theme(axis.ticks=element_blank())# 移除两坐标轴刻度线,无法仅隐藏单个坐标轴的刻度线theme(axis.text.x=element_blank())# 仅移除x轴刻度标签,y轴同scale_y_continuous(breaks=NULL)# 移除y轴刻度线、刻度标签和y轴网格线,仅对连续型坐标轴有效 4.6.2 设置刻度线位置 代码语言:jav
library(MASS)# to access Animals data setslibrary(scales)# to accessbreakformatting functions # x and y axis are transformed and formatted p2<-ggplot(Animals,aes(x=body,y=brain))+geom_point()+scale_x_log10(breaks=trans_breaks("log10",function(x)10^x),labels=trans_format("log10",math_...
breaks = brks) + # 变为 monthly ticks and labels theme(axis.text.x = element_text(angle = 90, vjust=0.5), panel.grid.minor = element_blank()) #关闭次级间断 Calendar Heatmap 日历热力图 使用geom_tile 需要更多的数据准备工作 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ...
labs(x="", y="Mean GdpPerCap") + # Axis labels xlim(.5, 2.5) + ylim(0,(1.1*(max(df1952`, df1957`))) # X and Y axis limits # Add texts p <- p + geom_text(label=left_label, y=df1952`, x=rep(1, NROW(df)), hjust=1.1, size=3.5) p <- p + geom_text(label=rig...
scale_x_continuous(limits=c("A","B"), breaks=seq(起始值,终止值,间隔)) 3.修改坐标轴标签 旋转坐标轴标签theme(axis.text.x=element_text(angle=45,size=8)) 凡是修改坐标轴的属性,可以用theme(axis.text.x=theme_text(X轴属性),asix.text.y=theme_text(Y轴属性)) ...
sec.axis = sec_axis(~./42, name = '-Log10(P value)', breaks = seq(0,140,20)))+ geom_line(aes(x= reorder(GO_terms,-`-Log10(P value)`), y=`-Log10(P value)`*42, group=1), linetype=3,cex=1)+ geom_point(aes(x= reorder(GO_terms,-`-Log10(P value)`), ...
xlab(“New X axis label”): 修改x轴标签 ylab(“New Y axis label”): 修改y轴标签 labs(title = “New main title”, x = “New X axis label”, y = “New Y axis label”): 可同时添加主标题以及坐标轴标签,另外,图例标题也可以用此函数修改 修改主标题以及标签 (p <- p+labs(title="Plo...
breaks = c("Fair", "Good", "Very Good","Premium","Ideal"), labels = c("一般", "好", "很好", "高级", "理想")) brewer 使用ColorBrewer的颜色 #palette参数调用色板 library(RColorBrewer) #主要是palette参数调用色板 p + scale_fill_brewer() # 默认使用Blues调色板中的颜色(左) ...
()+geom_point()+scale_x_date(date_breaks="1 months")+theme(axis.text.x=element_text(color="black",angle=-90))+ggtitle(paste0('五柳冰冰绘制的LPR走势图','/期间','2021-01-01','--',Sys.Date()))+labs(x='日期',y='利率%')+ggrepel::geom_text_repel(data=LPR数据表,aes(label=...
当stat="count"时,设置文本的标签需要使用一个特殊的变量aes(label=..count..), 表示的是变量值的数量。 ggplot(data=Arthritis, mapping=aes(x=Improved))+geom_bar(stat="count",width=0.5, color='red',fill='steelblue')+geom_text(stat='count',aes(label=..count..), vjust=1.6, color="white"...