如果想对 3 个数值型变量的关系进行可视化，可以使用 scatterplot3d 包的 scatterplot3d( )函数，使用...
library(scatterplot3d) data(trees) scatterplot3d(trees, type = "h", highlight.3d = TRUE, angle = 55, pch = 16) 上面函数 scatterplot3d( )中的参数 type 用于设置绘图的类型,默认为“p”(点),这里设为“h”,显示垂线段。参数 angle 用于设置 x 轴和 y 轴的角度。需要注意的是,用静态的三...
Basic 3D Scatter Plot 3D Scatter Plot with Color Scaling Related Book GGPlot2 Essentials for Great Data Visualization in R Prerequisites Load required R packages library(tidyverse)library(plotly) Data preparation: df <- mtcars %>% rownames_to_column() %>% as_data_frame() %>% mutate(am = ...
par(mfrow=c(2,2)) #设置输出区为2行2列排版,同时输出4副图 scatterplot3d(data_3[,c(1,3,2)],color=colors, angle=45,pch=16,main="ori plot") scatterplot3d(data_pca_noscale_pc,color=colors, angle=45,pch=16,main="PCA noscale") scatterplot3d(data_3_cs[,c(1,3,2)],color=colors...
scatterplot3d(x=wt,y=disp,z=mpg, pch=16,highlight.3d = T, type='h') detach(mtcars) #1.2.1 三维散点图添加回归面 p245 attach(mtcars) s3d<-scatterplot3d(wt,disp,mpg, pch=16,highlight.3d = T, type='h') fit<-lm(mpg~wt+disp) ...
scatterplot3d(x,y,z,pch = 20,log = "z") 1. 2. 3. 4. 第二种缺点:无法取对数分布 z<-seq(from=195779-15,to=195779+15,by=0.001) x<-sin(z)-z*cos(z) y<-cos(z)-z*sin(z) scatter3D(x, y, z, phi = 1, col = ramp.col(col = c("cyan", "blue"),),pch =18, ...
iplot(mydatay, main=“Image Scatter Plot with Color Indicating Density”) 1. 2. IDPmisc的iplot()函数 三维散点图 如果想一次对三个定量变量的交互进行可视化,那么可以使用scatterplot3d中的scatterplot3d()函数进行绘制。 library(scatter3d) attach(mtcars) scatterplot3d(wt, disp, mpg, main=“Basic...
在plot或ggplot2中为R绘制alphashape3d 从R中的plot3D包设置scatter3D中的页边距 使用plot3D库中的scatter3D()函数标记点和定义组颜色 使用Axes3D.plot_wireframe和Axes3D.scatter打印:线框隐藏的散点 同一条形图中的ggplot2 geom_plot值 TropFishR plot.lfq函数限制,如何在ggplot2中生成类似的图形 如何在geom_...
You can add an ellipse to your scatter plot adding the stat_ellipse layer, as shown in the example below. # install.packages("ggplot2") library(ggplot2) ggplot(df, aes(x = x, y = y)) + geom_point() + stat_ellipse() Customization The color, line type and line width of the elli...
ggarrange(sp, #First row with scatter plot(sp) ggarrange(bxp, dp, ncol = 2, labels = c("B","C")),#Second row with box and dot plot nrow = 2, labels = "A" #Labels of the scatter plot) R包cowplot cowplot::ggdraw()可以将图形置于特定位置, ggdraw()首先会初始化一个绘图面板,...