add.params = list(color = "blue", fill = "lightgray"), # Customize reg. line conf.int = TRUE, # Add confidence interval cor.coef = TRUE, # Add correlation coefficient. see ?stat_cor cor.coeff.args = list(method = "pearson...
stat_cor(aes(color=cyl), label.x =3)#Add correlation coefficientsp 图形排列 多幅图形排列于一面 ggpubr::ggarrange() ggarrange(bxp, dp, bp+rremove("x.text"), labels = c("A","B","C"), ncol = 2, nrow = 2) cowplot::plot.grid() plot_grid(bxp, dp, bp+rremove("x.text"),...
x = 3) #Add correlation coefficientsp 图形排列 多幅图形排列于一面 ggpubr::ggarrange() ggarrange(bxp, dp, bp+rremove("x.text"), labels = c("A", "B", "C"), ncol = 2, nrow = 2) cowplot::plot.grid() plot_grid(bxp, dp, bp+rremove("x.text"), labels = c("A", "B...
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...
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")+...
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 ...
If TRUE, correlation matrix will be hc.ordered using hclust function. hc.method the agglomeration method to be used in hclust (see ?hclust). lab logical value. If TRUE, add correlation coefficient on the plot. lab_col, lab_size size and color to be used for the correlation coefficient ...
Basic scatterplot with correlation coefficient. The functionstat_cor()[ggpubr R package] is used to add the correlation coefficient. library("ggpubr") p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() + geom_smooth(method = lm) + ...
Usegeom_text()to add the correlation coefficients on the graph Use ablank theme(remove axis labels, panel grids and background, and axis ticks) Useguides()to change the position of the legend title ggheatmap + geom_text(aes(Var2, Var1, label = value), color = "black", size ...