Example 1 shows how to adjust the colors in a ggplot2 plot by group for a single geom. In this specific example, we arechanging the line colorsof our plot: ggplot(data,# Change colors of lines by groupaes(x=x, y=y,group=group))+geom_line(aes(col=group))+geom_point() Figure 2 ...
frame(x=c(0.5,1:4), y=-Inf, label=c("n=",313,5,8,5)) ggplot(data=efig7c, aes(x=group_info,y=BLUP))+ geom_boxplot(aes(fill=group_info))+ scale_fill_manual(values = c("#feb2a9","#fdd79d", "#dbcde4","#c993c7"))+ geom_jitter(width = 0.4)+ theme_bw()+ ...
❝本节来进行论文图表的复现;通过ggplot2绘制误差线点图 加载R包 library(tidyverse) library(ggprism) library(ggsci) 数据清洗 df <- read_tsv("F1-b.txt") %>% pivot_longer(-c(type,time)) %>% select(-name) %>% group_by(type,time) %>% summarise(value_mean=mean(value),sd=sd(value),...
#分组(group)也是ggplot2种映射关系的一种, 如果需要把观测点按额外的离散变量进行分组处理, 必须修改默认的分组设置。 p1 <- ggplot(data=diamond, mapping=aes(x=carat, y=price, group=factor(cut))) p1 + geom_boxplot() 1. 2. 3. 4. 5. 注意:不同的几何对象,要求的属性会有些不同,这些属性也...
# install.packages("ggplot2")library(ggplot2)ggplot(warpbreaks,aes(x=tension,y=breaks,fill=tension))+geom_violin(trim=FALSE,color="blue")+geom_boxplot(width=0.07) Border color by group However, if you want to set a border color based on the groups, you can pass the categorical variable...
mut.melt1 <- mut.melt[mut.melt$DriverMut%in%"TRUE",] c <- ggplot(data = mut.melt1 %>% group_by(patient_id) %>% tally() %>% ungroup() %>% tidyr::complete(patient_id, fill=list(n=0))) + geom_bar(stat="identity", aes(x=patient_id, y=n)) + theme_classic() + ylab(...
p <- ggboxplot(ToothGrowth, x = "dose", y = "len", color = "supp", palette = "jco") p2 = p + stat_compare_means(aes(group = supp)) # p + stat_compare_means(aes(group = supp), label = "p.signif") p1 / p2 2.2 多组比较 ...
ggplot(data = diamond) +geom_boxplot(aes(x=carat, y=price, group=factor(cut))) ggplot(data = diamond) +geom_point(aes(x=carat, y=price, colour=color,shape=cut)) 注:ggplot2支持图层,可以把不同的图层中共用的映射提供给ggplot函数,而某一几何对象才需要的映射参数提供给geom_xxx函数。
使用geom_dotplot()函数来绘制点图: geom_dotplot(mapping = NULL, data = NULL, position ="identity", ..., binwidth= NULL, binaxis ="x", method ="dotdensity", binpositions="bygroup", stackdir ="up", stackratio =1, dotsize=1, stackgroups = FALSE, origin = NULL, right =TRUE, ...
# Line plot with multiple groups # Change line types and colors by groups (sex) ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype = sex, color = sex))+ geom_point(aes(color=sex))+ theme(legend.position="top") 1. 2. 3. 4. 5. 6. 同点一样,线也可以类...