如何将回归分析的系数导出到电子表格或csv文件?

问题描述

我是RStudio的新手，我想我的问题很容易解决，但是很多搜索对我没有帮助.

I am new to RStudio and I guess my question is pretty easy to solve but a lot of searching did not help me.

我正在进行回归，并且summary(regression1)向我显示了所有系数，依此类推.现在我正在使用coef(regression1)，所以它只给了我要导出到文件中的系数.

I am running a regression and summary(regression1) shows me all the coefficients and so on. Now I am using coef(regression1) so it only gives me the coefficients which I want to export to a file.

write.csv(coef, file="regression1.csv)和"Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class ""function"" to a data.frame"出现.

如果您能帮助我，那会很好.我现在在网上搜索了几个小时，但没有成功.

Would be great If you could help me. I am searching the web for a few hours now and was not successful.

我是否必须以某种方式更改coef，使其适合data.frame?

Do I have to change coef somehow so it fits in a data.frame?

非常感谢！

推荐答案

有一个名为 broom 简化了此任务，它将模型输出转换为整洁的数据帧.这是一个自包含的可重现示例:

There's a contributed package called broom that simplifies this task, it converts model output to tidy dataframes. Here's a self-contained reproducible example:

下载并安装软件包:

library(devtools)
install_github("dgrtwo/broom")
library(broom)

这是正常的基本输出，不是很方便:

Here's the normal base output, not very convenient:

lmfit <- lm(mpg ~ wt, mtcars)
lmfit

Call:
lm(formula = mpg ~ wt, data = mtcars)

Coefficients:
(Intercept)           wt  
     37.285       -5.344 

在通过broom软件包整理后，具有相同的模型输出，使用起来更方便，更方便:

Here's the same model output after it's been tidied up by the broom package, much nicer and easier to work with:

tidy_lmfit <- tidy(lmfit)
tidy_lmfit
         term  estimate std.error statistic      p.value
1 (Intercept) 37.285126  1.877627 19.857575 8.241799e-19
2          wt -5.344472  0.559101 -9.559044 1.293959e-10

这是将数据框写入CSV的方法:

And here's how you'd write that dataframe to CSV:

write.csv(tidy_lmfit, "tidy_lmfit.csv")

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