add regression line to scatter plot in rggplot2 http://www.cookbook-r.com/Graphs/Scatterplots_(ggplot2)/ http://stackoverflow.com/questions/7549694/ggplot2-adding-regression-line-equation-and-r2-on-graph 然后我只看了这两个链接而已,就得到了自己想要的图! 比如画多个分组变量(SNV和INDEL的het,ho...
Add regression line, correlation coefficient and equantions of the fitted line. Key functions: stat_smooth()[ggplot2] stat_cor()[ggpubr] stat_poly_eq()[ggpmisc]formula <- y ~ xp + stat_smooth( aes(color = Species, fill = Species), method = "lm") + stat_cor(aes(color = Species...
#Scatter plots(sp)sp <- ggscatter(mtcars, x="wt", y="mpg",add="reg.line",#Add regressionlineconf.int= TRUE,#Add confidence intervalcolor ="cyl", palette ="jco",#Color by group cylshape ="cyl"#Change point shape by groups cyl)+ stat_cor(aes(color=cyl), label.x =3)#Add corr...
第一选择一定是散点图(Whenever you want to understand the nature of relationship between two variables, invariably the first choice is the scatterplot);ggplot2中用来画散点图的函数是geom_point(),同时可以用geom_smooth()函数添加拟合
#Scatterplots(sp)sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",#Addregressionline=TRUE,#Add confidenceintervalcolor="cyl",palette="jco",#Colorbygroupcylshape="cyl"#Change point shape by groups cyl)+stat_cor(aes(color=cyl),label.x=3)#Add correlation coefficientsp ...
使用ggplot2绘制图形比R自带的绘图函数方便很多。使用前需要用install安装包，并用library将包引入程序中 ...
qplot()类似于R基本绘图函数plot(),可以快速绘制常见的几种图形:散点图、箱线图、 小提琴图、直方图以及密度曲线图。其绘图格式为: qplot(x, y=NULL, data, geom="auto") 1. 其中: x,y: 根据需要绘制的图形使用; data:数据集; geom:几何图形,变量x,y同时指定的话默认为散点图,只指定x的话默认为直方...
To add a regression line on a scatter plot, the functiongeom_smooth()is used in combination with the argumentmethod = lm.lmstands for linear model. p <- ggplot(cars, aes(speed, dist)) + geom_point()# Add regression linep + geom_smooth(method = lm)# loess method: local regression ...
线(line,vline,abline,hline,stat_function等):一般是基于函数来处理位置 射(segment):特征是指定位置有xend和yend,表示射线方向 面(tile, rect):这类一般有xmax,xmin,ymax,ymin指定位置 棒(boxplot,bin,bar,histogram):往往是二维或一维变量,具有width属性 ...
ggplot2是由Hadley Wickham创建的一个十分强大的可视化R包。按照ggplot2的绘图理念,Plot(图)= data(数据集)+ Aesthetics(美学映射)+ Geometry(几何对象): data: 数据集,主要是data frame; Aesthetics: 美学映射,比如将变量映射给x,y坐标轴,或者映射给颜色、大小、形状等图形属性; ...