【发布时间】:2015-09-25 04:45:57
【问题描述】:
我的任务是:
使用 jumps 包中的 regsubsets 函数进行穷举搜索
对于最佳子集回归模型。然后比较为每个选择的调整后的r^2
子集大小。根据这个标准,哪个模型最好?你将不得不
查看summary.regsubsets 的组件。在那里你可以找到相关的。
在每种尺寸下选择的最佳模型的不同优化标准的值。
我有一个我调用的数据集 cigs
q=regsubsets(Sales~Age+HS+Income+Black+Female+Price, data=cigs, method="exhaustive")
所有这些都是正确的变量
summary(q)
返回
Subset selection object
Call: regsubsets.formula(Sales ~ Age + HS + Income + Black + Female +
Price, data = cigs, method = "exhaustive")
6 Variables (and intercept)
Forced in Forced out
Age FALSE FALSE
HS FALSE FALSE
Income FALSE FALSE
Black FALSE FALSE
Female FALSE FALSE
Price FALSE FALSE
1 subsets of each size up to 6
Selection Algorithm: exhaustive
Age HS Income Black Female Price
1 ( 1 ) " " " " "*" " " " " " "
2 ( 1 ) " " " " "*" " " " " "*"
3 ( 1 ) "*" " " "*" " " " " "*"
4 ( 1 ) "*" " " "*" "*" " " "*"
5 ( 1 ) "*" " " "*" "*" "*" "*"
6 ( 1 ) "*" "*" "*" "*" "*" "*"
知道为什么这没有给我任何关于r^2的信息吗?
【问题讨论】:
标签: r regression subset