[英]extract coefficients from glm in R
I have performed a logistic regression with the following result: 我已经进行了逻辑回归,结果如下:
ssi.logit.single.age["coefficients"]
# $coefficients
# (Intercept) age
# -3.425062382 0.009916508
I need to pick up the coefficient for age
, and currently I use the following code: 我需要拿起age
系数,目前我使用以下代码:
ssi.logit.single.age["coefficients"][[1]][2]
It works, but I don't like the cryptic code here, can I use the name of the coefficient (ie (Intercept)
or age
) 它有效,但我不喜欢这里的神秘代码,我可以使用系数的名称(即(Intercept)
或age
)
有一个名为coef
的提取函数可以从模型中获取系数:
coef(ssi.logit.single.age)["age"]
I've found it, from here 我从这里找到了它
Look at the data structure produced by summary() 查看summary()生成的数据结构
> names(summary(lm.D9))
[1] "call" "terms" "residuals" "coefficients"
[5] "aliased" "sigma" "df" "r.squared"
[9] "adj.r.squared" "fstatistic" "cov.unscaled"
Now look at the data structure for the coefficients in the summary: 现在看一下摘要中系数的数据结构:
> summary(lm.D9)$coefficients
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.032 0.2202177 22.850117 9.547128e-15
groupTrt -0.371 0.3114349 -1.191260 2.490232e-01
> class(summary(lm.D9)$coefficients)
[1] "matrix"
> summary(lm.D9)$coefficients[,3]
(Intercept) groupTrt
22.850117 -1.191260
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