多變量資料繪圖

R 的多變量機率分配

Surajit Ray

Professor, University of Glasgow

各種繪圖選項

pairs(iris_raw[, 1:4])

pairs plot

pairs(iris_raw[, 1:4], col = iris_raw$Species)

pairs plot by species

library(lattice)
splom(~iris_raw[, 1:4], col = iris_raw$Species, pch = 16)

library(ggplot2)
library(GGally)
ggpairs(data = iris_raw, columns = 1:4, mapping = aes(color = Species))

ggplot

library(scatterplot3d)
scatterplot3d(iris_raw[, c(1, 3, 4)], color = as.numeric(iris_raw$Species))

scatterplot3d(iris_raw[, c(1, 3, 4)], color = as.numeric(iris_raw$Species),pch = 4, angle = 80)

3dchange

R 的多變量機率分配