ggplot(mpg, aes(x = class, fill = class)) + geom_bar() + scale_fill_brewer(palette ...
ggplot(df, aes(x="", y = value, pattern = group, pattern_angle = group))+ geom_bar_pattern( width = 1, stat = "identity", fill = 'white', colour = 'black', pattern_aspect_ratio = 1, pattern_density = 0.3 ) + coord_polar("y", start=0) + theme_void(20) + theme( legen...
aes(x=`Super-population`,y=value))+geom_bar_pattern(stat="identity",position="dodge",aes(pattern=name,fill=name),pattern_density=0.01,fill=cols,color="black",show.legend=FALSE)+scale_pattern_manual(values
colours <- scales::viridis_pal()(10) grad_ungroup <- linearGradient(colours, group = FALSE) grad_grouped <- linearGradient(colours, group = TRUE) ungroup <- ggplot(mpg, aes(factor(cyl))) + geom_bar(fill = grad_ungroup) + labs(title = "Ungrouped gradient") grouped <- ggplot(mpg, ...
pattern_fill = "black", pattern_density = 0.05)+ #绘制柱状图,相当于geom_bar(stat="identity") scale_fill_brewer(palette = "Set2")+#对柱的填充颜色进行调整 scale_pattern_manual(values = c("stripe","none"))+ theme_bw() ggplot(data=data_bar_one,aes(x=types,y=disp))+ ...
geom_bargeom_bar_pattern geom_bin2dgeom_bin2d_pattern geom_boxplotgeom_boxplot_pattern geom_colgeom_col_pattern geom_crossbargeom_crossbar_pattern geom_densitygeom_density_pattern geom_histogramgeom_histogram_pattern geom_mapgeom_map_pattern ...
geom_area() 面积图,覆盖数据以下的所有区域。 由于ggplot2几何图形都是geom_xxx形式,所以可以在R种列出所有的绘图类型 AI检测代码解析 > library(ggplot2) > ls("package:ggplot2", pattern="^geom_.+") [1] "geom_abline" "geom_area" "geom_bar" "geom_bin2d" ...
> p+geom_bar(position = 'dodge')+scale_fill_brewer(type = 'qual') > #这里的type和RcolorBrewer里的三种type(seq, div, qual)是一样的,type=qual是离散型颜色 3.坐标轴标尺设置 ggplot2为x或y轴标尺的设置分别提供了9个函数: > ls("package:ggplot2", ...
patternplot包,提供了丰度的图形可视化填充选项,但是目前我尽然没忽悠看到一篇推文来介绍和学习这个R包的。 大家都知道,柱状图我们在中文中常见填充的除了颜色,还有形状,用不同的线填充,区分不同分组,因为中文期刊彩色版面费贵一些,所以很多...
ls("package:ggplot2", pattern="^geom_.+") [1]"geom_abline""geom_area""geom_bar""geom_bin_2d"[5]"geom_bin2d""geom_blank""geom_boxplot""geom_col"[9]"geom_contour""geom_contour_filled""geom_count""geom_crossbar"[13]"geom_curve""geom_density""geom_density_2d""geom_density_2d...