scale_fill_manual怎么设置图例数据的范围

在使用 `scale_fill_manual()` 函数时，可以通过 `limits` 参数来设置图例数据的范围。具体来说，可以将 `limits` 参数设置为一个包含所需数据范围的向量，例如：

scale_fill_manual(values = c("red", "blue"), limits = c(0, 1))

其中，`values` 参数用于指定颜色代码，`limits` 参数用于指定数据范围。在上面的示例中，图例数据的范围为 0 到 1。如果数据超出了这个范围，将不会显示在图例中。

相关问题

data<-melt(mydata,id.vars = 'ID') p <- ggplot(data=data,aes(ID,value,fill=variable)) + geom_bar(stat="identity",position="stack", color="#f0f0f0", width=1,size=0.20) + scale_fill_manual(values=c("#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99", "#e31a1c","#fdbf6f","#ff7f00","#cab2d6", "#6a3d9a","#ffff99","#ffed6f","#ccebc5", "#bc80bd","#d9d9d9","#fccde5","#b3de69", "#fdb462","#80b1d3","#fb8072","#8dd3c7", "#fdb222","#92b1d0","#fb8098","#9dd3c7")) p+labs(x = "", y = "") + #scale_x_continuous(breaks = seq(min(data$ID), max(data$ID), by = 1)) + # Add this line scale_y_continuous(expand = c(0,0),limits = c(0,100),breaks = seq(0, 100, by = 20)) + theme_classic() + theme( panel.background = element_rect(fill="white", colour="white", size=0.25), axis.line = element_line(colour="black", size=0.5), axis.title = element_text(size=13, color="black"), axis.text = element_text(size=12, color="black"), legend.position = c(1.15, 0.5), #修改图例位置 legend.text = element_text(size =10), aspect.ratio = 1, # set figure size to 8x6 inches plot.title = element_text(size = 10), # optional, add a title axis.text.x = element_text(angle = 45, hjust = 1), # Rotate x-axis labels by 45 degrees legend.box.spacing = unit(0.01, "cm"), # 设置图例中每个元素的间距 #legend.key.width = 0.5, # 缩小图例颜色方块的宽度 legend.background = element_blank() # 设置图例背景为透明 ) + guides(fill = guide_legend(ncol = 1,title="Bac_Phylum")) 修改脚本，图片中顺序与数据顺序一致

你可以尝试以下修改脚本，使得图片中的顺序与数据顺序一致：

library(dplyr)
library(ggplot2)

# 对数据进行排序，根据 value 和 variable 列进行升序排序
mydata <- arrange(mydata, value, variable)

# 将数据进行 melt 操作
data <- melt(mydata, id.vars = 'ID')

# 修改颜色顺序与 Bac_Phylum 列中因子的顺序一致
my_colors <- c("#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99",                              
               "#e31a1c","#fdbf6f","#ff7f00","#cab2d6",                              
               "#6a3d9a","#ffff99","#ffed6f","#ccebc5",                              
               "#bc80bd","#d9d9d9","#fccde5","#b3de69",                              
               "#fdb462","#80b1d3","#fb8072","#8dd3c7",                              
               "#fdb222","#92b1d0","#fb8098","#9dd3c7")
my_colors <- my_colors[match(levels(factor(data$variable)), levels(factor(mydata$Bac_Phylum)))]

# 绘制堆叠条形图
p <- ggplot(data = data, aes(ID, value, fill = variable)) +   
  geom_bar(stat = "identity", position = "stack", color = "#f0f0f0", 
           width = 1, size = 0.20) +   
  scale_fill_manual(values = my_colors) +   # 修改颜色顺序
  labs(x = "", y = "") +   
  scale_y_continuous(expand = c(0,0), limits = c(0,100), 
                     breaks = seq(0, 100, by = 20)) +   
  theme_classic() +   
  theme(panel.background = element_rect(fill = "white", color = "white", size = 0.25),
        axis.line = element_line(colour = "black", size = 0.5),
        axis.title = element_text(size = 13, color = "black"),
        axis.text = element_text(size = 12, color = "black"),
        legend.position = c(1.15, 0.5),
        legend.text = element_text(size = 10),
        aspect.ratio = 1,
        plot.title = element_text(size = 10),
        axis.text.x = element_text(angle = 45, hjust = 1),
        legend.box.spacing = unit(0.01, "cm"),
        legend.background = element_blank()) +   
  guides(fill = guide_legend(ncol = 1, title = "Bac_Phylum"))

# 输出绘制的图形
p

需要注意的是，这段修改后的脚本并没有测试过，如果有错误请及时修改。

ggplot(plotdata,aes(x=RDA1,y=RDA2,color=plotdata$Group))+ geom_point(size=4,aes(color = plotdata$Group,shape=plotdata$Treatment))+ stat_ellipse(aes(fill=plotdata$Group),geom = "polygon",linewidth=0.6,level = 0.95,alpha = 0.1)+ geom_segment(data=RDAE,aes(x = 0, y = 0, xend = RDAE[,1]*3.5, yend = RDAE[,2]*3.5), arrow = arrow(length = unit(0.03, 'npc')),linewidth =1,color="gray2")+ geom_text(data = RDAE,aes(RDA1 * 4,RDA2 * 4,label = rownames(RDAE)),color = 'gray2',size = 4)+ xlab(paste("RDA1 (",rda1,"%",")"))+ylab(paste("RDA2 (",rda2,"%",")"))+ theme_bw(base_line_size = 1.05,base_rect_size = 1.05)+ scale_color_manual(values=c("#3FBDA7","#0172B6","#BD3C29","#F0965D","#BEBADA"))+ scale_shape_manual(values = c(1,2,3))+ theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank())+ geom_hline(aes(yintercept=0), colour="gray45",size=0.8, linetype="dashed")+ geom_vline(aes(xintercept=0), colour="gray45",size=0.8, linetype="dashed") 请修改R脚本，将图例名修改为Bac,同时将填充图例与颜色图例合并表示

可以使用scale_color_manual()函数和scale_fill_manual()函数来修改图例名和合并填充图例与颜色图例。

修改后的代码如下：

ggplot(plotdata,aes(x=RDA1,y=RDA2,color=plotdata$Group, fill=plotdata$Group))+
geom_point(size=4,aes(shape=plotdata$Treatment))+
stat_ellipse(aes(fill=plotdata$Group),geom = "polygon",linewidth=0.6,level = 0.95,alpha = 0.1)+
geom_segment(data=RDAE,aes(x = 0, y = 0, xend = RDAE[,1]*3.5, yend = RDAE[,2]*3.5),
arrow = arrow(length = unit(0.03, 'npc')),linewidth =1,color="gray2")+
geom_text(data = RDAE,aes(RDA1 * 4,RDA2 * 4,label = rownames(RDAE)),color = 'gray2',size = 4)+
xlab(paste("RDA1 (",rda1,"%",")"))+ylab(paste("RDA2 (",rda2,"%",")"))+
theme_bw(base_line_size = 1.05,base_rect_size = 1.05)+
scale_color_manual(name="Bac", values=c("#3FBDA7","#0172B6","#BD3C29","#F0965D","#BEBADA"))+
scale_fill_manual(name="Bac", values=c("#3FBDA7","#0172B6","#BD3C29","#F0965D","#BEBADA"))+
scale_shape_manual(values = c(1,2,3))+
theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank())+
geom_hline(aes(yintercept=0), colour="gray45",size=0.8, linetype="dashed")+
geom_vline(aes(xintercept=0), colour="gray45",size=0.8, linetype="dashed")