[英]R ggplot viridis change the color gradient
Hello I am plotting scatter plot using R ggplot for coloring using virdis, I wanted split the color legend to get more contrast between ranges currently legend having 1000,2000,3000,4000 In between this split this to get more color currently my code looking as below您好,我正在使用 R ggplot 绘制散点图 plot 以使用 virdis 进行着色,我想拆分颜色图例以在当前图例具有 1000,2000,3000,4000 的范围之间获得更大的对比度,目前我的代码看起来像以下
library(dplyr)
library(ggplot2)
library("viridis")
df <- tibble(gene = sample.int(5000),aceth = rnorm(5000),acvitd = rnorm(5000))
df$log_mean=log(df$gene)
p=ggplot(df, aes(aceth, acvitd))+
geom_point(aes(color =gene)) +
theme(legend.position = "top")+
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black"))
p=p+ theme(legend.position = "top") +
scale_color_viridis(option = "A",
name = "mean",
guide = guide_colourbar(direction = "horizontal",
barheight = unit(4, units = "mm"),
barwidth = unit(100, units = "mm"),
draw.ulim = F,
title.hjust = 0.5,
label.hjust = 0.5, title.position = "top"))
How I wanted my graph look like我希望我的图表看起来如何
can anyone suggest me谁能建议我
Perhaps you're looking for scale_colour_vridis_b
to bin your colours?也许您正在寻找
scale_colour_vridis_b
来分类您的颜色?
df <- tibble(gene = sample.int(5000),aceth = rnorm(5000),acvitd = rnorm(5000))
df$log_mean=log(df$gene)
p=ggplot(df, aes(aceth, acvitd))+
geom_point(aes(color = - (aceth + acvitd))) +
theme(legend.position = "top")+
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black"))
p+ theme(legend.position = "top") +
scale_colour_viridis_b(option = "A", values = 0:10 /10, breaks = 0:5 - 2.5)
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