(Date,Cultivar),y=Weight))+geom_col()+ geom_text...$Weight)*1.05) #设置标签的y轴坐标 ggplot(ce,aes(x=interaction(Date,Cultivar),y=Weight))+geom_col()+ geom_text...))+ geom_col()+ geom_text(aes(y=label_y,label=Weight),vjust=1.5,colour='white') #计算y轴的位置,将数据标签...
# install.packages("ggplot2") library(ggplot2) ggplot(df, aes(x = group, y = count)) + geom_bar(stat = "identity") + geom_text(aes(label = count), vjust = 2, colour = "white") # Note that if you data is categorical # you can show the count for each group with ..count....
geom_col(width = 0.5,show.legend = T,colour="black",position = "dodge")+ geom_col_pattern(aes(pattern=Group.2,fill=Group.1,pattern_angle=Group.2),colour="black",pattern_density=0.04,position = position_dodge(0.9))+ geom_errorbar(aes(ymax=x.x+x.y,ymin=x.x),width=0.15,position=...
stroke=5,aes(color=porcentaje),show.legend=F)+facet_wrap(~agregacion)+geom_text(aes(label=porcentaje),color="white",size=8)+theme(panel.background=element_rect(color="#575756",size=1.1,linetype="solid",fill="white"),panel.grid.major.y=element_line(size=0.1,linetype="dotted...
(panel.grid.major = element_blank(), panel.grid.minor = element_blank()) + theme(strip.text = element_text(colour = 'white'), legend.spacing.y = unit(.5, 'cm')) + guides(fill = guide_legend(as.factor('Category'), byrow = TRUE)) + scale_fill_discrete(...
alpha = cal_year == 2020), width = 0.5, fill = "white" )+ # 第一层条形的标签...geom_text(data = df_animals_agg %>% filter(animal_group_aggregated == "Cats" & cal_year ...geom_text(aes(y=-15,label = cal_year,color=cal_year == 2020))+ # 各种颜色设置 scale_y_continuous...
ggplot(aes(x = Sepal.Width, colour = Species, label = Species)) + geom_textdensity(size = 6, fontface = 2, hjust = 0.2, vjust = 0.3) + scale_color_npg()+ theme_bw()+ theme(panel.background = element_blank(), panel.grid = element_blank(), ...
white; padding-top: 60px" > <div class="container"> <div class="row"> <div class="col-lg-2 text-center"></div> <div class="col-lg-8 text-center"> <br /><br /><br /> <h2 class="section-heading text-uppercase" style="color: black"> Contact </h2> <p> This document is...
p + geom_label(aes(fill =factor(cyl)), colour = "white", fontface = "bold") image p + geom_text(aes(size = wt)) image 缩放文本高度 p + geom_text(aes(size = wt)) +scale_radius(range =c(3,6)) image 可以通过设置parse = TRUE来显示表达式。themama中描述了显示的详细信息,但请注...
ggplot(iris, aes(x=Sepal.Length,colour=Species,label=Species))+geom_textdensity(size=6,fontface=2,hjust=0.2,vjust=0.3)+theme(legend.position="none") Note that we have been able to “reclaim” the space normally taken up by the legend without leaving any ambiguity in the plot. ...