1.846 18 MidWest

Region是变量，所以还有一个South和NorthEast值，代码如下：

  ggplot（d，aes （x = d $ MEI，group = d $ region））+ 
 geom_density（adjust = 2）+ 
 xlab（MEI）+ 
 ylab（Density）

更靠近一步

解决方案
$ $ $ $ $ $ c $ ggplot（）+
geom_density（data = ddf，aes（x = MEI，group = Region，fill = Region），alpha = 0.5，adjust = 2）+
xlab（MEI）+
ylab（Density）

如果您只想要颜色并且没有填充：

  ggplot（ ）+ 
 geom_density（data = ddf，aes（x = MEI，group = Region，color = Region），adjust = 2）+ 
 xlab（MEI）+ 
 ylab密度）+ 
 theme_classic（）

  dput（ddf）
结构（列表（MEI = c（-2.031，-1.999，-1.945，-1.944，-1.875，
 -1.873，-1.846，-2.031，-1.999 ，-1.945，-1.944，-1.875，-1.873，
 -1.846，-2.031，-1.999，-1.945，-1.944，-1.875，-1.873，-1.846，
 -2.031，-1.999 ，-1.945，-1.944，-1.875， -1.873，-1.846），Count = c（10L，
 0L，15L，1L，6L，10L，18L，10L，0L，15L，1L，6L，10L，0L，15L，
 10L ，0L，15L，1L，6L，10L，10L，0L，15L，1L，6L，10L，18L），Region = c（MidWest，
MidWest，MidWest 南部，南部，南部，南部，南部 North，NorthEast，NorthEast，
NorthEast，NorthEast，NorthEast，NorthEast，NorthEast，
 NorthEast，NorthEast，NorthEast）），.Names = c（MEI，Count，
Region），class =data.frame，row.names = c NA，-28L））
 
 ddf 
美元计数地区
 1 -2.031 10中西部
 2 -1.999 0中西部
 3 -1.945 15中西部
 4 -1.944 1 MidWest 
 5 -1.875 6 MidWest 
 6 -1.873 10 MidWest 
 7 -1.846 18 MidWest 
 8 -2.031 10 South 
 9  - 1.999 0南方
 10 -1.945 15南方
 11 -1.944 1南方
 12 -1.875 6南部
 13 -1.873 10南部
 14 -1.846 0南部
 15 -2.031 15南部
 16 -1.999 10南部
 17  - 1.945 0南部
 18 -1.944 15东北部
 19 -1.875 1东北部
 20 -1.873 6东北部
 21 -1.846 10东北部
 22 -2.031 10东北部
 23 -1.999 0 NorthEast 
 24 -1.945 15 NorthEast 
 25 -1.944 1 NorthEast 
 26 -1.875 6 NorthEast 
 27 -1.873 10 NorthEast 
 28 -1.846 18 NorthEast 
>

图只给出一条来自，因为所有3个因素具有相同的密度：

 > （dfmain，tapply（MEI，Region，mean））
 MidWest Northeast South 
 0.1717846 0.1717846 0.1717846 
> 
> （dfmain，tapply（MEI，Region，sd））
 MidWest Northeast South 
 1.014246 1.014246 1.014246 
> 
> （dfmain，tapply（MEI，Region，length））
 MidWest Northeast North 
 441 441 441

I am trying to plot 3 groups in one geom_density()plot.

The data is in long format:

MEI Count   Region
-2.031  10  MidWest
-1.999  0   MidWest
-1.945  15  MidWest
-1.944  1   MidWest
-1.875  6   MidWest
-1.873  10  MidWest
-1.846  18  MidWest

Region is the variable, so there is a South and NorthEast value as well, code is below:

ggplot(d, aes(x=d$MEI, group=d$region)) + 
  geom_density(adjust=2) + 
  xlab("MEI") +
  ylab("Density")

a step closer

解决方案

Try following:

ggplot() + 
  geom_density(data=ddf, aes(x=MEI, group=Region, fill=Region),alpha=0.5, adjust=2) + 
  xlab("MEI") +
  ylab("Density")

If you only want color and no fill:

ggplot() + 
  geom_density(data=ddf, aes(x=MEI, group=Region, color=Region), adjust=2) + 
  xlab("MEI") +
  ylab("Density")+
  theme_classic()

Following data is used here:

dput(ddf)
structure(list(MEI = c(-2.031, -1.999, -1.945, -1.944, -1.875, 
-1.873, -1.846, -2.031, -1.999, -1.945, -1.944, -1.875, -1.873, 
-1.846, -2.031, -1.999, -1.945, -1.944, -1.875, -1.873, -1.846, 
-2.031, -1.999, -1.945, -1.944, -1.875, -1.873, -1.846), Count = c(10L, 
0L, 15L, 1L, 6L, 10L, 18L, 10L, 0L, 15L, 1L, 6L, 10L, 0L, 15L, 
10L, 0L, 15L, 1L, 6L, 10L, 10L, 0L, 15L, 1L, 6L, 10L, 18L), Region = c("MidWest", 
"MidWest", "MidWest", "MidWest", "MidWest", "MidWest", "MidWest", 
"South", "South", "South", "South", "South", "South", "South", 
"South", "South", "South", "NorthEast", "NorthEast", "NorthEast", 
"NorthEast", "NorthEast", "NorthEast", "NorthEast", "NorthEast", 
"NorthEast", "NorthEast", "NorthEast")), .Names = c("MEI", "Count", 
"Region"), class = "data.frame", row.names = c(NA, -28L))

 ddf
      MEI Count    Region
1  -2.031    10   MidWest
2  -1.999     0   MidWest
3  -1.945    15   MidWest
4  -1.944     1   MidWest
5  -1.875     6   MidWest
6  -1.873    10   MidWest
7  -1.846    18   MidWest
8  -2.031    10     South
9  -1.999     0     South
10 -1.945    15     South
11 -1.944     1     South
12 -1.875     6     South
13 -1.873    10     South
14 -1.846     0     South
15 -2.031    15     South
16 -1.999    10     South
17 -1.945     0     South
18 -1.944    15 NorthEast
19 -1.875     1 NorthEast
20 -1.873     6 NorthEast
21 -1.846    10 NorthEast
22 -2.031    10 NorthEast
23 -1.999     0 NorthEast
24 -1.945    15 NorthEast
25 -1.944     1 NorthEast
26 -1.875     6 NorthEast
27 -1.873    10 NorthEast
28 -1.846    18 NorthEast
>

Graph gives only one curve with your own data from https://dl.dropboxusercontent.com/u/16400709/StackOverflow/DataStackGraph.csv since all 3 factors have identical densities:

> with(dfmain, tapply(MEI, Region, mean))
  MidWest Northeast     South 
0.1717846 0.1717846 0.1717846 
> 
> with(dfmain, tapply(MEI, Region, sd))
  MidWest Northeast     South 
 1.014246  1.014246  1.014246 
> 
> with(dfmain, tapply(MEI, Region, length))
  MidWest Northeast     South 
      441       441       441

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