4 How To Visualize The Importance Of Variables Using featurePlot
Load Package And Data
load("../../data/craet_3-3.Rdata")
library(tidyverse)
library(caret)
Q: How The Predictors Influence The Y
选择重要的变量: 通过观察在Y的分组下各个变量的分布情况
一般有 箱线图 和 密度图
box-plot
featurePlot(x = trainData[, 1:18],
y = trainData$Purchase,
plot = "box",#"density"
strip=strip.custom(par.strip.text=list(cex=.7)),
scales = list(x = list(relation="free"),
y = list(relation="free")))
Density
featurePlot(x = trainData[, 1:18],
y = trainData$Purchase,
plot = "density",
strip=strip.custom(par.strip.text=list(cex=.7)),
scales = list(x = list(relation="free"),
y = list(relation="free")))
save.image("../../data/craet_4.Rdata")