在R中循环多个“多重线性回归" [英] Loop multiple 'multiple linear regressions' in R

问题描述

我有一个数据库，我想在其中进行多个多元回归.它们都看起来像这样:

I have a database where I want to do several multiple regressions. They all look like this:

fit <- lm(Variable1 ~ Age + Speed + Gender + Mass, data=Data)

唯一的变量更改是variable1.现在，我想循环或使用apply系列中的某些内容在variable1处循环几个变量.这些变量是我的数据文件中的列.有人可以帮我解决这个问题吗?非常感谢！

The only variable changing is variable1. Now I want to loop or use something from the apply family to loop several variables at the place of variable1. These variables are columns in my datafile. Can someone help me to solve this problem? Many thanks!

到目前为止我尝试过的事情:

当我使用names()函数提取列名称之一时，确实得到了列名称:

When I extract one of the column names with the names() function I do get a the name of the column:

varname  = as.name(names(Data[14])) 

但是当我填写此内容时(我使用了attach()函数):

But when I fill this in (and I used the attach() function):

fit <- lm(Varname ~ Age + Speed + Gender + Mass, data=Data) 

我收到以下错误:

model.frame.default中的错误(公式=变量名〜年龄+速度+性别 +:对象不是矩阵

Error in model.frame.default(formula = Varname ~ Age + Speed + Gender + : object is not a matrix

我想lm()函数不能将Varname识别为Variable1.

I suppose that the lm() function does not recognize Varname as Variable1.

推荐答案

您可以使用lapply遍历变量.

fit <- lapply(Data[,c(...)], function(x) lm(x ~ Age + Speed + Gender + Mass, data = Data))

这会为您提供结果列表.

This gives you a list of your results.

c(...)应包含变量名作为字符串.另外，您可以根据变量在Data中的位置选择变量，例如Data[,1:5].

The c(...) should contain your variable names as strings. Alternatively, you can choose the variables by their position in Data, like Data[,1:5].

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