ggplot2;变量编码颜色时的一条回归线? [英] ggplot2; single regression line when colour is coded for by a variable?

问题描述

我试图在ggplot2中用一条回归线创建散点图，即使颜色取决于调查类型"变量.理想情况下，我还要指定哪种调查类型是哪种颜色(社区=红色，国家以下=绿色，国家=蓝色).

I am trying to create a scatterplot in ggplot2 with one regression line even though colour is dependent on the 'Survey Type' variable. I would ideally also like to specify which survey type is which colour (community = red, subnational = green, national = blue).

这是我正在运行的代码，目前为我提供3条单独的回归线，每种调查类型对应一条.

This is the code I'm running which currently gives me 3 separate regression lines, one for each survey type.

ggplot(data=data.male,aes(x=mid_year, y=mean_tc, colour =condition)) +
geom_point(shape=1) + 
geom_smooth(method=lm, data=data.male, na.rm = TRUE, fullrange= TRUE) 

条件是:

condition <- (data.male$survey_type)

即使我将颜色美感移到了geom_point函数上，它也不起作用，因为它给我一个错误消息，指出社区不是有效的颜色名称?

Even if I move the colour aesthetic to the geom_point function it doesn't work as it gives me an error saying community is not a valid colour name?

我的实际数据文件非常大，因此我在这里仅提供一个小示例:

My actual data file is really big so I'll just give a small sample here:

data.male数据集:

data.male dataset:

mid_year mean_tc survey_type
2000     4       Community
2001     5       National
2002     5.1     Subnational
2003     4.3     National
2004     4.5     Community
2005     5.2     Subnational
2006     4.4     National

推荐答案

data.male <- read.table(header=TRUE,text="
 mid_year mean_tc survey_type
 2000     4       Community
 2001     5       National
 2002     5.1     Subnational
 2003     4.3     National
 2004     4.5     Community
 2005     5.2     Subnational
 2006     4.4     National")

• 在geom_smooth()规范中使用aes(group=1)来忽略通过将颜色映射分配给调查类型而引起的按调查类型分组. (或者，您可以将颜色映射放在geom_point()中，而不是整个ggplot()规范中.)
• 如果要指定颜色，则需要在数据框中指定颜色作为变量的名称(即survey_type)；如果要将图例中的名称更改为condition，则可以在色标规范中进行更改(以下示例).
• Use aes(group=1) in the geom_smooth() specification to ignore the grouping by survey type induced by assigning the colour mapping to survey type. (Alternatively, you can put the colour mapping into geom_point() rather than the overall ggplot() specification.)
• If you want to specify colour you need to give it as the name of a variable in your data frame (i.e., survey_type); if you want to change the name in the legend to condition you can do that in the colour scale specification (example below).

library(ggplot2); theme_set(theme_bw())
ggplot(data=data.male,aes(x=mid_year, y=mean_tc, colour=survey_type)) +
   geom_point(shape=1) +
   ## use aes(group=1) for single regression line across groups;
   ##   don't need to re-specify data argument
   ##  set colour to black (from default blue) to avoid confusion
   ##  with national (blue) points
   geom_smooth(method=lm, na.rm = TRUE, fullrange= TRUE,
               aes(group=1),colour="black")+
   scale_colour_manual(name="condition",
       values=c("red","blue","green"))
       ## in factor level order; probably better to
       ## specify 'breaks' explicitly ...

• 出于对色盲人群的礼貌，我建议不使用红色/绿色/蓝色为主色(尝试使用scale_colour_brewer(palette="Dark1")).
• Out of courtesy to colour-blind people I would suggest not using primary red/green/blue as your colour specifications (try scale_colour_brewer(palette="Dark1") instead).

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