ggplot(data=ToothGrowth, mapping=aes(x=dose))+ geom_bar(stat="count") 1. 2. 当然,我们也可以先对数据进行处理,得到按照Improved进行分类的频数分布表,然后使用geom_bar()绘制条形图: mytable <- with(Arthritis,table(Improved)) df <- as.data.frame(mytable) ggplot(data=df, mapping=aes(x=Improv...
p + guides(colour=guide_legend(title=NULL)) #注意colour/fill/color/shape转换 #第二种,所有的表题全部移除 # Remove title for all legends p + theme(legend.title=element_blank()) 4.图例位置 #1: around the plot "none", "left", "right", "bottom", "top" basic + theme(legend.position ...
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...
在我们的绘图中,经常要对图形作一些微调,尽管ggplot绘图函数中有相应的参数,但是调解起来不免有些麻烦。因此今天介绍一个好用的包—ggeasy,能对一些参数参数作出快速、准确的调整。在操作前大家先行自行下载(install.packages("ggeasy"))。 一、建立基础图形 ...
1 ggplot2入门笔记1—ggplot2简要教程 href="https://github.com/luohenyueji/R-Study-Notes/blob/master/ggplot2%E5%85%A5%E9%97%A8%E7%AC%94%E8%AE%B0/%5BR%E8%AF%AD%E8%A8%80%5D%20ggplot2%E5%85%A5%E9%97%A8%E7%AC%94%E8%AE%B01%E2%80%94ggplot2%E7%AE%80%E8%A6%81%E6%95%...
ggerrorplot(data, x, y, desc_stat = "mean_se", combine = FALSE,merge=FALSE, color ="black", fill ="white", palette =NULL,size=NULL, width =NULL, title =NULL, xlab =NULL, ylab =NULL,facet.by =NULL, panel.labs =NULL, short.panel.labs...
[函数中的legend.key.size参数来调整图例标识符的大小,使用theme()函数中的legend.text参数来调整图例文本的大小,以及使用theme()函数中的legend.tit...
Remove the plot legend # Remove only the legend title p + theme(legend.title = element_blank()) # Remove the plot legend p + theme(legend.position='none') Remove slashes in the legend of a bar plot # Default plot ggplot(data=ToothGrowth, aes(x=dose, fill=...
ggboxplot(data, x, y, combine = FALSE,merge=FALSE, color ="black",fill ="white", palette =NULL, title =NULL, xlab =NULL,ylab =NULL, facet.by =NULL, panel.labs =NULL,short.panel.labs =TRUE, linetype ="solid",size=NULL, width =0.7,notc...