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]formula <- y ~ xp + stat_smooth( aes(color = Species, fill = Species), method = "lm") + stat_cor(aes(color = Species...
("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...
p3 p4 <- p + geom_smooth(method = "lm", se = FALSE) #no the confidence interval band p4 #(3)多项式回归 p5 <- ggplot(mtcars, aes(qsec, hp)) + geom_point() + geom_smooth(method = "lm", formula = y ~ poly(x, 2)) #polynomial regression line 多项式回归 这里是二次多项式 p5...
theme:调整不与数据有关的图的元素的函数。theme函数采用了四个简单地函数来调整所有的主题特征:element_text调整字体,element_line调整主题内的所有线,element_rect调整所有的块,element_blank清空。theme(panel.grid =element_blank()) ## 删去网格线
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 ...
formula<-y~x+I(x^2) ggplot(cars, aes(speed,dist))+geom_point()+stat_quant_line(formula=formula,quantiles=0.5)+stat_quant_eq(formula=formula,quantiles=0.5) Band highlighting the region between both quartile regressions and a line for the median regression. ...
Band highlighting the region between both quartile regressions and a line for the median regression. formula<-y~x+I(x^2) ggplot(cars, aes(speed,dist))+geom_point()+stat_quant_band(formula=formula) A quadrant plot with counts and labels, usinggeom_text_repel()from package ‘ggrepel’. ...
r2=r2,stringsAsFactors=FALSE)#plot the simple scatterplot>p<-ggplot(dat,aes(x=degree,y=complex,colour=degree>=63))+geom_point(shape=19)+xlab("Degree of WD40 proteins")+ylab("Number of complexes")#linear regression analysis>dat.lm<-lm(complex~degree,data=dat)#add a line and labels for...
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 带(ribbon,smooth):透明是特征是透明的fill 补:包...