() # 调整x轴的限制范围 p <- p + scale_x_continuous(limits = c(0, 10), breaks = seq(0, 10, 2)) # 设置x轴标题 p <- p + labs(x = "X轴标题") # 设置图形样式 p <- p + theme(plot.background = element_rect(fill = "white"), axis.text = element_text(size = 12)) ...
Sometimes you want to limit the axis range of a plot to a region of interest so that certain features (e.g. location of the median & quartiles) are emphasized. Nevertheless, it may be of interest to make it clear how many/what proportion of values lie outside the (...
(scale, expansion, coord_limits = self$limits[[name]]) } else { range <- given_range } out <- list( ggplot2:::view_scale_primary(scale, limits, range), sec = ggplot2:::view_scale_secondary(scale, limits, range), arrange = scale$axis_order(), range = range ) names(out) <- ...
ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text,title和stick)、legend(包括backgroud、text、title)、facet这是第二层次,其中facet可以分为外部strip部分(包括backgroud和text)和内部panel部分(包括backgroud、boder和网格线grid,其中粗的叫grid.major,细...
axis.text.y =element_text(size =12, color ="black"),axis.text.x.top=element_text(angle=90,hjust =0,vjust =0.1,color ='black',size =10),axis.ticks = element_blank(),legend.key.size = unit(0.15,"inches"))+labs(x="",y=NULL)+scale_size_discrete(range=c(2,8))+scale_x_...
ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text,title和stick)、legend(包括backgroud、text、title)、facet这是第二层次,其中facet可以分为外部strip部分(包括backgroud和text)和内部panel部分(包括backgroud、boder和网格线grid,其中粗的叫grid.major,细...
axis.text = element_text(face = "bold",size = 9,color = "darkblue"), # 坐标轴标签为粗体深蓝色9号 panel.background = element_rect(fill = "white",color = "darkblue"), # 白色背景填充加深蓝色边框 panel.grid.major.y = element_line(color = "grey",linetype = 1), ...
f+geom_linerange() point range f+geom_pointrange() 点图+误差棒 g <- ggplot(df, aes(x=dose, y=len))+ geom_dotplot(binaxis = "y", stackdir = "center") 添加geom_crossbar() g+stat_summary(fun.data = mean_sdl, fun.args = list(mult=1), geom="crossbar", color="red", width...
point range f+geom_pointrange() 点图+误差棒 g <- ggplot(df,="" aes(x="dose," y="len))+" geom_dotplot(binaxis='y' ,="" stackdir='center'> 添加geom_crossbar() g+stat_summary(fun.data = mean_sdl, fun.args = list(mult=1), geom='crossbar', color='red', width=0.1) ...
Change range ## Change range of Y axisp+scale_y_continuous(limit=c(0,30000)) ## Use coord_cartesian(ylim) to zoom inp+coord_cartesian(ylim=c(5000,20000)) ## No extra space around plotp+scale_y_continuous(expand=c(0,0))+scale_x_discrete(expand=c(0,0)) ...