color,size和linetype:指定回归曲线的颜色、粗细和线型。 fill:指定置信区间的填充颜色。 method:用于指定曲线拟合的方法。 b <- ggplot(df, aes(x = wt, y = mpg)) # Scatter plot with regression line b + geom_point()+ geom_smooth(method = "lm", color = "black", fill = "lightgray") # ...
library(ggplot2) data(mtcars) df <- mtcars df$cyl <- as.factor(df$cyl) cor.test(df$mpg,df$wt) b <- ggplot(df, aes(x = wt, y = mpg)) # Scatter plot with regression line b + geom_point()+ geom_smooth(method = "lm")+ annotate("text",label="Pearson:R==-0.8677~p<0.001...
A custom scatterplot with an overlayed regression fit and auto-positioned labels to explore the relationship between the Corruption Perceptions Index and Human Development Index made withRand thetidyverse. This post includes a variety of custom colors, markers, and layout adjustments. The libraryggrepe...
# A scatterplot with regular (linear) axis scaling sp <- ggplot(dat, aes(xval, yval)) + geom_point() library(scales) sp + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels = trans_format("log2", math_format(2^.x))) set.se...
Scatterplot with regression line #Add linear regression line ggplot2.scatterplot(data=df, xName='wt',yName='mpg', addRegLine=TRUE, regLineColor="blue") #Add the 95% confidence region ggplot2.scatterplot(data=df, xName='wt',yName='mpg', addRegLine=TRUE, regLineColor="blue"...
s3d<-scatterplot3d(wt,disp,mpg,pch=16,highlight.3d=TRUE,type="h",main="3D Scatter Plot with Vertical Lines and Regression Plane") fit<-lm(mpg~wt+disp) s3d$plane3d(fit) #旋转三维散点 install.packages("rgl") library(rgl) plot3d(wt,disp,mpg,col="red",size=5) ...
Refer to the previous exercise. Check the assumptions on the regression model and report your results. Be sure to include the scatterplot with regression equation, normal QQ plot, and residual plot. Explain what you see. Refer to exercise 1. Experiment with different transformations of the data...
ggarrange(ggsurv$plot, ggsurv$table, heights = c(2, 0.7), ncol = 1, nrow = 2, align ="v") 改变排列图的行列 设置面板为两行两列,其中sp占据第一行的两列,bxp以及dp置于第二行的两列 ggarrange(sp,#First row with scatter plot(sp)ggarrange(bxp, dp, ncol = 2, labels = c("B","C...
The plot contains: the points the regression line (in green) the smoothed conditional spread (in red dashed line) the non-parametric regression smooth (solid line, red) # Suppress the smoother and frame scatterplot(wt ~ mpg, data = mtcars, smoother = FALSE, grid = FALSE, frame = FALSE)...
The scatter plot of the eruption durations and waiting intervals is as follows. It reveals a positive linear relationship between them. Enhanced Solution We can generate a linear regression model of the two variables with the lm function, and then draw a trend line with abline. > abline(lm...