scale_y_continuous(expand = c(0,0))+ #刻画x轴 scale_x_continuous(expand = c(0,0))+#刻画y轴 5.2我们为图像配色 scale_colour_gradientn(colours=c("darkblue","blue","#0092FF","#00FF92","#49FF00","#FFDB00","#FF0000","red","dark
stack_plot=ggplot(data_frame, aes(x=sample_id, fill=Taxonomy, y=value*100))+ # 数据输入:样本、物种、丰度 geom_col(position='stack') + # stack:堆叠图 labs(x='Samples', y='Relative Abundance (%)')+ #给xy轴取名 scale_y_continuous(expand=c(0, 0))+ # 调整y轴属性 theme(axis.te...
ggplot(a1.Petal.long, aes(x = Species , y = Size, colour = Species ) )+ geom_boxplot(size = 0.5, coef = 1) + geom_jitter()+ #相对于geom_point,geom_jitter()可消除点的重合。 facet_grid(. ~ Petal)+ #分面 scale_y_continuous("Petal.Width",expand=c(0,0) limits = c(0,7)...
geom_density(aes(value,y=..count..),color='black', fill='#FB632E',alpha=0.2,cex=1)+ theme_classic(base_size = 20)+ scale_x_continuous(expand = c(0,0))+ scale_y_continuous(expand = c(0,0),limits = c(0,33))+ labs(x=NULL,y=NULL)+ theme(axis.line.y = element_blank()...
scale_y_continuous(expand = expansion(mult=c(0,0)), limits = c(0,350), breaks = seq(0,350,50))+ labs(x=NULL,y="Number of DEGs",title="Ven")+ theme(plot.title = element_text(hjust=0.5,face="bold")) 三个柱形图的代码基本一样 ...
p21 <- ggplot(df2_1[1:3,],aes(x='',y=value,fill=科室))+ geom_bar(stat ='identity',width =1,position ='stack')+ geom_text(aes(y=c(55,18,5.5),label=占比),size=8)+ scale_y_continuous(expand = c(0,0))+ theme_bw()+ ...
scale_x_discrete(limits = stat_color$state, labels = stat_color$label, expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0), limits = c(0, CITY_PERSON_SIZE * 1.05), breaks = seq(0, CITY_PERSON_SIZE, length.out = 6)) + ...
# p1. continuous colorbar p1 <- ggplot+ geom_spatraster(data = r, maxcell = 1*10^7)+ geom_spatvector(data = global_land, fill = NA, size = 0.2) + scale_y_continuous(expand = c(0,0), limits = c(-65*10^5, 86*10^5))+ ...
scale_y_discrete 1. 连续型变量坐标轴 函数及其参数: scale_x_continuous(name=,#坐标轴标签breaks=,#定义刻度minor_breaks=,labels=,#刻度标签limits=,expand=c(0.05,0),#坐标轴延伸,确保图形元素不覆盖坐标oob=censor,#识别越过边界的点na.value=NA_real_,trans='identity',#统计变换position='bottom',#le...
scale_y_continuous(limits=c(0,8000),breaks =seq(0,8000,by=1500),expand = c(0,0))+ #scale_x_continuous(limits=c(2015,2021),breaks =seq(2015,2021,by=1))+ labs(x="年份",y=expression(~单产~(Mg~ha^{-1})))+#设置x和y洲的图例名称 ...