data<-data.frame(x,y)reg<-lm(formula=y~x,data=data)#get intercept and slope valuecoeff<-coefficients(reg)intercept<-coeff[1]slope<-coeff[2]# Create basic ggplotggp<-ggplot(data,aes(x,y))+geom_point()# add the regression lineggp+geom_abline(intercept=intercept,slope=slope,color="red"...
利用geom_smooth()添加回归线 # Load the ggplot2 package library(ggplot2) # Create a scatterplot ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() # Add a regression line ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + geom_smooth(method = "lm", color = "red",...
https://stackoverflow.com/questions/7549694/add-regression-line-equation-and-r2-on-graph 首先是模拟一份数据集 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df<-data.frame(x = c(1:100)) df$y <- 2 + 3 * df$x + rnorm(100, sd = 40) head(df) ggplot2基本的散点图并添加拟合...
Add regression line, correlation coefficient and equantions of the fitted line. Key functions: stat_smooth()[ggplot2] stat_cor()[ggpubr] stat_poly_eq()[ggpmisc] 代码语言:javascript 代码运行次数:0 运行 AI代码解释 formula<-y~x p+stat_smooth(aes(color=Species,fill=Species),method="lm")+...
#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)+ ...
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...
# loess method: local regression fitting p3 <- ggscatter(df, x = "wt", y = "mpg", add = "loess", conf.int = TRUE, cor.coef = TRUE, # Add correlation coefficient. see ?stat_cor cor.coeff.args = list(method = "spearma...
add = "reg.line", # Add regression line = TRUE, # Add confidence interval color = "cyl", palette = "jco", # Color by groups "cyl" shape = "cyl" # Change point shape by groups "cyl" )+ stat_cor(aes(color = cyl), label.x = 3) # Add correlation coefficient sp ### 以下三...
#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 ...
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 ...