2. 添加回归线 # Fit regression linerequire(stats)reg<-lm(mpg~wt,data=mtcars)reg coeff<-coefficients(reg)# Equation of the line :eq<-paste0("y = ",round(coeff[2],1),"*x + ",round(coeff[1],1))# Plotsp+geom_abline(intercept=37,slope=-5)+ggtitle(eq)# Change line type, color...
mean = 0, sd = mean(x^3) / 4)my.data <- data.frame(x, y, group = c("A", "B"), y2 = y * c(0.5,2), block = c("a", "a", "b", "b"))Fit polynomial regression line and add labels:# Polynomial regression. Sow equation and adjusted...
13. #Scatterplots(sp)sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",#Add regression line conf.int=TRUE,#Add confidenceintervalcolor="cyl",palette="jco",#Colorbygroupcylshape="cyl"#Change point shape by groups cyl)+stat_cor(aes(color=cyl),label.x=3)#Add correlation coefficients...
#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...
回归分析(Regression analysis)是对具有因果关系的影响因素(自变量)和预测对象(因变量)所进行的数理统计分析处理。只有当变量与因变量确实存在某种关系时,建立的回归方程才有意义。按照自变量的多少,可分为一元回归分析和多元回归分析;按照自变量和因变量之间的关系类型,可分为线性回归分析和非线性回归分析。比较常用的是...
("a", "a", "b", "b")) Fit polynomial regression line and add labels: # Polynomial regression. Sow equation and adjusted R2 formula <- y ~ poly(x, 3, raw = TRUE) p <- ggplot(my.data, aes(x, y2, color = group)) + geom_point() + geom_smooth(aes(fill = group), method...
# stat_smooth默认的level为0.95,即 a 95% confidence region for the regression fit sp + geom_point() + stat_smooth() sp + geom_point() + stat_smooth(method = lm) sp + geom_point() + stat_smooth(method = lm, level = 0.99) ...
#Scatterplots(sp)sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",#Add regression line conf.int=TRUE,#Add confidence interval color="cyl",palette="jco",#Color by group cyl shape="cyl"#Change point shape by groups cyl)+stat_cor(aes(color=cyl),label.x=3)#Add correlation coeffici...
1 Plot multiple regression lines on one plot in ggplot2 0 Adding fit line to multiple ggplot outputs 1 Making lines of best fits in R for multiple lines using ggplot2 Hot Network Questions WW2 Bombers continuing on one of 2 or 4 engines, how would that work? Suitable...
If TRUE, the fit spans the full range of the plot level : level of confidence interval to use. Default value is 0.95 # Add the regression line ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point()+ geom_smooth(method=lm) # Remove the confidence interval ggplot(mtcars, aes(x=wt, y=...