R语言ggplot2可视化、在一张图中画出两条曲线(two lines in same ggplot2 graph)、使用postscript函数将可视化图像保存到指定目录的(ps、postscript file)文件中 #create data frame df <- data.frame(day = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), sales = c(8, 8, 7, 6, 7, 8, 9...
bp + theme(legend.background =element_rect(fill="gray90", size=.5, linetype="dotted")) 7.9、图例位置 bp + theme(legend.position="top") # Position legend in graph, where x,y is 0,0 (bottom left) to 1,1 (top right) bp + theme(legend.position=c(.5, .5)) # Set the "ancho...
The graph below illustrates the list of line types available in R: library(ggpubr) show_line_types() In the next sections, we’ll illustrate line type modification using the example of line plots created with the geom_line(). However, note that, the option linetype can be also applied...
image.png 这里实现条纹柱形图用到的是ggpattern这个R包 参考链接 https://coolbutuseless.github.io/package/ggpattern/index.html https://github.com/coolbutuseless/ggpattern 安装 代码语言:javascript 代码运行次数:0 运行 AI代码解释 remotes::install_github("coolbutuseless/ggpattern") 因为是ggplot2的扩展包,...
#geom_line(stat = 'density')+ xlim(c(35,105)) #4.2 使用geom_line(不绘制两侧和底部构成封闭的图形) #adjust参数调整曲线光滑程度,默认1.值越大曲线越光滑 ggplot(faithful,aes(x=waiting))+ geom_line(stat = 'density',adjust=0.75)+ xlim(35,105) ...
p1<-ggscatter(mydf,x="DPS",y="ISG",add="reg.line") 添加置信区间 代码语言:javascript 代码运行次数:0 运行 AI代码解释 p2<-ggscatter(mydf,x="DPS",y="ISG",add="reg.line",conf.int=T) 更改坐标轴标签 代码语言:javascript 代码运行次数:0 ...
The differentpoint shapesin R are describedhere. The availableline typesare shownhere. # Change color of both line and points # Change line type and point type, #and use thicker line and larger points # Change points to circles with white fill ggplot2.lineplot(data=df, xName="time", y...
R绘图 第七篇:绘制条形图(ggplot2) 使用geom_bar()函数绘制条形图,条形图的高度通常表示两种情况之一:每组中的数据的个数,或数据框中列的值,高度表示的含义是由geom_bar()函数的参数stat决定的,stat在geom_bar()函数中有两个有效值:count和identity。默认情况下,stat="count",这意味着每个条的高度等于每组中...
geom_smooth()函数增加了一条“平滑”曲线,需要 线性拟合(method="lm"),并且产生一条红色(color="red")虚线(linetype=2),线条尺寸为1(size=1)。默认情况下,平滑的曲线包括在95%的置信区间(较暗带)内。 4. ggplot2包提供了分组和小面化(faceting)的...
element_line(colour = “gray”), plot.title = element_text(hjust = 0.5), plot.subtitle = element_text(hjust = 0.5) ) + ylab(“”) + xlab(“”)Note that I saved everything except the original graph’s first ggplot() line of code to the custom geom.Here’s how simple...