使用Stargazer或其他软件包在Knitr中呈现Zelig Logistic回归 [英] Presenting Zelig Logistic Regression in Knitr with Stargazer or Other Package

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本文介绍了使用Stargazer或其他软件包在Knitr中呈现Zelig Logistic回归的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

除逻辑回归外,Stargazer似乎采用了大多数Zelig模型对象:

Stargazer appears to take most Zelig model objects except logistic regression:

m1 <- zelig(voted ~ . - weight_full - by,
        weights = mydata$weight_full,
        data=mydata,
        model="logit",
        cite = FALSE)

我从上面的代码中收到以下警告:

I receive the following warning from the above code:

# Error in envRefInferField(x, what, getClass(class(x)), selfEnv)  
# ‘result’ is not a valid field or method name for reference class "Zelig-logit"

任何人都可以使用Knitr在回归输出表中呈现这样的模型来生成.tex/.Rnw文件吗?

Anyone have any alternatives for presenting such a model in a regression output table using Knitr to produce a .tex/.Rnw file?

推荐答案

Zegig软件包现在包括一个便捷功能,可以轻松提取拟合的模型对象:

The Zelig package now includes a convenience function that makes it easy to extract fitted model objects:

stargazer(from_zelig_model(m1))

应该产生预期的结果.

这篇关于使用Stargazer或其他软件包在Knitr中呈现Zelig Logistic回归的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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