# 散点图 Scatter_plots <- ggscatter(mtcars, x = "wt", y = "mpg",add="reg.line",#Addregression lineconf.int=TRUE,#Addconfidence intervalcolor="cyl",palette="jco",# Colorbygroups"cyl"shape="cyl"# Change point shapebygroups"cyl")+stat_cor(aes(color = cyl), label.x = 3) # Ad...
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:# Polynomialregression. Sow equation and adjusted R2...
#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 coefficientsp ...
plot.title = element_text(size = 22, face = "bold", hjust = 0.5, margin = margin(b = 15)), axis.line = element_line(color = "black"), axis.title = element_text(size = 22, color = "black", face = "bold"), axis.text = element_text(size...
sort.by.groups=TRUE,#Sort inside each group x.text.angle=90#Rotate vertically x axis texts)bp+font("x.text",size=8) 代码语言:javascript 复制 #Scatterplots(sp)sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",#Add regression line ...
ggplot(data=dat, aes(x=time, y=total_bill, group=1)) + geom_line() + geom_point() 1.8、设置线形图线型及点的形状 ggplot(data=dat, aes(x=time, y=total_bill, group=1)) + geom_line(colour="red", linetype="dashed", size=1.5) + ...
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 复制 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曲线 代码语言:javascript 复制...
(mtcars, x = "wt", y = "mpg", add = "reg.line", # Add regression line conf.int = 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 = ...
ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp))+ geom_point() 1. 2. 3. 修改线型、点的形状以及颜色 ggplot(df, aes(x=dose, y=len, group=supp)) + geom_line(aes(linetype=supp, color = supp))+ geom_point(aes(shape=supp, color = supp)) 1. 2....
# Change colors and linetype by groups ("sex") # Use custom palette p2 <- ggecdf(wdata, x = "weight", color = "sex", linetype = "sex", palette = c("#00AFBB", "#E7B800")) p2 1 2 3 4 p3 <- ggecdf(wdata, x...