如何解决更改基本几何图形中的颜色
大家,我正在尝试为下一个情节更改颜色:
我尝试了其他解决方案:
my_pal <- colorRampPalette(c("yellow","firebrick2"))
scale_color_gradientn(colours = my_pal(6))
或在 geom_point 中添加 color = ... ,但我的代码有问题 这是我的数据示例:
structure(list(Class = structure(c(1L,1L,1L),.Label = c("Amphibia","Reptilia","diverse"),scores = structure(c(Amphibia = 0.0171454425174863,diverse = 0.0557016619533333,Reptilia = 0.0306895793776627),.Dim = 3L,.Dimnames = list(
c("Amphibia","diverse","Reptilia"))),class = "factor"),cost_bil = c(0.00061474244,0.00061474244,0.00333970653,0.00038007634,0.00013713485,0.0005509038,0.0005509038),value = c("Observed","High","Observed","High")),row.names = c(NA,-10L),class = c("tbl_df","tbl","data.frame"))
我只选择了 10 列,所以如果可能的话结果不会相同,我使用的代码是:
p9 <-ggplot(expanded_long,aes(x = Class,y = value)) +
geom_point(aes(size = cost_bil)) +
facet_grid(name ~ .,switch = "y",scales = "free_y") +
scale_size_continuous(range = c(1,20)) +
labs(x = "Taxonomic Class",y = NULL,size = "US$ billions",color = "US$ billions") +
theme(
panel.spacing.y = unit(0,"pt"),strip.placement = "outside",strip.background.y = element_blank()
) +
guides(size=guide_legend(reverse = TRUE)) +
theme_classic() +
scale_size(range=c(5,20))
感谢所有帮助,我只想更改主图和图例的颜色, 非常感谢
解决方法
请尝试以下操作。
请注意,无需定义颜色向量,使用 scale_colour_gradient
的参数 low
和 high
,颜色将自动映射到连续变量 cost_bil
。>
library(ggplot2)
ggplot(expanded_long,aes(x = Class,y = value)) +
geom_point(aes(size = cost_bil,colour = cost_bil)) +
scale_size_continuous("US$ billions",range = c(1,20)) +
scale_colour_gradient("US$ billions",low = "yellow",high = "firebrick2")+
labs(x = "Taxonomic Class",y = NULL,size = "US$ billions",colour = "US$ billions") +
guides(size = guide_legend(reverse = TRUE),colour = guide_legend(reverse = TRUE)) +
facet_grid(name ~ .,switch = "y",scales = "free_y") +
theme_classic() +
theme(
panel.spacing.y = unit(0,"pt"),strip.placement = "outside",strip.background.y = element_blank()
)
,
首先向 geom_point()
添加 color=cost_bil,然后在其后添加 guides(colour = guide_legend(reverse=F))
。
这里有相同模式的示例图:
ggplot(head(midwest,100),aes(x=area,y=poptotal)) +
geom_point(aes(size=area,color=area)) +
scale_colour_continuous(low = '#32CD32',high = '#ff4040') +
guides(colour = guide_legend(reverse=F))
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