test.b1 <- bb[,c(1,3:ncol(bb))] %>% gather(variable,value,-Group) %>% group_by(variable,Group) %>% summarise(Max = max(value)) test.b11 <- dcast(test.b1,Group~variable)for (i in 2:ncol(test.b11)) { test.b11[,i] <- test.b11[,i] + max(test.b11[,i])*0.015} ...
base <- ggplot(economics_long, aes(date, value01)) base + geom_line(aes(group = variable)) 注意:我们是通过设置group = variable来设置分组的,但是组与组之间没有区分度。 为图片添加线型和颜色 base + geom_line(aes(linetype = variable, colour=variable)) 这样,每组之间的趋势就很明显了。 自定...
p2 <- ggplot(mpg, aes(cty, hwy)) + geom_point(aes(colour = "darkblue")) # If you want appearance to be governed by a variable, put the specification inside aes() p3 <- ggplot(mpg, aes(cty, hwy)) + geom_point(aes(colour = "darkblue")) + scale_colour_identity() p4 <- ...
df<-data.frame(`s__Klebsiella_phage_vB_KpnP_SU552A` = sample(x,10,replace = T), `s__Escherichia_phage_ECBP5` = sample(x,10,replace = T), `s__Clostridium_phage_phi8074-B1` = sample(x,10,replace = T), check.names = F) head(df) df%>% reshape2::melt()%>% group_by(va...
vln.dat.melt<-reshape2::melt(vln.dat,id.vars=c("Cell","seurat_clusters"),measure.vars=top_marker$gene,variable.name="gene",value.name="Expr")%>%group_by(seurat_clusters,gene)%>%#分组mutate(fillcolor=mean(Expr))#计算均值 2,ggplot2 绘制-核心 ...
## measurevar: the name of a column that contains the variable to be summariezed ## groupvars: a vector containing names of columns that contain grouping variables ## na.rm: a boolean that indicates whether to ignore NA's ## conf.interval: the percent range of the confidence interval (...
library(dplyr)df%>%reshape2::melt()%>%group_by(variable)%>%summarise(mean_value=mean(value),sd_value=sd(value))->df2 柱形图叠加误差线和散点图 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ggplot()+geom_col(data=df2,aes(x=variable,y=mean_value),fill="#8babd3",color="black"...
当然,如果需要对明细数据中的某个离散变量进行聚合(均值、求和、最大、最小、方差等)后再绘制条形图的话,建议先使用dplyr包中的group_by()函数和summarize()函数实现数据汇总,具体可参见: http://mp.weixin.qq.com/s?__biz=MzIxNjA2ODUzNg==&mid=402687811&idx=1&sn=fb4ada05aef7bf34b9fc35f97221d55...
ggplot2是R语言最流行的第三方扩展包,是RStudio首席科学家Hadley Wickham读博期间的作品,是R相比其他语言一个独领风骚的特点。包名中“gg”是grammar of grap...
library(ggplot2)theme_set(theme_classic())# Histogram on a Continuous (Numeric) Variable g <- ggplot(mpg, aes(displ)) + scale_fill_brewer(palette = "Spectral") g + geom_histogram(aes(fill=class), binwidth = .1, col="black", size=.1) + # change binwidth labs(title="Histogram wi...