AI代码解释 ggplot(frame,aes(group,num,fill=group))+geom_col()+geom_errorbar(aes(group,ymin=mean-sd,ymax=mean+sd,color=group),width=0.6,size=1)+xlab("Group")+ylab("OR")+theme(legend.position="none",axis.title=element_text(size=15),axis.text=element_text(size=15))+annotate("text"...
之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。一个离散型变量，一个连续型变量：包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() for line plot• g...
AI代码解释 # 显示坐标轴直线,并设置为黑色theme(axis.line=element_line(colour="black"))其他参数:大小size; 两边界线末端仅部分重叠,完全重叠设置:lineend="square"; 4.3 设置连续型坐标轴范围 代码语言:javascript 代码运行次数:0 运行 AI代码解释 xlim()# 设置连续性x轴的最小值和最大值ylim()# 同上yli...
p+ggtitle("Plot title here")+theme( axis.title.x = element_text(colour = "red",size = 14), axis.text.x = element_text(colour = "blue"), axis.title.y = element_text(colour = "red",size = 14,angle = 90), axis.text.y = element_text(colour = "blue"), plot.title = element...
#可视化 plotb<-ggplot() + geom_polygon(data = triangle_data, aes(x = x, y = y), fill = "grey", alpha = 0.5) + geom_point(data = data_weights, aes(x = actual, y = predicted, color = treatment), size = 3, alpha = 0.8) + scale_color_manual(values = c("#3e5fa6", ...
outlier.size=2.5,##异常点大小 outlier.stroke=0.5,##异常点边框线条粗细 outlier.alpha=0.7)#异常点透明度 #去除 ggplot(df,aes(group1,value))+ geom_boxplot(aes(fill=group1), outlier.color=NA)#异常点去除 5、箱线图添加散点(下列两种方式都可以实现): ...
ggplot(ToothGrowth, aes(x=dose, y=len,color=dose)) +geom_boxplot(outlier.colour="red", outlier.shape=7,outlier.size=4)+scale_color_manual(values=c("#999999","#E69F00","#56B4E9"))+theme(legend.position="right")+labs(title="Plot of length per dose",x="Dose (mg)", y ="Lengt...
ggplot(ToothGrowth, aes(x=dose, y=len,color=dose)) +geom_boxplot(outlier.colour="red", outlier.shape=7,outlier.size=4)+scale_color_manual(values=c("#999999","#E69F00","#56B4E9"))+theme(legend.position="right")+labs(title="Plot of length per dose",x="Dose (mg)", y ="Lengt...
plot(data$x, data$y)# Draw plots with different sizesplot(data$y, type="l")hist(data$x)boxplot(data$x) Figure 2 shows the output of the previous code: A grid layout of Base R plots with different sizes. Example 2: Change Size of Plots in ggplot2 Grid Layout ...
factor(gt))) + geom_boxplot(outlier.shape = NA) + ggtitle("G-CSF") + geom_jitter(width=0.2,col='gray45') + theme_classic() + scale_fill_manual(values = c("#00AFBB", "#E7B800", "#FC4E07")) p3 p4<-dat02 %>% filter(cytokine == "IL1B") %>% mutate(new_value=qqnorm...